青山　忠義　



学術論文

  1. T. Morita, S. Armleder, Y. Zhu, H. Iino, T. Aoyama, G. Cheng, and Y. Hasegawa, “RNN-Based Visual Guidance for Enhanced Sense of Agency in Teleoperation With Time-Varying Delays,” IEEE Robotics and Automation Letters, Vol.9, No.12, pp. 11537-11544, 2024.
  2. K. Yamamoto, Y. Zhu, T. Aoyama, and Y. Hasegawa, “Virtual Hand Deformation-Based Pseudo-Haptic Feedback for Enhanced Force Perception and Task Performance in Physically Constrained Teleoperation,” robotics, Vol.13, 143, 2024.
  3. S. Liu, Y. Zhu, T. Aoyama, M. Nakaya and Y. Hasegawa, “Latent Space Search-Based Adaptive Template Generation for Enhanced Object Detection in Bin-Picking Applications,” Sensors, Vol.24, 6050, 2024.
  4. J. Unde, T. Inden, Y. Wakayama, J. Colan, Y. Zhu, T. Aoyama, and Y. Hasegawa, “Development of a compliant gripper for safe robot-assisted trouser dressing-undressing,” Adbanced Robotics, Vol.38, Issue 19–20, 1424–1440, 2024.
  5. H. Liu, Y. Zhu, K. Kato, A. Tsukahara, I. Kondo, T. Aoyama, and Y. Hasegawa, “Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration,” IEEE Robotics and Automation Letters, Vol.9, No.8, pp. 6904-6911, 2024.
  6. R. Mori, T. Aoyama, T. Kobayashi, M. Takeuchi and Y. Hasegawa, “Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning,” IEEE Robotics and Automation Letters, Vol.9, No.4, pp. 3506-3513, 2024.
  7. R. Matsui, T. Aoyama, K. Kato and Y. Hasegawa, “Real-time motion force-feedback system with predictive-vision for improving motor accuracy,” Scientific Reports, vol.14, 2168, 2024.
  8. K. Sakamoto, T. Aoyama, M. Takeuchi and Y. Hasegawa, “Intuitive Cell Manipulation Microscope System with Haptic Device for Intracytoplasmic Sperm Injection Simplification,” Sensors, vol. 24, no. 2, 711, 2024.
  9. S. Saito, T. Aoyama, Y. Funabora, M. Takeuchi and Y. Hasegawa, “Assistive System for Microinjection by Presenting Cell Deformation as Surface Tactile Sensation,” IEEE Access, vol. 12, pp. 3874-3880, 2024.
  10. Y. Peng, Y. Sakai, K. Nakagawa, Y. Funabora, T. Aoyama, K. Yokoe, S. Doki, “Funabot-Suit: A bio-inspired and McKibben muscle-actuated suit for natural kinesthetic perception”, Biomimetic Intelligence and Robotics, Vol.3, Issue 4, 2023.
  11. Y. Zhu, K. Fusano, T. Aoyama and Y. Hasegawa, “Intention-reflected predictive display for operability improvement of time-delayed teleoperation system”, ROBOMECH Journal, 10, 17, 2023.
  12. Y. Zhu, B. Jiang, Q. Chen, T. Aoyama, and Y. Hasegawa, “A Shared Control Framework for Enhanced Grasping Performance in Teleoperation”, IEEE Access, vol.11, pp.69204-69215, 2023.
  13. K. Yamamoto, Y. Zhu, T. Aoyama, M. Takasu, M. Takeuchi and Y. Hasegawa, “Improvement in the Manipulability of Remote Touch Screens Based on Peri-Personal Space Transfer”, IEEE Access, vol.11, pp.43962-43974, 2023.
  14. 齋藤澄和, 青山忠義, 舟洞佑記, 竹内大, 長谷川泰久, “細胞の変形度を想起させる力触覚提示が可能な布状アクチュエータを用いた微細操作インタフェース”, 日本ロボット学会誌, vol.41, No.3, pp.322-325, 2023.
