{"id":386,"date":"2020-05-29T20:15:26","date_gmt":"2020-05-29T11:15:26","guid":{"rendered":"http:\/\/www.srg.mech.keio.ac.jp\/wordpress\/?page_id=386"},"modified":"2025-08-26T19:54:51","modified_gmt":"2025-08-26T10:54:51","slug":"publication","status":"publish","type":"page","link":"https:\/\/www.srg.mech.keio.ac.jp\/en\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"\n

Journal<\/h2>\n\n\n\n

2025<\/h3>\n\n\n\n
    \n
  1. Nakano, T., Omura, T., Galati, R., & Ishigami, G. “Dem-based analysis and optimization of an excavation bucket drum for in-situ resource utilization. ” Journal of Terramechanics, 120, 101073. (2025). https:\/\/doi.org\/10.1016\/j.jterra.2025.101073<\/a><\/li>\n\n\n\n
  2. T. Omura and G. Ishigami. “Granular Scaling Laws for accurate prediction of wheel mobility on slopes in low-gravity environments” Journal of Terramechanics, 120, 101085. (2025). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0022489825000412<\/a><\/li>\n<\/ol>\n\n\n\n

    2024<\/h3>\n\n\n\n
      \n
    1. R. Shimada and G. Ishigami. “Tangle-and contact-free path planning for a tethered mobile robot using deep reinforcement learning.” Frontiers in Robotics and AI, 11 (2024): 1388634. https:\/\/www.frontiersin.org\/journals\/robotics-and-ai\/articles\/10.3389\/frobt.2024.1388634\/full<\/a><\/li>\n\n\n\n
    2. N. Sato and G. Ishigami. “Parameter study and identification of DEM modeling for varied sand moisture content based on bulldozing experiment.” Journal of Terramechanics, 113\u2013114, 100971. (2024). https:\/\/doi.org\/10.1016\/j.jterra.2024.100971<\/a><\/li>\n\n\n\n
    3. R. Takemura and G. Ishigami, “Uncertainty-Aware Trajectory Planning: Using Uncertainty Quantification and Propagation in Traversability Prediction of Planetary Rovers,” in IEEE Robotics & Automation Magazine, vol. 31, no. 2, pp. 89-99, June 2024, doi: 10.1109\/MRA.2023.3341289. https:\/\/ieeexplore.ieee.org\/abstract\/document\/10378974<\/a><\/li>\n<\/ol>\n\n\n\n

      2023<\/h3>\n\n\n\n
        \n
      1. Ozaki, S., Ishigami, G., Otsuki, M. et al. Publisher Correction: Granular flow experiment using artificial gravity generator at International Space Station. npj Microgravity 9, 79 (2023). https:\/\/doi.org\/10.1038\/s41526-023-00325-9<\/a><\/li>\n\n\n\n
      2. Ozaki, S., Ishigami, G., Otsuki, M. et al. Granular flow experiment using artificial gravity generator at International Space Station. npj Microgravity 9, 61 (2023). https:\/\/doi.org\/10.1038\/s41526-023-00308-w<\/a><\/li>\n\n\n\n
      3. Takemura R, Aoki N, Ishigami G. Energy-and-perception-aware planning and navigation framework for unmanned aerial vehicles. Advances in Mechanical Engineering. 2023;15(4). doi:10.1177\/16878132231169688<\/a><\/li>\n\n\n\n
      4. Aoki, N., & Ishigami, G. (2022). Autonomous tracking and landing of an unmanned aerial vehicle on a ground vehicle in rough terrain. Advanced Robotics, 37(5), 344\u2013355. https:\/\/doi.org\/10.1080\/01691864.2022.2141078<\/a><\/li>\n<\/ol>\n\n\n\n

        2022<\/h3>\n\n\n\n
          \n
        1. M. Endo<\/a> and G. Ishigami, “Active Traversability Learning via Risk-Aware Information Gathering for Planetary Exploration Rovers,” in IEEE Robotics and Automation Letters<\/em>, vol. 7, no. 4, pp. 11855-11862, Oct. 2022, https:\/\/ieeexplore.ieee.org\/document\/9894664<\/a><\/li>\n\n\n\n
        2. Nobuaki Aoki & Genya Ishigami (2022) Autonomous tracking and landing of an unmanned aerial vehicle on a ground vehicle in rough terrain, Advanced Robotics,  DOI: 10.1080\/01691864.2022.2141078<\/a><\/li>\n\n\n\n
        3. Takemura, R., & Ishigami, G. (2022). Computationally efficient and sub-optimal trajectory planning framework based on trajectory-quality growth rate analysis. Frontiers in Robotics and AI<\/em>, 9<\/em>. https:\/\/doi.org\/10.3389\/frobt.2022.994437<\/a><\/li>\n\n\n\n
        4. \u6a4b\u722a \u5eb7\u4f51, \u9022\u6fa4 \u6b63\u61b2, \u5927\u4e95 \u5065, \u77f3\u4e0a \u7384\u4e5f, \u30d0\u30b1\u30c3\u30c8\u8ecc\u9053\u5f62\u72b6\u3092\u8003\u616e\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u6398\u524a\u62b5\u6297\u529b\u306e\u6642\u7cfb\u5217\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, 2023, 41 \u5dfb, 1 \u53f7, pp. 102-105, https:\/\/doi.org\/10.7210\/jrsj.41.102<\/a><\/li>\n\n\n\n
        5. \u77f3\u5ddd \u7a7a, \u77f3\u4e0a \u7384\u4e5f, Hardware-in-the-loop Simulator\u3092\u7528\u3044\u305f\u8eca\u8f2a\u578b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u4e0d\u6574\u5730\u8d70\u884c\u89e3\u6790\u3068\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, 2022, 40 \u5dfb, 6 \u53f7, p. 542-545, https:\/\/doi.org\/10.7210\/jrsj.40.542<\/a><\/li>\n<\/ol>\n\n\n\n

          2021<\/h3>\n\n\n\n
            \n
          1. Matsumura, R., Ishigami, G., Visualization and analysis of wheel camber angle effect for slope traversability using an in-wheel camera, Journal of Terramechanics, Vol. 93, pp. 1-10, February, 2021<\/li>\n\n\n\n
          2. Tsubaki, H., Ishigami, G., Experimental study on wheel-soil interaction mechanics using in-wheelsensor and particle image velocimetry Part I: Analysis and modeling of normal stress of lightweight wheeled vehicles, Journal of Terramechanics, Vol. 93, pp. 23-39, February, 2021<\/li>\n\n\n\n
          3. \u4f5c\u7950\u8f1d\uff0c\u9022\u6fa4\u6b63\u61b2\uff0c\u5927\u4e95\u5065\uff0c\u77f3\u4e0a\u7384\u4e5f \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u6398\u524a\u524d\u5f8c\u306e\u571f\u7802\u5909\u5f62\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9 \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c Vol. 39 No. 4 pp. 367-370\uff0c2021<\/li>\n\n\n\n
          4. Sakayori, G., and Ishigami, G., Energy-aware trajectory planning for planetary rovers Advanced Robotics Vol. 35 Issue 21-22 pp. 1302-1316\uff0c2021<\/li>\n\n\n\n
          5. Nakanishi, R., and Ishigami, G., Wide-range Routing Method for Lunar Exploration Rovers Using Multi-objective Optimization Advanced Robotics Vol. 35 Issue 21-22 pp. 1317-1331\uff0c2021<\/li>\n\n\n\n
          6. Saku, Y., Aizawa, M., Ooi, T., and Ishigami, G., Spatio-Temporal Prediction of Soil Deformation in Bucket Excavation Using Machine Learning Advanced Robotics Vol. 35 Issue 23 pp. 1404-1417\uff0c2021<\/li>\n\n\n\n
          7. Tomoya Goto, Genya Ishigami CNN-based Terrain Classification with Moisture Content Using RGB-IR Images Journal of Robotics and Mechatronics Vol. 33 No. 6 pp. 1294-1302\uff0c2021<\/li>\n\n\n\n
          8. \u9752\u6728 \u4f38\u6643, \u77f3\u4e0a \u7384\u4e5f, \u6642\u7a7a\u9593\u5909\u5316\u3059\u308b\u98a8\u901f\u30e2\u30c7\u30eb\u3092\u8003\u616e\u3057\u305fUAV\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u6d88\u8cbb\u306b\u57fa\u3065\u304f\u7d4c\u8def\u8a08\u753b\u624b\u6cd5, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, 2022, Vol. 40, Issue 3, pp. 255-258, https:\/\/doi.org\/10.7210\/jrsj.40.255<\/a><\/li>\n<\/ol>\n\n\n\n

            2020<\/h3>\n\n\n\n
              \n
            1. Tsuchiya, K., Ishigami, G., Vision-based measurement of spatio-temporal deformation of excavated soil for the estimation of bucket resistive force, Journal of Terramechanics, Vol. 90, pp. 11-21, August, 2020<\/li>\n\n\n\n
            2. Horiko, S., Ishigami, G., Experimental study on wheel-soil interaction mechanics using in-wheel sensor and particle image velocimetry part II. Analysis and modeling of shear stress of lightweight wheeled vehicle, Journal of Terramechanics, Vol. 91, pp. 243-256, October, 2020<\/li>\n\n\n\n
            3. \u698e\u7530\u76f4\u7d18\uff0c\u5bae\u5185\u8cb4\u5927\uff0c\u77f3\u4e0a\u7384\u4e5f\uff0c”\u5c0f\u578b\u63a2\u67fb\u30d7\u30ed\u30fc\u30d6\u642d\u8f09\u306e\u8907\u6570\u5e83\u89d2\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u7e26\u5b54\u5074\u58c1\u306e3\u6b21\u5143\u518d\u69cb\u6210” \u65e5\u672c\u60d1\u661f\u79d1\u5b66\u4f1a\u8a8c\uff0cVol. 29\uff0cNo. 4\uff0c pp. 208-217\uff0c2020\u5e7412\u6708<\/li>\n\n\n\n
            4. \u77f3\u4e0a\u7384\u4e5f, “\u30b5\u30a4\u30d0\u30b9\u30ed\u30f3\u96fb\u52d5\u8eca\u3044\u3059\u30b7\u30ea\u30fc\u30ba\u65e5\u672c2019”, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, Vol. 38, No. 2, pp. 151-154, 2020\u5e74<\/li>\n<\/ol>\n\n\n\n

              2019<\/h3>\n\n\n\n
                \n
              1. Yoshinada H., Kurashiki K., Kondo D., Nagatani K., Kiribayashi S., Fuchida M., Tanaka M., Yamashita A., Asama H., Shibata T., Okutomi M., Sasaki Y., Yokokohji Y., Konyo M., Nagano H., Kanehiro F., Sugihara T., Ishigami G., Ozaki S., Suzumori K., Ide T., Yamamoto A., Hioki K., Oomichi T., Ashizawa S., Tadakuma K., Takamori T., Kimura T., Murphy R., Tadokoro S., “Dual-arm construction robot with remote-control function,” Springer Tracts in Advanced Robotics, Vol. 128, pp. 195-264, 2019<\/li>\n\n\n\n
              2. Kanehiro F., Nakaoka S., Sugihara T., Wakisaka N., Ishigami G., Ozaki S., Tadokoro S., “Simulator for disaster response robotics,” Springer Tracts in Advanced Robotics, Vol. 128, pp. 453-477, 2019.<\/li>\n\n\n\n
              3. Genya Ishigami, “State-of-the-art technology seen at CYBATHLON Wheelchair Series Japan 2019, and more to come in 2020,” BMC’S BLOG NETWORK, Springer Nature, 2019. https:\/\/blogs.biomedcentral.com\/on-physicalsciences\/2019\/06\/10\/state-of-the-art-technology-seen-at-cybathlon-wheelchair-series-japan-2019\/<\/a><\/li>\n\n\n\n
              4. \u91d1\u5e83\u6587\u7537\uff0c\u4e2d\u5ca1\u614e\u4e00\u90ce\uff0c\u6749\u539f\u77e5\u9053\uff0c\u77f3\u4e0a\u7384\u4e5f\uff0c\u5c3e\u5d0e\u4f38\u543e\uff0c”\u30ed\u30dc\u30c3\u30c8\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u958b\u767a”, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, Vol. 37, No. 9, pp. 835-838, 2019\u5e74<\/li>\n<\/ol>\n\n\n\n

                2018<\/h3>\n\n\n\n
                  \n
                1. Shodai Deguchi, Genya Ishigami, “Computationally Efficient Mapping for a Mobile Robot with a Downsampling Method for the Iterative Closest Point,” Journal of Robotics and Mechatronics, Vol. 30, No. 1, pp. 65-75, February 2018<\/li>\n<\/ol>\n\n\n\n

                  2017<\/h3>\n\n\n\n
                    \n
                  1. Reiya Takemura, Genya Ishigami, “Traversability-Based RRT* for Planetary Rover Path Planning in Rough Terrain with LIDAR Point Cloud Data,” Journal of Robotics and Mechatronics, Vol. 29, No. 5, pp. 838-846, October 2017<\/li>\n\n\n\n
                  2. Arata Yanagisawa, Genya Ishigami, “Development and Performance Evaluation of Planar Travel Distance Sensors for Mobile Robots in Sandy Terrain,” Journal of Robotics and Mechatronics, Vol. 29, No. 5, pp. 887-894, October 2017<\/li>\n\n\n\n
                  3. Takuya Omura, Genya Ishigami, “Wheel Slip Classification Method for Mobile Robot in Sandy Terrain Using In-Wheel Sensor,” Journal of Robotics and Mechatronics, Vol. 29, No. 5, pp. 902-910, October 2017<\/li>\n<\/ol>\n\n\n\n

                    2016<\/h3>\n\n\n\n
                      \n
                    1. Takuma Nagata, Genya Ishigami, “Gyro-based Odometry associated with Steering Characteristics for Wheeled Mobile Robot in Rough Terrain,” Advanced Robotics, Accepted, 2016<\/li>\n<\/ol>\n\n\n\n

                      2015<\/h3>\n\n\n\n
                        \n
                      1. Takayuki Shirai, Genya Ishigami, “Development of in-wheel sensor system for accurate measurement of wheel terrain interaction characteristics,” Journal of Terramechanics, Vol. 62, pp. 51-61, December 2015<\/li>\n\n\n\n
                      2. Daiki Mori, Genya Ishigami, “Excavation model of soil sampling device based on particle image velocimetry,” Journal of Terramechanics, Vol. 62, pp.19-29, December 2015<\/li>\n\n\n\n
                      3. Genya Ishigami, Karl Iagnemma, Jim Overholt, Greg Hudas, “Design, Development, and Mobility test of an Omnidirectional Mobile Robot for Rough Terrain,” Journal of Field Robotics, Accepted, 2015<\/li>\n<\/ol>\n\n\n\n

                        2014<\/h3>\n\n\n\n
                          \n
                        1. \u77f3\u4e0a\u7384\u4e5f\uff0c”\u7c92\u5b50\u753b\u50cf\u8a08\u6e2c\u6cd5\u3092\u7528\u3044\u305f\u6a5f\u68b0\u3068\u571f\u58cc\u306e\u76f8\u4e92\u529b\u5b66\u73fe\u8c61\u306e\u89e3\u660e” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u8a8c\u30c8\u30d4\u30c3\u30af\u30b9\uff0cVol. 117(1147)\uff0c2014\u5e746\u6708<\/li>\n\n\n\n
                        2. \u5927\u69fb\u771f\u55e3\uff0c\u82e5\u6797\u5e78\u5b50\uff0c\u77f3\u4e0a\u7384\u4e5f\uff0c\u9808\u85e4\u771f\u7422\uff0c”JAXA\u306e\u63a2\u67fb\u30ed\u30fc\u30d0\u958b\u767a\u306e\u73fe\u72b6” \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c\uff0cVol. 32\uff085) 408-411\uff0c2014\u5e746\u6708<\/li>\n<\/ol>\n\n\n\n

                          2013<\/h3>\n\n\n\n
                            \n
                          1. Genya Ishigami, Masatsugu Otsuki, Takashi Kubota, “Range-dependent Terrain Mapping and Multipath Planning using Cylindrical Coordinates for a Planetary Exploration Rover,” Journal of Field Robotics, Vol. 30 (4), pp. 536-551, July 2013<\/li>\n<\/ol>\n\n\n\n

                            International Conference<\/h2>\n\n\n\n

                            2025<\/h3>\n\n\n\n
                              \n
                            1. T. Fuke and G. Ishigami, “Towards Local Minima-free Robotic Navigation: Model Predictive Path Integral Control via Repulsive Potential Augmentation,”\u00a02025 IEEE\/SICE International Symposium on System Integration (SII), Munich, Germany, 2025, https:\/\/ieeexplore.ieee.org\/abstract\/document\/10871026<\/a><\/li>\n<\/ol>\n\n\n\n