  15. T. Aoyama, S. Takeno, K. Yokoe, K. Hano, M. Takasu, M. Takeuchi and Y. Hasegawa, “Micromanipulation System Capable of Simultaneously Presenting High-Resolution and Large Field-of-View Images in Real-Time”, IEEE Access, vol.11, pp.34274-34285, 2023.
  16. J. Colan, A. DAVILA, Y. Zhu, T. Aoyama and Y. Hasegawa, “OpenRST: An Open Platform for Customizable 3D Printed Cable-Driven Robotic Surgical Tools”, IEEE Access, vol.11, pp.6092-6105, 2023.
  17. T. Morita, Y. Zhu, T. Aoyama, M. Takeuchi, K. Yamamoto, and Y. Hasegawa, “Auditory Feedback for Enhanced Sense of Agency in Shared Control”, Sensors, vol.22, no.24, 9779, 2022.
  18. M. Takeuchi,K. Tokutake, K. Watanabe, N. Ito, T. Aoyama, S. Saekid, S. Kurimoto, H. Hirata and Y. Hasegawa, “A Wirelessly Powered 4-Channel Neurostimulator for Reconstructing Walking Trajectory”, Sensors, vol.22, no.19, 7198, 2022.
  19. T. Aoyama, S. Yamada, N. J. Suematsu, M. Takeuchi and Y. Hasegawa, “Visual Sensing System to Investigate Self-Propelled Motion and Internal Color of Multiple Aqueous Droplets”, Sensors, vol.22, no.16, 6309, 2022.
  20. M. Takeuchi, Y. Hironaka, T. Aoyama and Y. Hasegawa, “Intuitive Remote Robotic Nasal Sampling by Orientation Control With Variable RCM in Limited Space”, IEEE Transactions on Medical Robotics and Bionics, vol.4, no.3, pp.646-655, 2022.
  21. K. Tokutake, M. Takeuchi, S. Kurimoto, S. Saeki, Y. Asami, K. Onaka, M. Saeki, T. Aoyama, Y. Hasegawa and H. Hirata, “A Therapeutic Strategy for Lower Motor Neuron Disease and Injury Integrating Neural Stem Cell Transplantation and Functional Electrical Stimulation in a Rat Model”, International Journal of Molecular Sciences, 23, 8760, 2022.
  22. K. Yokoe, T. Aoyama, T. Fujishiro, M. Takeuchi and Y. Hasegawa, “An immersive micro‑manipulation system using real‑time 3D imaging microscope and 3D operation interface for high‑speed and accurate micro‑manipulation”, ROBOMECH Journal, 9, 16, 2022. (日本機械学会ロボティクス・メカトロニクス部門欧文誌表彰)
  23. T. Fujishiro, T. Aoyama, K. Hano, M. Takasu, M. Takeuchi,and Y. Hasegawa, “Microinjection System to Enable Real-Time 3D Image Presentation Through Focal Position Adjustment”, IEEE Robotics and Automation Letters, Vol.6, No.2, pp.4025-4031, 2021.
  24. 藤城俊希，青山忠義，杷野一輝，高須正規，竹内大，長谷川泰久， “実時間３次元画像呈示により奥行き方向の視認性を向上させるマイクロマニピュレーションシステム”, 日本ロボット学会誌, Vol.39, No.5, pp.467-470, 2021.
  25. J. Colan, J. Nakanishi, T. Aoyama and Y. Hasegawa, “Optimization-Based Constrained Trajectory Generation for Robot-Assisted Stitching in Endonasal Surgery”, robotics, 10, 27, 2021.
  26. S. Itadera, T. Kobayashi, J. Nakanishi, T. Aoyama and Y. Hasegawa, “Towards physical interaction-based sequential mobility assistance using latent generative model of movement state”, Advanced Robotics, Vol.35, No.1, pp.64-79, 2021.