                              2024<\/h3>\n\n\n\n
                                \n
                              1. Omura, Takuya, and Genya Ishigami. “Granular Scaling Laws for Accurate Prediction of Wheel Mobility on Slopes in Low-Gravity Environments.” 21st International and 12th Asia-Pacific Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2024), Yokohama, Japan, October 2024. https:\/\/easychair.org\/publications\/preprint\/kJRL<\/a><\/li>\n\n\n\n
                              2. Fuke, Takahiro, Sora Ishikawa, and Genya Ishigami. “Accurate Rover Mobility Analysis Using HILS-DRFT with Real-Time Parameter Tuning Approach.” 21st International and 12th Asia-Pacific Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2024), Yokohama, Japan, October 2024. https:\/\/easychair.org\/publications\/preprint\/vvTF\/download<\/a><\/li>\n\n\n\n
                              3. Nakano, Tomoyasu, Takuya Omura, and Genya Ishigami. “DEM-Based Analysis and Optimization of an Excavation Bucket Drum for In-Situ Resource Utilization.” 21st International and 12th Asia-Pacific Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2024), Yokohama, Japan, October 2024. https:\/\/easychair.org\/publications\/preprint\/QKT7S\/open<\/a><\/li>\n\n\n\n
                              4. A. G. Bolinches and G. Ishigami, “Acoustic Odometry for Wheeled Robots on Loose Sandy Terrain,” 2024 13th International Workshop on Robot Motion and Control (RoMoCo), Pozna\u0144, Poland, 2024, pp. 255-260, doi: 10.1109\/RoMoCo60539.2024.10604336<\/a>.<\/li>\n\n\n\n
                              5. R. Takemura and G. Ishigami, “Perception-and-Energy-aware Motion Planning for UAV using Learning-based Model under Heteroscedastic Uncertainty,” 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 10103-10109, doi: 10.1109\/ICRA57147.2024.10610390.<\/a><\/li>\n<\/ol>\n\n\n\n

                                2023<\/h3>\n\n\n\n
                                  \n
                                1. N. Aoki and G. Ishigami, “Hardware-in-the-loop Simulation for Real-time Autonomous Tracking and Landing of an Unmanned Aerial Vehicle,” 2023 IEEE\/SICE International Symposium on System Integration (SII)<\/em>, Atlanta, GA, USA, 2023, pp. 1-6, https:\/\/ieeexplore.ieee.org\/abstract\/document\/10039438<\/a><\/li>\n\n\n\n
                                2. M. Endo, T. Taniai, R. Yonetani, and G. Ishigami \u201cRisk-aware path planning via probabilistic fusion of traversability prediction for planetary rovers on heterogeneous terrains,\u201d IEEE International Conference on Robotics and Automation, 2023, https:\/\/arxiv.org\/abs\/2303.01169<\/a><\/li>\n\n\n\n
                                3. R. Shimada and G. Ishigami, “Path Planning with Cable-obstacles Avoidance for a Tethered Mobile Robot in Unstructured Environments,” the 34th International Symposium on Space Technology and Science (ISTS 2023).<\/li>\n\n\n\n
                                4. S. Shimizu, T. Abe, T. G. Sano, and G. Ishigami “Experimental analysis on Jumping Mechanism using Snap-through Buckling of an Elastic Strip”, IUTAM Symposium on Nonlinear dynamics for design of mechanical systems across different length\/time scales(IUTAM Symposium 2023)<\/li>\n<\/ol>\n\n\n\n

                                  2022<\/h3>\n\n\n\n
                                    \n
                                  1. M. Endo and G. Ishigami, Active Traversability Learning via Risk-aware Information Gathering for Planetary Exploration Rovers, Proceedings of  2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)<\/li>\n\n\n\n
                                  2. Reiya Takemura and Genya Ishigami, \u201cPerception-aware Receding Horizon Path Planning for UAVs with LiDAR-based SLAM,\u201d Proc. of the 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), https:\/\/ieeexplore.ieee.org\/abstract\/document\/9913848<\/a><\/li>\n\n\n\n
                                  3. Yuzuki Morita, Genya Ishigami, “Development and Demonstration of Robotic Investigation Tool for Terrain Mechanical Property,” 11th Asia-Pacific Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2022), Harbin, China, September 2022<\/li>\n\n\n\n
                                  4. Naohiro Sato, Genya Ishigami, “Experimental Analysis and Numerical Modeling of Bulldozing Force with Varied Soil Moisture Content,” 11th Asia-Pacific Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2022), Harbin, China, September 2022<\/li>\n<\/ol>\n\n\n\n

                                    2021<\/h3>\n\n\n\n
                                      \n
                                    1. Ayanori Yorozu, Genya Ishigami, Masaki Takahashi Human-following Control in Furrow for Agricultural Support Robot Proceedings of the 16th International Conference on Intelligent Autonomous Systems, June, 2021<\/li>\n\n\n\n
                                    2. Naho Yashiro, Genya Ishigami Simulation Analysis on Steering Characteristics for Vehicle Design of Manned Pressurized Lunar Rover Proceedings of 20th ISTVS International and 9th Americas Regional Conference, Sep. 2021.<\/li>\n\n\n\n
                                    3. Tomoki Shomura, Satoshi Ishibasi, Genya Ishigami Experimental Measurement of Soil-track Contact Stress in Steering Motion on Loose Sand Proceedings of 20th ISTVS International and 9th Americas Regional Conference, Sep. 2021.<\/li>\n\n\n\n
                                    4. Sora Ishikawa, Genya Ishigami Towards High-fidelity Analysis on Wheeled Mobile Robot on Soft Terrain using Hardware-in-the-loop Simulator Proceedings of 20th ISTVS International and 9th Americas Regional Conference, Sep. 2021.<\/li>\n\n\n\n
                                    5. Yudai Tanabe, Genya Ishigami Towards Modified Dynamic Resistive Force Theory for A Fast-rotating Wheel on Loose Sand Proceedings of 20th ISTVS International and 9th Americas Regional Conference, Sep. 2021.<\/li>\n\n\n\n
                                    6. Reiya Takemura and Genya Ishigami, “Traversability-based Trajectory Planning with Quasi-Dynamic Vehicle Model in Loose Soil,” Proc. of the 2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS2021)<\/li>\n<\/ol>\n\n\n\n

                                      2020<\/h3>\n\n\n\n
                                        \n
                                      1. Genya Ishigami, “Towards an Accurate Analysis of Landing and Roving Technologies for Planetary Exploration,” Invited Talk at Workshop on Planetary exploration robots: Challenges and opportunities, in 2020 IEEE\/RSJ International Conference on Robots and Systems (IROS2020).<\/li>\n<\/ol>\n\n\n\n

                                        2019<\/h3>\n\n\n\n
                                          \n
                                        1. Kenji Tsuchiya and Genya Ishigami, “Resistive Force Estimation for Bucket Excavation Using Machine Learning,” 15th Europian-African Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2019), Prague, Czech Republic, September 2019<\/li>\n\n\n\n
                                        2. Yuki Saku and Genya Ishigami, “Slip Estimation Using Machine Learning of Wheel Trace Patterns for Mobile Robot on Loose Soil,” 15th Europian-African Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2019), Prague, Czech Republic, September 2019<\/li>\n\n\n\n
                                        3. Reina Nakanishi and Genya Ishigami, “Routing Method for Wide-Range Exploration of Multiple Rovers in Rough Terrain, ” 32nd International Symposium on Space Technology and Science (ISTS2019), Fukui, Japan, June 2019<\/li>\n\n\n\n
                                        4. Kotaro Hirota and Genya Ishigami, “Dynamic Simulation of Sky Crane Landing System for Mars Exploration Rover” 32nd International Symposium on Space Technology and Science (ISTS2019), Fukui, Japan, June 2019<\/li>\n\n\n\n
                                        5. Yuuko Ono, Genya Ishigami, “Routing Problem of Multiple Mobile Robots with Human Workers for Pickup and Dispatch Tasks in Warehouse,” 2019 IEEE\/SICE International Symposium on System Integration (SII 2019), Paris, France, January 2019<\/li>\n<\/ol>\n\n\n\n

                                          2018<\/h3>\n\n\n\n
                                            \n
                                          1. Satoshi Ishibashi, Genya Ishigami, “Development of In-track Sensor System for Three Dementional Mesurment of Pressure Distribution on Loose Soil,” 10th Asia-Pasific Conference of the International Society of Terrain Vehicle Systems (ISTVS 2018), Kyoto, Japan, July 2018<\/li>\n\n\n\n
                                          2. Kenji Tsuchiya, Genya Ishigami, “Experimantal Analysis of Bucket-Soil Interaction Mechanics Using Sensor-Embedded Bucket Test Apparatus,” 10th Asia-Pasific Conference of the International Society of Terrain Vehicle Systems (ISTVS 2018), Kyoto, Japan, July 2018<\/li>\n\n\n\n
                                          3. Ryota Matsumura, Genya Ishigami, “Experimental Analysis of Camber Angle Effect on Slope Traversability of Wheeled Mobile Robot” 10th Asia-Pasific Conference of the International Society of Terrain Vehicle Systems (ISTVS2018), Kyoto, Japan, July 2018<\/li>\n\n\n\n
                                          4. Haruhi Katsumata, Genya Ishigami, “Simulation Study on Landing Behavior of Spacecraft in Microgravity Environment based on Multibody Dynamics Model,” The International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2018), Madrid, Spain, June 2018<\/li>\n\n\n\n
                                          5. Daiki Yamaguchi, Genya Ishigami, “Experimental Analysis on Landing Dynamics of Martian Moon Spacecraft based on Similarity Law,” The International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2018), Madrid, Spain, June 2018<\/li>\n\n\n\n
                                          6. Reina Nakanishi, Genya Ishigami, “Strategic Deployment and Rerouting Methods for Wide-range Surface Exploration using Multiple Rovers,” The International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2018), Madrid, Spain, June 2018<\/li>\n<\/ol>\n\n\n\n