  27. J. Nakanishi, S. Itadera, T. Aoyama and Y. Hasegawa, “Towards the development of an intuitive teleoperation system for human support robot using a VR device”, Advanced Robotics, Vol.34, No.19, pp.1239-1253, 2020.
  28. J. Colan, J. Nakanishi, T. Aoyama and Y. Hasegawa, “A Cooperative Human-Robot Interface for Constrained Manipulation in Robot-Assisted Endonasal Surgery”, Applied Sciences, 10, 4809, 2020.
  29. M. Li, T. Aoyama and Y. Hasegawa, “Gait modification for improving walking stability of exoskeleton assisted paraplegic patient”, Robomech Journal, Vol.7, 21, 2020.
  30. M. Takeuchi, K. Watanabe, K. Ishihara, T. Miyamoto, K. Tokutake, S. Saeki, T. Aoyama, Y. Hasegawa, S. Kurimoto and H. Hirata, “Visual Feedback Control of a Rat Ankle Angle Using a Wirelessly Powered Two-Channel Neurostimulator”, Sensors, Vol.20, No.7, 2210, 2020.
  31. T. Aoyama, S. Takeno, M. Takeuchi and Y. Hasegawa, “Head-Mounted Display-Based Microscopic Imaging System with Customizable Field Size and Viewpoint”, Sensors, Vol.20, No.7, 1967, 2020.
  32. Y. Zhu, T. Aoyama, and Y. Hasegawa, “Enhancing the Transparency by Onomatopoeia for Passivity-Based Time-Delayed Teleoperation”, IEEE Robotics and Automation Letters, Vol.5, No.2, pp.2981-2986, 2020.
  33. A. A. Wardana, T. Takaki, T. Aoyama and I. Ishii, “Dynamic modeling and step-climbing analysis of a two-wheeled stair-climbing inverted pendulum robot”, Advanced Robotics, DOI: 10.1080/01691864.2019.1704868, 2019.
  34. S. Itadera, T. Aoyama, Y. Hasegawa, K. Aimoto, K. Kato and I. Kondo, “A clinical pilot study on posture stabilization via light contact with cane‑type companion robot”, ROBOMECH Journal, Vol.6, 7, doi: 10.1186/s40648-019-0145-y, 2019.
  35. T. Kobayashi, T. Aoyama, K. Sekiyama, Y. Hasegawa and T. Fukuda, “Delays in perception and action for improving walk–run transition stability in bipedal gait”, Nonlinear Dynamics, DOI: 10.1007/s11071-019-05097-0, 2019.
  36. Y. Zhu, T. Ito, T. Aoyama and Y. Hasegawa, “Development of sense of self‑location based on somatosensory feedback from finger tips for extra robotic thumb control”, ROBOMECH Journal, Vol.6, 7, doi: 10.1186/s40648-019-0135-0, 2019.
  37. T. Aoyama, H. Shikida, R. Schatz II, Y. Hasegawa, “Operational learning with sensory feedback for controlling a robotic thumb using the posterior auricular muscle”, Advanced Robotics, DOI: 10.1080/01691864.2019.1566090, 2019.
  38. T. Aoyama, L. Li, M. Jiang, T. Takaki, I. Ishii, H. Yang, C. Umemoto, H. Matsuda, M. Chikaraishi, and A. Fujiwara, “Vision-based Modal Analysis Using Multiple Vibration Distribution Synthesis to Inspect Large-Scale Structures”, ASME Journal of Dynamic Systems Measurement and Control, Vol.141, No.3, 031007, 2019.
  39. T. Kobayashi, K. Sekiyama, Y. Hasegawa, T. Aoyama and T. Fukuda, “Virtual‑dynamics‑based reference gait speed generator for limit‑cycle‑based bipedal gait”, ROBOMECH Journal, Vol.5, 18, doi: 10.1186/s40648-018-0115-9, 2018
  40. M. Li, Z. Yuan, T. Aoyama and Y. Hasegawa, “Precise Foot Positioning of Walking Robot for Paraplegic Patient Wearing Exoskeleton by Using Electrical Stimulation Feedback”, ASME Journal of Mechanisms and Robotics, Vol.10, No.4, 044505, 2018.
  41. 青山忠義，金石守，高木健，石井抱，長谷川泰久， “ガルバノミラーによる視線移動を用いた顕微鏡撮影のための視野拡張システム”, 日本ロボット学会誌, vol.34, no.4, pp.294-301, 2018.
  42. T. Kobayashi, K. Sekiyama, Y. Hasegawa, T. Aoyama, T. Fukuda, “Unified Bipedal Gait for Autonomous Transition between Walking and Running in Pursuit of Energy Minimization”, Robotics and Autonomous Systems, Vol.103, pp.27-41, 2018.
  43. X. Jiang, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “A High-speed Vision System with Multithread Automatic Exposure Control for High-dynamic-range Imaging”, Journal of Robotics and Mechantronics, Vol.30, No.1, pp.117-127, 2018.
  44. T. Aoyama, L. Li, M. Jiang, T. Takaki, I. Ishii, H. Yang, C. Umemoto, H. Matsuda, M. Chikaraishi and A. Fujiwara, “Vibration Sensing of a Bridge Model Using a Multithread Active Vision System”, IEEE/ASME Transactions on Mechatronics, Vol.23, No.1, pp.179-189, 2018.
  45. N. S. Meraz, M. Sobajima, T. Aoyama and Y. Hasegawa, “Modification of body schema by use of extra robotic thumb”, ROBOMECH Journal, Vol.5, 3, doi: 10.1186/s40648-018-0100-3, 2018
  46. 青山忠義, 高木健, 三浦拓実, 石井抱, “運動学的拘束条件のみを考慮したフラワースティックの回転操作”, 日本ロボット学会誌, vol.35，no.3，pp.86-94, 2017.
  47. M. Jiang, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Real-Time Vibration Source Tracking using High-Speed Vision”, IEEE Sensors Journal, vol.17, no.5, pp.1513-1527, 2017.
  48. T. Aoyama, Q. Gu, T. Takaki, and I. Ishii, “Position and Inclination Control of a Passive Disk Based on Cyclic Motion Generation”, Vol.4, No.1, 3, ROBOMECH Journal, doi: 10.1186/s40648-016-0071-1, 2017.
  49. T. Aoyama, A. Zoysa, Q. Gu, T. Takaki, and I. Ishii, “Vision-based Real-time Micro Flow-rate Control System for Cell Analysis”, Journal of Robotics and Mechatronics, Vol.28, No.6, pp.854-861, 2016.
  50. M. Jiang, T. Aoyama, T. Takaki, and I. Ishii, “Pixel-Level and Robust Vibration Source Sensing in High-Frame-Rate Video Analysis”, Sensors, Vol.16, No.11, 1842, 2016.
  51. 上野貴弘，青山忠義，顧慶毅，高木健，石井抱，川原知洋， “間欠的高速トラッキングに基づく顕微鏡下でのモーションブラーフリー撮影”, 日本ロボット学会誌, Vol. 34, No. 6, pp. 57-64，2016.
  52. T. Kobayashi, T. Aoyama, Y. Hasegawa, K. Sekiyama, T. Fukuda, “Adaptive speed controller using swing leg motion for 3-D limit-cycle-based bipedal gait"” Nonlinear Dynamics, Vol. 84, No. 4, pp. 2285-2304, 2016.
  53. T. Kobayashi, K. Sekiyama, T. Aoyama, Y. Hasegawa and T. Fukuda, “Selection of two arm-swing strategies for bipedal walking to enhance both stability and efficiency”, Advanced Robotics, Vol.30, No.6, pp.386-401, 2016.
  54. H. Gao, T. Aoyama, T. Takaki, and I. Ishii, “A Self-projected Structured Light System for Fast Three-dimensional Shape Inspection”, International Journal of Robotics and Automation, Vol.30, No.4, 206-4325, 2015.