                                            2017<\/h3>\n\n\n\n
                                              \n
                                            1. Ryota Yoneyama, Takuya Omura, Genya Ishigami, “Modeling of Bucket-soil Interaction Mechanics Based on Improved Resistive Force Theory,” 19th International & 14th European-African Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2017), Budapest, Hungary, September 2017<\/li>\n\n\n\n
                                            2. Takuya Omura, Genya Ishigami, “Slip Estimation and Classification Using In-wheel Sensor for Mobile Robot in Sandy Terrain,” 19th International & 14th European-African Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2017), Budapest, Hungary, September 2017<\/li>\n<\/ol>\n\n\n\n

                                              2016<\/h3>\n\n\n\n
                                                \n
                                              1. Go Sakayori, Genya Ishigami, “Power Consumption Model for Slope Traversal of Wheeled Robot Based on Dynamic Simulation,” 8th Americas Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2016), Detroit,United States of America, September 2016<\/li>\n\n\n\n
                                              2. Takuya Omura, Genya Ishigami, “Experimental Investigation of Stuck Wheel Characteristics in Loose Sand,” 8th Americas Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2016), Detroit, United States of America, September 2016<\/li>\n\n\n\n
                                              3. Hiroki Tsubaki, Genya Ishigami, “Modeling of Wheel-Soil Interaction Mechanisms Based on Accurate Measurment of Pressure Distribution for Lightweight Vehicle,” 8th Americas Regional Conference of the International Society of Terrain Vehicle Systems (ISTVS 2016), Detroit, United States of America, September 2016<\/li>\n\n\n\n
                                              4. Koki Tanaka, Genya Ishigami, “Modeling of LiDAR Measurement Uncertainty for Rover Path Planning,” The International Symposium on Artificial Intelligence, Robotics and Automation in Space(I-SAIRAS 2016), Beijing, P.R.China, June 2016<\/li>\n\n\n\n
                                              5. Takuma Nagata, Genya Ishigami, “Experimental Evaluation of Gyro-based Odometry Focusing on Steering Characteristics of Wheeled Mobile Robot in Rough Terrain,” The International Symposium on Artificial Intelligence, Robotics and Automation in Space(I-SAIRAS 2016), Beijing, P.R.China, June 2016<\/li>\n\n\n\n
                                              6. Go Sakayori, Genya Ishigami, “Power-Synchronized Path Planning for Mobile Robot in Rough Terrain,” The International Symposium on Artificial Intelligence, Robotics and Automation in Space(I-SAIRAS 2016), Beijing, P.R.China, June 2016<\/li>\n\n\n\n
                                              7. Takahiro Akutsu, Genya Ishigami, “Experimental Evaluation of Voltage Control Methods in Electrical Power System for a Planetary Rover,” The International Symposium on Artificial Intelligence, Robotics and Automation in Space(I-SAIRAS 2016), Beijing, P.R.China, June 2016<\/li>\n<\/ol>\n\n\n\n

                                                2015<\/h3>\n\n\n\n
                                                  \n
                                                1. Saki Morita, Daiki Mori, Genya Ishigami, “Design and Development of Built-in-Clutch Joint Single-Drive and Multi-Degrees of Freedom Manipulator,” The 2015 JSME\/RMD International Conference on Advanced Mechatronics (ICAM2015), Tokyo, Japan, December 2015<\/li>\n\n\n\n
                                                2. Hiroki Tsubaki, Takayuki Shirai, Genya Ishigami, “Accurate Measurement of Multidirectional Interaction Mechanisms between Wheel Stress and Soil Deformation using In-wheel Sensor and PIV Techniques,” 13th European Conference of the International Society of Terrain Vehicle Systems (ISTVS 2015), Rome, Italy, October 2015<\/li>\n\n\n\n
                                                3. Takayuki Shirai, Hiroki Tsubaki, Genya Ishigami, “Towards Terrain Classification Method Based On Force-Sinkage Characteristics Measured With In-Wheel Sensor System,” 13th European Conference of the International Society of Terrain Vehicle Systems (ISTVS 2015), Rome, Italy, October 2015<\/li>\n\n\n\n
                                                4. Daiki Mori, Genya Ishigami, “Generalized Force-and-Energy Manipulability for Design and Control of Redundant Robotic Arm,” 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany, September 2015<\/li>\n<\/ol>\n\n\n\n

                                                  2014<\/h3>\n\n\n\n
                                                    \n
                                                  1. Kentaro Kimura, Genya Ishigami, “Light-Independent Feature Detection using Intensity data of Laser Range Finder,” 12th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2014), Montreal, Canada, June 2014<\/li>\n\n\n\n
                                                  2. Takayuki Shirai, Genya Ishigami, “Accurate Estimation of Wheel Pressure-Sinkage Traits on Sandy Terrain using In-wheel Sensor System,” 12th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2014), Montreal, Canada, June 2014<\/li>\n\n\n\n
                                                  3. Daiki Mori, Genya Ishigami, “Soil Interaction Model of Hemispherical Sampling Device based on PIV Analysis,” 12th International Symposium on Artificial Intelligence Robotics and Automation (i-SAIRAS 2014), Montreal, Canada, June 2014<\/li>\n<\/ol>\n\n\n\n

                                                    Domestic Conference<\/h2>\n\n\n\n

                                                    2022<\/h3>\n\n\n\n
                                                      \n
                                                    1. \u65e9\u7530 \u572d\u4e4b\u4ecb, \u677e\u4e45 \u76f4\u53f8, \u77f3\u4e0a \u7384\u4e5f, \u9ad8\u6a4b \u82f1\u4fca, \u53e4\u6ca2 \u5178\u5927, \u5c0f\u5ddd \u7d14, IPMC\u3068\u30b7\u30ea\u30b3\u30fc\u30f3\u30b4\u30e0\u3092\u7528\u3044\u305f\u30d2\u30e9\u30e0\u30b7\u578b\u6c34\u4e2d\u30bd\u30d5\u30c8\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a, \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6, pp. 2A1-G07, 2022, https:\/\/doi.org\/10.1299\/jsmermd.2022.2A1-G07<\/a><\/li>\n\n\n\n
                                                    2. \u6749\u6d66 \u4f73\u7433, \u77f3\u4e0a \u7384\u4e5f, \u6708\u9762\u7740\u9678\u62e0\u70b9\u69cb\u7bc9\u306b\u5411\u3051\u305f\u5c0f\u578b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u6392\u571f\u4f5c\u696d\u6307\u91dd\u306e\u63d0\u6848\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u691c\u8a3c, \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6, pp. 1A1-K06, 2022, https:\/\/doi.org\/10.1299\/jsmermd.2022.1A1-K06<\/a><\/li>\n\n\n\n
                                                    3. \u9752\u6728 \u4f38\u6643, \u77f3\u4e0a \u7384\u4e5f, \u6642\u7a7a\u9593\u5909\u5316\u3059\u308b\u98a8\u901f\u30e2\u30c7\u30eb\u3092\u8003\u616e\u3057\u305fUAV\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u6d88\u8cbb\u306b\u57fa\u3065\u304f\u7d4c\u8def\u8a08\u753b\u624b\u6cd5, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, 2022, Vol. 40, Issue3, p.p 255-258, https:\/\/doi.org\/10.7210\/jrsj.40.255<\/a><\/li>\n\n\n\n
                                                    4. \u65e9\u7530 \u572d\u4e4b\u4ecb, \u77f3\u4e0a \u7384\u4e5f, \u677e\u4e45 \u76f4\u53f8, \u9ad8\u6a4b \u82f1\u4fca, \u6d45\u4e95 \u8aa0, \u7121\u810a\u690e\u751f\u7269\u30d2\u30e9\u30e0\u30b7\u306e\u8eab\u4f53\u7684\u7279\u5fb4\u3092\u6a21\u5023\u3057\u305f\u6241\u5e73\u3067\u9ad8\u3044\u67d4\u8edf\u6027\u3092\u6301\u3064\u6c34\u4e2d\u30bd\u30d5\u30c8\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a, Conference on 4D and Functional Fabrication 2022 (4DFF2022), pp. 105-108, https:\/\/sig4dff.org\/conference\/2022\/proceeding\/OP16.pdf<\/a><\/li>\n\n\n\n
                                                    5. \u4f50\u3005\u6728\u512a\u6597\uff0c\u77f3\u4e0a\u7384\u4e5f, \u5c0f\u578b\u30ed\u30dc\u30c3\u30c8\u642d\u8f09\u8ee2\u5727\u30ed\u30fc\u30e9\u306e\u3051\u3093\u5f15\u8ca0\u8377\u6291\u5236, \u7b2c40\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a, 4A2-03 2022, 9, \u6771\u4eac\u5927\u5b66<\/li>\n\n\n\n
                                                    6. \u65b0\u4e95\u5eb7\u5e73\uff0c\u77f3\u4e0a\u7384\u4e5f \u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u6708\u9762\u571f\u8cea\u8a08\u6e2c\u3092\u76ee\u7684\u3068\u3057\u305f\u8abf\u67fb\u7d4c\u8def\u751f\u6210\u624b\u6cd5\u306e\u63d0\u6848, \u7b2c40\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a 4A2-04, 2022, 9, \u6771\u4eac\u5927\u5b66<\/li>\n\n\n\n
                                                    7. \u77f3\u4e0a\u7384\u4e5f\uff0c\u68ee\u7530\u512a\u6708\uff0c\u6749\u6d66\u4f73\u7433\uff0c\u4f50\u3005\u6728\u512a\u6597\uff0c\u5c71\u53e3\u5b87\u5f18\uff0c\u5927\u5ddd\u4f73\u592a\uff0c\u65b0\u4e95\u5eb7\u5e73\uff0c\u6c38\u5ca1\u5065\u53f8\uff0c\u4e0a\u91ce\u5b97\u5b5d\uff0c\u6c38\u8c37\u572d\u53f8, \u5c0f\u578b\u30ed\u30dc\u30c3\u30c8\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306b\u3088\u308b\u6708\u9762\u7740\u9678\u62e0\u70b9\u69cb\u7bc9\u306b\u5411\u3051\u305f\u7814\u7a76\u958b\u767a, \u7b2c40\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a, 4A2-05, 2022, 9, \u6771\u4eac\u5927\u5b66<\/li>\n<\/ol>\n\n\n\n

                                                      2021<\/h3>\n\n\n\n
                                                        \n
                                                      1. \u77f3\u5ddd\u7a7a\uff0c\u77f3\u4e0a\u7384\u4e5f Hardware-in-the-loop Simulator\u3092\u7528\u3044\u305f\u8eca\u8f2a\u578b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u4e0d\u6574\u5730\u8d70\u884c\u89e3\u6790\u3068\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0 \u7b2c39\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a 1D1-05 2021 9<\/li>\n\n\n\n
                                                      2. \u9752\u6728\u4f38\u6643\uff0c\u77f3\u4e0a\u7384\u4e5f \u6642\u7a7a\u9593\u5909\u5316\u3059\u308b\u98a8\u901f\u30e2\u30c7\u30eb\u3092\u8003\u616e\u3057\u305fUAV\u306e\u30a8\u30cd\u30eb\u30ae\u30fc\u6d88\u8cbb\u306b\u57fa\u3065\u304f\u7d4c\u8def\u8a08\u753b\u624b\u6cd5 \u7b2c39\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a 1B3-02 2021 9<\/li>\n\n\n\n
                                                      3. \u77f3\u4e0a\u7384\u4e5f\uff0c\u5bae\u5185\u8cb4\u5927\uff0c\u89d2\u6709\u53f8\uff0c\u6625\u5c71\u7d14\u4e00 \u7e26\u5b54\u63a2\u67fb\u306b\u5411\u3051\u305f\u5c0f\u578b\u79fb\u52d5\u30d7\u30ed\u30fc\u30d6\u306e\u30b7\u30b9\u30c6\u30e0\u691c\u8a0e \u7b2c65\u56de\u5b87\u5b99\u79d1\u5b66\u6280\u8853\u9023\u5408\u8b1b\u6f14\u4f1a 3K15 2021<\/li>\n\n\n\n
                                                      4. \u5bae\u5185\u8cb4\u5927\uff0c\u77f3\u4e0a\u7384\u4e5f \u8907\u6570\u5c0f\u578b\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u6708\u7e26\u5b54\u5f62\u72b6\u306e\u4e09\u6b21\u5143\u518d\u69cb\u6210 \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a \u7b2c17\u56de\u904b\u52d5\u3068\u632f\u52d5\u306e\u5236\u5fa1\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 A05 2021<\/li>\n\n\n\n
                                                      5. \u77f3\u4e0a\u7384\u4e5f\uff0c\u6c38\u5ca1\u5065\u53f8\uff0c\u4e0a\u91ce\u5b97\u5b5d\uff0c\u6c38\u8c37\u572d\u53f8 \u5354\u50cdAI\u30ed\u30dc\u30c3\u30c8\u3092\u7528\u3044\u305f\u6708\u9762\u7740\u9678\u62e0\u70b9\u304a\u3088\u3073\u30a4\u30f3\u30d5\u30e9\u69cb\u7bc9\u30b7\u30ca\u30ea\u30aa \u7b2c22\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a (SI2021) 2021<\/li>\n<\/ol>\n\n\n\n

                                                        2020<\/h3>\n\n\n\n
                                                          \n
                                                        1. \u521d\u6751\u670b\u7d00, \u77f3\u4e0a\u7384\u4e5f, “\u7802\u5730\u306b\u304a\u3051\u308b\u30af\u30ed\u30fc\u30e9\u65cb\u56de\u52d5\u4f5c\u6642\u306e\u63a5\u89e6\u5fdc\u529b\u5206\u5e03\u306e\u5b9f\u9a13\u7684\u8a08\u6e2c,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f142020 (ROBOMECH2020), \u77f3\u5ddd, 2020\u5e745\u6708<\/li>\n\n\n\n
                                                        2. \u7530\u5cf6\u51cc, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u7d4c\u8def\u9038\u8131\u3092\u8003\u616e\u3057\u305f\u7d4c\u8def\u8a08\u753b\u624b\u6cd5\u306e\u69cb\u7bc9,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f142020 (ROBOMECH2020), \u77f3\u5ddd, 2020\u5e745\u6708<\/li>\n\n\n\n
                                                        3. \u91ce\u57ce\u83dc\u5e06, \u77f3\u4e0a\u7384\u4e5f, “\u6708\u9762\u6709\u4eba\u4e0e\u5727\u30ed\u30fc\u30d0\u306e\u65cb\u56de\u7279\u6027\u89e3\u6790\u306b\u57fa\u3065\u3044\u305f\u64cd\u7e26\u5b89\u5b9a\u6027\u5411\u4e0a\u306e\u305f\u3081\u306e\u8eca\u4e21\u8a2d\u8a08\u6307\u91dd\u306e\u63d0\u6848,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f142020 (ROBOMECH2020), \u77f3\u5ddd, 2020\u5e745\u6708<\/li>\n\n\n\n
                                                        4. \u4f5c\u7950\u8f1d, \u9022\u6fa4\u6b63\u61b2, \u5927\u4e95\u5065, \u77f3\u4e0a\u7384\u4e5f, “\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u6398\u524a\u524d\u5f8c\u306e\u571f\u7802\u5909\u5f62\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9,” \u7b2c38\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a, 1F1-05, 2020\u5e7410\u67089\u65e5<\/li>\n\n\n\n
                                                        5. \u5f8c\u85e4\u5df4\u54c9, \u77f3\u4e0a\u7384\u4e5f, “RGB-IR\u753b\u50cf\u3092\u7528\u3044\u305fCNN\u306b\u3088\u308b\u571f\u58cc\u304a\u3088\u3073\u542b\u6709\u6c34\u5206\u91cf\u5206\u985e\u306e\u5b9f\u9a13\u7684\u691c\u8a3c,” \u7b2c38\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a, 2D2-05, 2020\u5e7410\u670810\u65e5<\/li>\n\n\n\n
                                                        6. \u77f3\u4e0a\u7384\u4e5f, \u5bae\u5185\u8cb4\u5927, \u698e\u7530\u76f4\u7d18, “\u5c0f\u578b\u63a2\u67fb\u30d7\u30ed\u30fc\u30d6\u306b\u3088\u308b\u7e26\u5b54\u5074\u58c1\u306e\u4e09\u6b21\u5143\u89b3\u6e2c\u30b7\u30ca\u30ea\u30aa\u306e\u691c\u8a0e,” \u7b2c64\u56de\u5b87\u5b99\u79d1\u5b66\u6280\u8853\u9023\u5408\u8b1b\u6f14\u4f1a, 3E14, 2020\u5e7410\u670829\u65e5<\/li>\n<\/ol>\n\n\n\n