  55. Q. Gu, T. Kawahara, T. Aoyama, T. Takaki, I. Ishii, A. Takemoto, and N. Sakamoto, “LOC-based High-throughput Cell Morphology Analysis System”, IEEE Transactions on Automation Science and Engineering, Vol.12, No.4, pp.1346-1356, 2015.
  56. J. Chen, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Blink-Spot Projection Method for Fast Three-Dimensional Shape Measurement”, Journal of Robotics and Mechatronics, Vol.27, No.4, pp.430-443, 2015.
  57. 小林泰介，関山浩介，青山忠義，長谷川泰久，福田敏男, “SAL を用いた腕振り戦略による２足歩行の安定化および効率向上”, 日本機械学会論文集, Vol.81, No.827, 14-00634, 2015.
  58. J. Chen, T. Yamamoto, T. Aoyama, T. Takaki, and I. Ishii, “Real-time Projection Mapping Using High-frame-rate Structured Light 3-D Vision”, SICE Journal of Control, Measurement, and System Integration, Vol.8, No.4, pp. 265-272, 2015.
  59. T. Kobayashi, T. Aoyama, K. Sekiyama, and T. Fukuda, “Selection Algorithm for Locomotion Based on the Evaluation of Falling Risk”， IEEE Transactions on Robotics, Vol. 31, No. 3, pp. 750-765, 2015.
  60. T. Aoyama, Y. Harada, Q. Gu, T. Takaki, and I. Ishii, “Cyclic motion design and analysis for a passive object manipulation using an active plate”， Advanced Robotics, Vol. 29, No. 7, pp. 493-503, 2015.
  61. T. Kobayashi, K. Sekiyama, T. Aoyama and T. Fukuda, “Cane-supported walking by humanoid robot and falling-factor-based optimal cane usage selection”, Robotics and Autonomous Systems, Vol. 68, pp. 21-35, 2015.
  62. Z. Lu, K. Sekiyama, T. Aoyama, Y. Hasegawa, T. Kobayashi, and T. Fukuda, “Energetically Efficient Ladder Descent Motion with Internal Stress and Body Motion Optimized for a Multi-Locomotion Robot”, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2015.2396872, 2015.
  63. Q. Gu, S. Raut, K. Okumura, T. Aoyama, T. Takaki, and I. Ishii, “Real-Time Image Mosaicing System Using a High-Frame-Rate Video Sequence”, Journal of Robotics andMechatronics, Vol. 27 No. 1, pp. 12-23, 2015.
  64. Qingy Gu, Tadayoshi Aoyama, Takeshi Takaki and Idaku Ishii, “Simultaneous Vision-Based Shape and Motion Analysis of Cells Fast-Flowing in a Microchannel”, IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 1, pp.204-215, 2015.
  65. Z. Lu, T. Aoyama, K. Sekiyama, Y. Hasegawa and T. Fukuda, “Motion Transfer Control From Walking to Brachiation Through Vertical Ladder Climbing for a Multi-Locomotion Robot”, IEEE/ASME Transactions on Mechatronics, Vol. 19, No. 5, pp.1681-1693, 2014.
  66. Y. Liu, H. Gao, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “High-frame-rate Structured Light 3-D Vision for Fast Moving Objects”, Journal of Robotics and Mechatronics, Vol. 26, No. 3, pp. 331-320, 2014.
  67. Q. Gu, A. Noman, T. Aoyama, T. Takaki, and I. Ishii, “A High-Frame-Rate Vision System with Automatic Exposure Control”, IEICE Transactions on Information and Systems, Vol.E97-D, No.4, pp.936-950, 2014.
  68. S. Umemoto, S. Tanoue, N. Miyamoto, T. Takaki, I. Ishii, T. Aoyama, and K. Fujii, “Concrete Surface Strain Measurement Using Moire fringes”, Construction and Building Materials, doi: 10.1016/j.conbuildmat.2013.12.035 (online first), 2014.