                                                          2019<\/h3>\n\n\n\n
                                                            \n
                                                          1. \u52dd\u53c8\u6674\u65e5, \u77f3\u4e0a\u7384\u4e5f, “\u6708\u91cd\u529b\u74b0\u5883\u306b\u304a\u3051\u308b\u30c6\u30f3\u30bb\u30b0\u30ea\u30c6\u30a3\u30ed\u30dc\u30c3\u30c8\u306e\u7740\u9678\u6319\u52d5\u306b\u95a2\u3059\u308b\u52d5\u529b\u5b66\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u89e3\u6790,” \u7b2c37\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2019), \u65e9\u7a32\u7530\u5927\u5b66, 2019\u5e749\u6708<\/li>\n\n\n\n
                                                          2. \u5c0f\u5d8b\u6d0b\u81f3, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u8eca\u8f2a\u63a5\u5730\u9762\u5f62\u72b6\u306b\u7740\u76ee\u3057\u305f\u8d70\u884c\u6027\u80fd\u89e3\u6790,” \u7b2c37\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2019), \u65e9\u7a32\u7530\u5927\u5b66, 2019\u5e749\u6708<\/li>\n\n\n\n
                                                          3. \u53f6\u63da, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u8d70\u884c\u8eca\u8f2a\u306e\u7dda\u5f62\u63a5\u89e6\u529b\u5b66\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u3044\u305f\u571f\u58cc\u72b6\u614b\u63a8\u5b9a\u624b\u6cd5\u306e\u69cb\u7bc9,” \u7b2c37\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2019), \u65e9\u7a32\u7530\u5927\u5b66, 2019\u5e749\u6708<\/li>\n<\/ol>\n\n\n\n

                                                            2018<\/h3>\n\n\n\n
                                                              \n
                                                            1. \u571f\u5c4b\u5065\u53f8, \u77f3\u6a4b\u601c\u4e4b, \u5927\u6751\u62d3\u4e5f, \u77f3\u4e0a\u7384\u4e5f, “\u6a5f\u68b0\u3068\u571f\u58cc\u306e\u76f8\u4e92\u529b\u5b66\u306b\u7740\u76ee\u3057\u305f\u5efa\u8a2d\u30ed\u30dc\u30c3\u30c8\u306e\u9ad8\u7cbe\u5ea6\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3(\u6398\u524a\u529b\u5b66\u30fb\u30af\u30ed\u30fc\u30e9\u30e2\u30c7\u30eb\u306e\u8a73\u7d30\u8a55\u4fa1\u3068\u52d5\u529b\u5b66\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u3078\u306e\u5c0e\u5165),” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2018 (ROBOMECH2018), \u798f\u5ca1, 2018\u5e746\u6708<\/li>\n\n\n\n
                                                            2. \u52dd\u53c8\u6674\u65e5, \u5c71\u53e3\u5927\u8f1d, \u65e5\u9ad9\u771f\u592a\u6717, \u77f3\u4e0a\u7384\u4e5f, “\u5fae\u5c0f\u91cd\u529b\u885b\u661f\u63a2\u67fb\u6a5f\u306e\u52d5\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u7740\u9678\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u89e3\u6790,” \u7b2c18\u56de \u5b87\u5b99\u79d1\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, JAXA\u5b87\u5b99\u79d1\u5b66\u7814\u7a76\u6240, 2018\u5e741\u6708<\/li>\n<\/ol>\n\n\n\n

                                                              2017<\/h3>\n\n\n\n
                                                                \n
                                                              1. \u5bae\u5c71\u5c1a\u4e5f, \u77f3\u4e0a\u7384\u4e5f, “\u30e9\u30b0\u4ed8\u304d\u8eca\u8f2a\u3092\u6709\u3059\u308b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u30a8\u30cd\u30eb\u30ae\u6d88\u8cbb\u306b\u57fa\u3065\u3044\u305f\u659c\u9762\u767b\u5742\u6027\u80fd\u89e3\u6790,” \u7b2c35\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2017), \u6771\u6d0b\u5927\u5b66, 2017\u5e749\u6708<\/li>\n\n\n\n
                                                              2. \u5c0f\u91ce\u512a\u5b50, \u77f3\u4e0a\u7384\u4e5f, “\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u642d\u8f09\u6a5f\u5668\u306e\u9664\u5875\u3092\u76ee\u7684\u3068\u3057\u305f\u632f\u52d5\u767a\u96fb\u30c7\u30d0\u30a4\u30b9\u306e\u5b9f\u8a3c\u5b9f\u9a13,” \u7b2c15\u56de\u300c\u904b\u52d5\u3068\u632f\u52d5\u306e\u5236\u5fa1\u300d\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MoViC2017), \u611b\u77e5\u5927\u5b66, 2017\u5e748\u6708<\/li>\n\n\n\n
                                                              3. \u5c71\u53e3\u5927\u8f1d, \u77f3\u4e0a\u7384\u4e5f, “\u76f8\u4f3c\u5247\u306b\u57fa\u3065\u3044\u305f\u706b\u661f\u885b\u661f\u63a2\u67fb\u6a5f\u306e\u7740\u9678\u6319\u52d5\u306b\u304a\u3051\u308b\u6a21\u578b\u5b9f\u9a13,” \u7b2c15\u56de\u300c\u904b\u52d5\u3068\u632f\u52d5\u306e\u5236\u5fa1\u300d\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MoViC2017), \u611b\u77e5\u5927\u5b66, 2017\u5e748\u6708<\/li>\n\n\n\n
                                                              4. \u5800\u53e4\u7fd4\u592a, \u77f3\u4e0a\u7384\u4e5f, “3\u8ef8\u5fdc\u529b\u30bb\u30f3\u30b5\u5185\u8535\u578b\u8eca\u8f2a\u3092\u7528\u3044\u305f\u8eca\u8f2a\u63a5\u89e6\u529b\u5b66\u5206\u5e03\u30e2\u30c7\u30eb\u306e\u5b9f\u9a13\u7684\u691c\u8a3c,” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2017 (ROBOMECH2017), \u798f\u5cf6, 2017\u5e745\u6708<\/li>\n\n\n\n
                                                              5. \u7c73\u5c71\u9f8d\u592a, \u77f3\u4e0a\u7384\u4e5f, “\u6a5f\u68b0\u3068\u571f\u58cc\u306e\u76f8\u4e92\u529b\u5b66\u306b\u6ce8\u76ee\u3057\u305f\u5efa\u8a2d\u30ed\u30dc\u30c3\u30c8\u306e\u9ad8\u7cbe\u5ea6\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3 -\u30de\u30af\u30ed\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u57fa\u3065\u3044\u305f\u6398\u524a\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u5b9f\u9a13\u7684\u8a55\u4fa1-,” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2017 (ROBOMECH2017), \u798f\u5cf6, 2017\u5e745\u6708<\/li>\n\n\n\n
                                                              6. \u6c38\u7530\u62d3\u78e8, \u67f3\u6fa4\u65b0, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u3092\u8d70\u884c\u3059\u308b\u8eca\u8f2a\u578b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u30b3\u30fc\u30ca\u30ea\u30f3\u30b0\u30d5\u30a9\u30fc\u30b9\u306b\u7740\u76ee\u3057\u305f\u30aa\u30c9\u30e1\u30c8\u30ea\u624b\u6cd5\u306e\u5b9f\u9a13\u7684\u8a55\u4fa1,” \u7b2c22\u56de\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30b7\u30f3\u30dd\u30b8\u30a2, \u5b89\u4e2d, 2017\u5e743\u6708<\/li>\n\n\n\n
                                                              7. \u9152\u4e95\u88d5\u5e0c, \u77f3\u4e0a\u7384\u4e5f, “\u706b\u661f\u751f\u547d\u63a2\u67fb\u3092\u76ee\u7684\u3068\u3057\u305f\u571f\u58cc\u30b3\u30a2\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u306e\u958b\u767a,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c56\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u7406\u79d1\u5927\u5b66, 2017\u5e743\u6708<\/li>\n\n\n\n
                                                              8. \u7af9\u6751\u73b2\u54c9, \u9152\u5bc4\u525b, \u77f3\u4e0a\u7384\u4e5f, “\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u8d70\u7834\u6027\u3092\u8003\u616e\u3057\u305f\uff32\uff32\uff34\u306b\u3088\u308b\u7d4c\u8def\u8a08\u753b\u624b\u6cd5,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c56\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u7406\u79d1\u5927\u5b66, 2017\u5e743\u6708<\/li>\n\n\n\n
                                                              9. \u5bae\u5c71\u5c1a\u4e5f, \u77f3\u4e0a\u7384\u4e5f, “\u659c\u9762\u767b\u5742\u6642\u306b\u304a\u3051\u308b\u30a8\u30cd\u30eb\u30ae\u6d88\u8cbb\u306b\u57fa\u3065\u3044\u305f\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u8eca\u8f2a\u30e9\u30b0\u5f62\u72b6\u306e\u691c\u8a0e,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c56\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u7406\u79d1\u5927\u5b66, 2017\u5e743\u6708<\/li>\n\n\n\n
                                                              10. \u5c71\u53e3\u5927\u8f1d, \u77f3\u4e0a\u7384\u4e5f, “\u76f8\u4f3c\u5247\u306b\u57fa\u3065\u3044\u305f\u706b\u661f\u885b\u661f\u63a2\u67fb\u6a5f\u306e\u7740\u9678\u89e3\u6790\u624b\u6cd5\u306e\u69cb\u7bc9,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c56\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u7406\u79d1\u5927\u5b66, 2017\u5e743\u6708<\/li>\n\n\n\n
                                                              11. \u9152\u4e95\u88d5\u5e0c, \u77f3\u4e0a\u7384\u4e5f, “\u706b\u661f\u751f\u547d\u63a2\u67fb\u3092\u76ee\u7684\u3068\u3057\u305f\u4f4e\u64b9\u4e71\u6027\u571f\u58cc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u306e\u958b\u767a,” \u7b2c17\u56de \u5b87\u5b99\u79d1\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, JAXA\u5b87\u5b99\u79d1\u5b66\u7814\u7a76\u6240, 2017\u5e741\u6708<\/li>\n<\/ol>\n\n\n\n