  69. Z. Lu, T. Aoyama, K. Sekiyama, Y. Hasegawa and T. Fukuda, “Walk-to-ladder Climb Transfer with Force Adjustment for a Multi-locomotion Robot”, Journal of Applied Sciences, Vol.13, No.9, pp.1629-1635, 2013.
  70. H. Yang, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii , “Dynamics-Based Stereo Visual Inspection Using Multidimensional Modal Analysis”, IEEE Sensors Journal, Vol.13, No.12, pp.4831-4843, 2013.
  71. M. Kobatake, T. Aoyama, T. Takaki, and I. Ishii, “A Real-Time Microscopic PIV System Using Frame Straddling High-Frame-Rate Vision”, Journal of Robotics and Mechatronics, Vol.25, No.4, pp.586-595, 2013.
  72. Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Fast Tracking System for Multi-colored Pie-shaped Markers”, International Journal of Optomechatronics, Vol.7, No.3, pp.160-180, 2013
  73. Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “High Frame-rate Tracking of Multiple Color-patterned Objects”, Journal of Real-Time Image Processing, doi: 10.1007/s11554-013-0349-y, 2013
  74. 小林泰介，青山忠義，関山浩介，福田敏男， “客観的転倒リスクと移動効率評価に基づくマルチロコモーションロボットの行動選択手法”， 日本ロボット学会誌，Vol. 31, No. 1, pp. 89-97, 2013．
  75. T. Aoyama, K. Sekiyama, Z. Lu, Y. Hasegawa, T. Fukuda, “3-D BipedWalking Using Double Support Phase and Swing Leg Retraction Based on the Assumption of Point-contact”, Journal of Robotics and Mechatronics, Vol.24, No.5, pp. 866-875, 2012.
  76. Z. Lu, T. Aoyama, K. Sekiyama, Y. Hasegawa and T. Fukuda, “Transition Motion from Ladder Climbing to Brachiation with Optimal Load Allocation Control”, Advanced Robotics, Vol. 26, No. 8-9, pp. 1075-1098, 2012.
  77. T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “PDAC-based 3-D Biped Walking Adapted to Rough Terrain Environment”, Journal of Robotics and Mechatronics, Vol. 24, No. 1, pp. 37-46, 2012.
  78. Z. Lu, K. Sekiyama, Y. Hasegawa, T. Aoyama, H. Yoneda, and T. Fukuda, “Climbing up motion of the Multi-locomotion robot (MLR) on vertical ladder with different gaits”, International Journal of Mechanics and Automation, Vol. 1, Nos. 3/4, pp.190-200, 2011.
  79. T. Aoyama, Y. Hasegawa, T. Fukuda, and K. Sekiyama, “Control of lateral motion in bipedal walking based on PDAC”, International Journal of Mechatronics and Manufacturing Systems, Vol. 3, No. 3/4, pp. 274-290, 2010 .
  80. T. Aoyama, Y. Hasegawa, K. Sekiyama, and T. Fukuda, “Stabilizing and Direction Control of Efficient 3-D Biped Walking Based on PDAC”, IEEE/ASME Transactions on Mechatoronics, Vol. 14, No. 6, pp. 712-718, 2009.
  81. T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “Optimal limb length ratio of quadruped robot minimizing joint torque on slopes”, Applied Bionics and Biomechanics, Vol. 6, No. 3-4, pp. 259-268, 2009.
  82. 青山忠義, 関山浩介，長谷川泰久，福田敏男， “傾斜面上の4 足歩行における関節トルク最小化身体構造のモデリング”， 日本機械学会論文集C編，Vol. 75, No. 751, pp. 648-655, 2009.

解説記事

  1. 長谷川泰久, Jacinto E. Colan Zaita, 魚住大輔, 青山忠義, 中西淳, “スマートアーム : ユーザインタフェース”, システム制御情報学会誌, Vol.63, No.10, pp.424-430, 2019.
  2. 青山忠義, 石井抱, “IoT時代に対応するマルチタスク型の次世代ビジョンとそのセンシング応用”, エレクトロニクス実装学会誌, Vol.19, No.7, pp.475-480, 2016.

学術図書

  1. 青山忠義， “視野拡張トラッキング顕微鏡”，pp.860–861，ロボット工学ハンドブック（第3版），コロナ社，2023.
  2. 青山忠義，長谷川泰久， “マクロ・マイクロ・インタラクション”，pp.70–75，最先端ナノライフシステム研究，丸善プラネット，2021.
  3. 福田敏男，長谷川泰久．関山浩介，青山忠義，小林 泰介， “マルチロコモーション”，pp.644–646，ロボット制御学ハンドブック，近代科学社，2017.
  4. I. Ishii and T. Aoyama, “Real-time Capillary-level Microchannel Flow Analysis Using a Full-pixel Frame-straddling Micro-PIV System”, Hyper Bio Assembler for 3D Cellular Systems, pp.43-55, Springer, 2015.
  5. T. Fukuda, K. Sekiyama, T. Aoyama, Y. Hasegawa and Q. Huang, “Locomotion Mode Transition Control of a Multi-Locomotion Robot”, A Treatise on Good Robots, pp. 83-101, Transaction Publishers, 2013.
  6. T. Aoyama, T. Kobayashi, Z. Lu, K. Sekiyama, Y. Hasegawa and T. Fukuda, “Locomotion Transition Scheme of Multi-Locomotion Robot”, Injury and Skeletal Biomechanics, pp. 21-36, INTECH, 2012.
  7. T. Fukuda, Y. Hasegawa, K. Sekiyama, T. Aoyama, “Multi-Locomotion Robotic System -New Concept of Bio-inspired Robotics-”, Springer, 2012.
  8. T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “Passive Dynamic Autonomous Control for the Multi-locomotion Robot”, Biped Robots, pp. 115-128, INTECH, 2011.
  9. T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “Bipedal Walking Control based on the Assumption of the Point-contact: Sagittal Motion Control and Stabilization”, Climbing and Walking Robots, pp.185-200, INTECH, 2010.
  10. T. Fukuda, T. Aoyama, Y. Hasegawa, K. sekiyama, and S. Kojima, “PDAC-Based Brachiating Control of the Multi-locomotion Robot”, Aspects of Soft Computing, Intelligent Robotics and Control, pp. 101-121, Springer, 2009.
  11. T. Fukuda, T. Aoyama, Y. Hasegawa, and K. sekiyama, “Multilocomotion Robot: Novel Concept, Mechanism and Control of Bio-Inspired Robot”, Artificial Life Models in Hardware, pp. 65-86, Springer, 2009.

招待講演

  1. “Pioneering Macro-Micro Interaction Systems with IntelligentMedia, AI, and Robotics”, 2024 International Symposium on Micro-NanoMechatronics and Human Science, Nagoya, 2024年11月24日.
  2. “生殖補助医療における信頼されるAIの実現に向けて”, 第63回日本生体医工学会大会2024　オーガナイズドセッション「生体医工学における信頼されるAIの実現に向けて」, 鹿児島, 2024年5月24日.
  3. “胚培養⼠不⾜の解決に向けた顕微授精⽀援システム”, 第63回日本生体医工学会大会2024　オーガナイズドセッション「生殖補助医療における医工学」, 鹿児島, 2024年5月23日.
  4. “マクロ・マイクロ・インタラクション技術による顕微授精⽀援システム”, 第12回⽇本⽣殖医療⽀援システム研究会, 京都, 2024年2月18日.
  5. “生殖補助医療に貢献する顕微授精支援システム”, 第444回 名城大学 理工談話会, 2023年10月19日.
  6. “Macro-Micro Interaction Systems for Assisted Reproductive Technology”, Keynote Speeche, Ubiquitous Robots 2023 (UR2023), ホノルル, 2023年6月26日.