                                                                2016<\/h3>\n\n\n\n
                                                                  \n
                                                                1. \u65e5\u9ad8\u771f\u592a\u6717, \u77f3\u4e0a\u7384\u4e5f, “\u5fae\u5c0f\u91cd\u529b\u5929\u4f53\u306e\u8868\u9762\u79fb\u52d5\u63a2\u67fb\u3092\u76ee\u7684\u3068\u3057\u305f\u6b63\u4e8c\u5341\u9762\u4f53\u5f62\u72b6\u3092\u6709\u3059\u308b\u5c55\u958b\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a\u3068\u6319\u52d5\u89e3\u6790,” \u7b2c34\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2016), \u5c71\u5f62\u5927\u5b66, 2016\u5e749\u6708<\/li>\n\n\n\n
                                                                2. \u7af9\u6751\u73b2\u54c9, \u77f3\u4e0a\u7384\u4e5f, “\u5730\u5f62\u60c5\u5831\u3092\u8003\u616e\u3057\u305fRRT\u306b\u3088\u308b \u4e0d\u6574\u5730\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u7d4c\u8def\u8a08\u753b\u624b\u6cd5\u306e\u63d0\u6848,” \u7b2c34\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2016), \u5c71\u5f62\u5927\u5b66, 2016\u5e749\u6708<\/li>\n\n\n\n
                                                                3. \u68ee\u5927\u8f1d, \u693f\u6d0b\u8f1d, \u5927\u6751\u62d3\u4e5f, \u5c3e\u5d0e\u4f38\u543e, \u77f3\u4e0a\u7384\u4e5f, “\u6a5f\u68b0\u30fb\u571f\u58cc\u306e\u76f8\u4e92\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3092\u76ee\u7684\u3068\u3057\u305f\u30d0\u30b1\u30c3\u30c8\u6398\u524a\u5b9f\u9a13\u88c5\u7f6e\u306e\u958b\u767a\u3068\u6570\u5024\u89e3\u6790,” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2016 (ROBOMECH2016), \u6a2a\u6d5c, 2016\u5e746\u6708<\/li>\n\n\n\n
                                                                4. \u79cb\u9593\u7fd4\u592a\u90ce, \u77f3\u4e0a\u7384\u4e5f, “\u305f\u308f\u307f\u6027\u8eca\u8f2a\u306e\u958b\u767a\u3068\u8edf\u5f31\u5730\u76e4\u4e0a\u306b\u304a\u3051\u308b\u8d70\u884c\u7279\u6027\u89e3\u6790 -\u525b\u4f53\u8eca\u8f2a\u3068\u306e\u6bd4\u8f03-,” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2016 (ROBOMECH2016), \u6a2a\u6d5c, 2016\u5e746\u6708<\/li>\n\n\n\n
                                                                5. \u51fa\u53e3\u7fd4\u5927, \u77f3\u4e0a\u7384\u4e5f, “LRF \u306e\u8f1d\u5ea6\u753b\u50cf\u306b\u3088\u308b\u7279\u5fb4\u70b9\u62bd\u51fa\u3092\u7528\u3044\u305f\u4e09\u6b21\u5143\u5730\u56f3\u751f\u6210,” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2016 (ROBOMECH2016), \u6a2a\u6d5c, 2016\u5e746\u6708<\/li>\n\n\n\n
                                                                6. \u67f3\u6fa4\u65b0, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u642d\u8f09\u3092\u76ee\u7684\u3068\u3057\u305f2 \u6b21\u5143\u79fb\u52d5\u8ddd\u96e2\u30bb\u30f3\u30b5\u306e\u958b\u767a\u3068\u6027\u80fd\u8a55\u4fa1,” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2016 (ROBOMECH2016), \u6a2a\u6d5c, 2016\u5e746\u6708<\/li>\n\n\n\n
                                                                7. \u79cb\u9593\u7fd4\u592a\u90ce, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u3092\u8d70\u884c\u3059\u308b\u305f\u308f\u307f\u6027\u8eca\u8f2a\u306e\u958b\u767a\u3068\u8d70\u884c\u7279\u6027\u89e3\u6790,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c55\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u5de5\u696d\u5927\u5b66, 2016\u5e743\u6708<\/li>\n\n\n\n
                                                                8. \u5927\u6751\u62d3\u4e5f, \u77f3\u4e0a\u7384\u4e5f, “\u8edf\u5f31\u5730\u76e4\u8d70\u884c\u6642\u306b\u304a\u3051\u308b\u8eca\u8f2a\u30b9\u30bf\u30c3\u30af\u73fe\u8c61\u306e\u5b9f\u9a13\u7684\u89e3\u6790,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c55\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u5de5\u696d\u5927\u5b66, 2016\u5e743\u6708<\/li>\n\n\n\n
                                                                9. \u7530\u4e2d\u9d3b\u8f1d, \u77f3\u4e0a\u7384\u4e5f, “\u5730\u5f62\u60c5\u5831\u306e\u4e0d\u78ba\u5b9a\u6027\u3092\u8003\u616e\u3057\u305f\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u7d4c\u8def\u8a08\u753b,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c55\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u5de5\u696d\u5927\u5b66, 2016\u5e743\u6708<\/li>\n\n\n\n
                                                                10. \u51fa\u53e3\u7fd4\u5927, \u77f3\u4e0a\u7384\u4e5f, “LRF\u306b\u3088\u308b\u8f1d\u5ea6\u753b\u50cf\u3092\u7528\u3044\u305f\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306e\u9ad8\u901f\u4e09\u6b21\u5143\u5730\u56f3\u751f\u6210,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c55\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u5de5\u696d\u5927\u5b66, 2016\u5e743\u6708<\/li>\n\n\n\n
                                                                11. \u67f3\u6fa4\u65b0, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u642d\u8f09\u578b\u5e73\u9762\u79fb\u52d5\u8ddd\u96e2\u30bb\u30f3\u30b5\u306e\u958b\u767a\u3068\u5b9f\u8a3c\u5b9f\u9a13,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c55\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u5de5\u696d\u5927\u5b66, 2016\u5e743\u6708<\/li>\n<\/ol>\n\n\n\n

                                                                  2015<\/h3>\n\n\n\n
                                                                    \n
                                                                  1. \u6c38\u7530\u62d3\u78e8, \u51fa\u53e3\u7fd4\u5927, \u67f3\u6fa4\u65b0, \u6728\u6751\u5065\u592a\u90ce, \u77f3\u4e0a\u7384\u4e5f, “\u8eca\u8f2a\u578b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u30b9\u30c6\u30a2\u30ea\u30f3\u30b0\u7279\u6027\u306b\u6ce8\u76ee\u3057\u305f\u30b8\u30e3\u30a4\u30ed\u30c9\u30e1\u30c8\u30ea\u306e\u5b9f\u9a13\u7684\u8a55\u4fa1,” \u7b2c16\u56de\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30c6\u30b0\u30ec\u30fc\u30b7\u30e7\u30f3\u90e8\u9580\u8b1b\u6f14\u4f1a (SI2015), \u540d\u53e4\u5c4b, 2015\u5e7412\u6708<\/li>\n\n\n\n
                                                                  2. \u6c38\u7530\u62d3\u78e8, \u6728\u6751\u5065\u592a\u90ce, \u77f3\u4e0a\u7384\u4e5f, “\u8eca\u8f2a\u578b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u30b9\u30c6\u30a2\u30ea\u30f3\u30b0\u7279\u6027\u306b\u57fa\u3065\u3044\u305f\u30b8\u30e3\u30a4\u30ed\u30c9\u30e1\u30c8\u30ea\u306e\u9ad8\u7cbe\u5ea6\u5316,” \u7b2c33\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2015), \u6771\u4eac\u96fb\u6a5f\u5927\u5b66, 2015\u5e749\u6708<\/li>\n\n\n\n
                                                                  3. \u9152\u5bc4\u525b ,\u77f3\u4e0a\u7384\u4e5f, “\u592a\u967d\u96fb\u6c60\u30d1\u30cd\u30eb\u3092\u642d\u8f09\u3057\u305f\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u96fb\u529b\u53ce\u652f\u306b\u57fa\u3065\u304f\u7d4c\u8def\u8a08\u753b\u624b\u6cd5\u306e\u63d0\u6848,” \u7b2c33\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a (RSJ2015)\u3001\u6771\u4eac\u96fb\u6a5f\u5927\u5b66\u30012015\u5e749\u6708<\/li>\n\n\n\n
                                                                  4. \u963f\u4e45\u6d25 \u8cb4\u5e83\uff0c\u77f3\u4e0a \u7384\u4e5f, “\u7121\u4eba\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u96fb\u6e90\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u6700\u5927\u96fb\u529b\u8ffd\u5f93\u88c5\u7f6e\u306e\u958b\u767a\u3068\u8a55\u4fa1,” \u7b2c14\u56de\u300c\u904b\u52d5\u3068\u632f\u52d5\u306e\u5236\u5fa1\u300d\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MoViC14)\uff0c\u5b87\u90fd\u5bae, 2015\u5e746\u6708<\/li>\n\n\n\n
                                                                  5. \u6c38\u7530\u62d3\u78e8, \u6728\u6751\u5065\u592a\u90ce, \u77f3\u4e0a\u7384\u4e5f, “GPS\u3068\u30b8\u30e3\u30a4\u30ed\u30c9\u30e1\u30c8\u30ea\u306e\u30ab\u30c3\u30d7\u30ea\u30f3\u30b0\u51e6\u7406\u3092\u7528\u3044\u305f\u4e0d\u6574\u5730\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u81ea\u5df1\u4f4d\u7f6e\u63a8\u5b9a\u624b\u6cd5,” \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a2015 (ROBOMECH2015), \u4eac\u90fd, 2015\u5e745\u6708<\/li>\n\n\n\n
                                                                  6. \u963f\u4e45\u6d25\u8cb4\u5e83\uff0c\u77f3\u4e0a\u7384\u4e5f\uff0c”\u7121\u4eba\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u767a\u96fb\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u6700\u5927\u96fb\u529b\u8ffd\u5f93\u88c5\u7f6e\u306e\u958b\u767a\u3068\u8a55\u4fa1 ,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c54\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a\uff0c\u6a2a\u6d5c\u56fd\u7acb\u5927\u5b66, 2015\u5e743\u6708<\/li>\n\n\n\n
                                                                  7. \u693f\u6d0b\u8f1d\uff0c\u767d\u4e95\u5b5d\u5e78\uff0c\u77f3\u4e0a\u7384\u4e5f\uff0c”\u8eca\u8f2a\u30fb\u571f\u58cc\u9593\u306b\u304a\u3051\u308b\u5fdc\u529b\u7279\u6027\u306e\u5b9f\u9a13\u7684\u8a08\u6e2c\u306b\u57fa\u3065\u304f\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c54\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a\uff0c\u6a2a\u6d5c\u56fd\u7acb\u5927\u5b66, 2015\u5e743\u6708<\/li>\n\n\n\n
                                                                  8. \u9152\u5bc4\u525b, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306e\u96fb\u529b\u53ce\u652f\u3092\u8003\u616e\u3057\u305f\u7d4c\u8def\u8a08\u753b\u624b\u6cd5\u306e\u63d0\u6848,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c54\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a\u3001\u6a2a\u6d5c\u56fd\u7acb\u5927\u5b66\u30012015\u5e743\u6708<\/li>\n<\/ol>\n\n\n\n

                                                                    2014<\/h3>\n\n\n\n
                                                                      \n
                                                                    1. \u767d\u4e95\u5b5d\u5e78, \u693f\u6d0b\u8f1d, \u77f3\u4e0a\u7384\u4e5f, “\u4e0d\u6574\u5730\u8d70\u884c\u306b\u4f34\u3046\u7802\u7c92\u5b50\u306e\u529b\u5b66\u7684\u5f71\u97ff\u3092\u89e3\u6790\u3059\u308b\u8eca\u8f2a\u5b9f\u88c5\u578b\u30bb\u30f3\u30b5\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a,” \u7b2c20\u56de\u6d41\u52d5\u5316\u30fb\u7c92\u5b50\u30d7\u30ed\u30bb\u30c3\u30b7\u30f3\u30b0\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, \u5ca1\u5c71\u7406\u79d1\u5927\u5b66, \u52a0\u8a08\u5b66\u571250\u5468\u5e74\u8a18\u5ff5\u9928, 2014\u5e7412\u6708<\/li>\n\n\n\n
                                                                    2. \u6728\u6751\u5065\u592a\u90ce, \u77f3\u4e0a\u7384\u4e5f, “\u30ec\u30fc\u30b6\u30ec\u30f3\u30b8\u30d5\u30a1\u30a4\u30f3\u30c0\u306e\u8f1d\u5ea6\u753b\u50cf\u3092\u7528\u3044\u305f\u7279\u5fb4\u70b9\u62bd\u51fa\u624b\u6cd5\u306e\u63d0\u6848,” \u7b2c\uff11\uff14\u56de\u5efa\u8a2d\u30ed\u30dc\u30c3\u30c8\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c\u6771\u4eac\uff0c\u65e5\u672c\u30012014\u5e748\u6708<\/li>\n\n\n\n
                                                                    3. \u68ee\u5927\u8f1d, \u77f3\u4e0a\u7384\u4e5f, “PIV\u89e3\u6790\u306b\u57fa\u3065\u3044\u305f\u571f\u58cc\u6398\u524a\u30e1\u30ab\u30cb\u30ba\u30e0\u306e\u89e3\u660e\u3068\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9,” \u7b2c\uff11\uff14\u56de\u5efa\u8a2d\u30ed\u30dc\u30c3\u30c8\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff0c\u6771\u4eac\uff0c\u65e5\u672c\u30012014\u5e748\u6708<\/li>\n\n\n\n
                                                                    4. \u767d\u4e95\u5b5d\u5e78, \u77f3\u4e0a\u7384\u4e5f, “\u7802\u5730\u79fb\u52d5\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u8d70\u884c\u7279\u6027\u3092\u8a08\u6e2c\u3059\u308bIn-Wheel Sensor\u306e\u958b\u767a\u8a55\u4fa1,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u95a2\u6771\u5b66\u751f\u4f1a\u7b2c53\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u8fb2\u5de5\u5927\u5b66, 2014\u5e743\u6708<\/li>\n\n\n\n
                                                                    5. \u68ee\u5927\u8f1d, \u77f3\u4e0a\u7384\u4e5f, “\u571f\u58cc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u306e\u63a5\u89e6\u529b\u5b66\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\uff0c” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u7b2c\uff15\uff13\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u8fb2\u5de5\u5927\u5b66\uff0c 2014\u5e743\u6708<\/li>\n\n\n\n
                                                                    6. \u6728\u6751\u5065\u592a\u90ce, \u77f3\u4e0a\u7384\u4e5f, “\u30ec\u30fc\u30b6\u30fc\u30ec\u30f3\u30b8\u30d5\u30a1\u30a4\u30f3\u30c0\u3092\u7528\u3044\u305f\u7279\u5fb4\u70b9\u62bd\u51fa\u306e\u9ad8\u7cbe\u5ea6\u5316,” \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u7b2c\uff15\uff13\u56de\u5b66\u751f\u54e1\u5352\u696d\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a, \u6771\u4eac\u8fb2\u5de5\u5927\u5b66\uff0c 2014\u5e743\u6708<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

                                                                      Journal 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 International Conference 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 Domestic Conference 2022 2021 2020 2019 2018 2017 2016 2015 2014<\/p>\n","protected":false},"author":1,"featured_media":132,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"en_US","_original_post":"http:\/\/www.srg.mech.keio.ac.jp\/wordpress\/?page_id=53","footnotes":""},"class_list":["post-386","page","type-page","status-publish","has-post-thumbnail","hentry","en-US"],"_links":{"self":[{"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/pages\/386","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/comments?post=386"}],"version-history":[{"count":15,"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/pages\/386\/revisions"}],"predecessor-version":[{"id":2722,"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/pages\/386\/revisions\/2722"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/media\/132"}],"wp:attachment":[{"href":"https:\/\/www.srg.mech.keio.ac.jp\/wp-json\/wp\/v2\/media?parent=386"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}