  7. “生殖補助医療における顕微授精支援AI”, 第62回日本生体医工学会大会2023　オーガナイズドセッション「生体医工学分野における「信頼されるAI」」, 名古屋, 2023年5月18日.
  8. “Macro-Micro Interaction Technology and Its Applications”, 3rd Joint ERCIM - JST Workshop (THEME: Humans and Interactions in Intelligent and XR Environments), ヴェルサイユ, 2022年10月21日.
  9. “画像計測とマクローマイクロ・インタラクション”, 計測自動制御学会中部支部第128回「電機計測制御技術ワーキングセミナー」, オンライン, 2022年9月22日.
  10. “Macro-Micro Interaction Technology”, Computing Intelligence and Unmanned Systems Virtual Symposium, オンライン, 2021年12月18日.
  11. “Real-time visual sensing and its application”, HUST-NU High-Level Academic Virtual Forum, オンライン, 2021年8月7日.
  12. “マルチタスク型ビジョンシステムの開発とそのセンシング応用”, ものづくりライフイノベーションシンポジウム2019, 横浜, 2019年6月19日.
  13. “高速ビジョンによる計測技術とそのロボティクス応用”, 高齢者の自立排泄支援を可能にするロボティクスホーム研究会, 名古屋, 2018年12月26日.
  14. “センサベースド高速マニピュレーション”, 計測自動制御学会 マニピュレーション部会定例会, 岐阜, 2017年8月28日.
  15. “Legged Locomotion of Multi-locomotion Robot and High-speed Vision based Mechatronics System”, Multi-Locomotion Robot (MLR) Symposium, 名古屋, 2016年3月15日.
  16. “Motion control using discrete dynamical system”, Northeastern University, 瀋陽, 中国, 2013年11月28日.

国際会議

  1. R. Mori, T. Aoyama, T. Kobayashi, M. Takeuchi and Y. Hasegawa, “Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning,” IEEE/RSJ International Conference on Intelligent Robots and Systems, PP.3506-3513, 2024. (RA-L option)
  2. K. Yokoe, T. Aoyama, Y. Funabora, M. Takeuchi and Y. Hasegawa, “Elbow Angle Guidance System Based on Surface Haptic Sensations Elicited by Lightweight Wearable Fabric Actuator”, IEEE/ASME Conference on Advanced Intelligent Mechatronics, pp.1447-1454, 2024.
  3. K. Sakamoto, T. Aoyama, M. Takeuchi and Y. Hasegawa, “Real-Time 3D Image-Presentation Micro-Manipulation System with Force Feedback”, IEEE/SICE International Symposium on System Integration, 2024.
  4. R. Matsui, T. Aoyama, K. Kenji, Y. Funabora, M. Takeuchi and Y. Hasegawa, “Table Tennis Swing Coaching System Using Human Motion Prediction and a Fabric Actuator Suit”, IEEE/SICE International Symposium on System Integration, 2024.
  5. K. Yokoe, T. Aoyama, Y. Funabora, M. Takeuchi and Y. Hasegawa, “Shoulder-Wearable Fabric Actuator for Directional Sensations”, International Symposium on Micro-NanoMechatronics and Human Science, 2023. (Best Paper Award)
  6. S. Saito, T. Aoyama, Y. Funabora, M. Takeuchi and Y. Hasegawa, “Immersive micromanipulation interface for suction/discharge sensation to facilitate cell movement and grasping”, International Symposium on Micro-NanoMechatronics and Human Science, 2023.
  7. R. Mori, T. Aoyama, T. Kobayashi, K. Sakamoto, M. Takeuchi and Y. Hasegawa, “Oocyte Rotation Assistance System Using AI Trained on the Micromanipulations of a Skilled Operator”, International Symposium on Micro-NanoMechatronics and Human Science, 2023.
  8. H. Liu, Y. Zhu, K. Kato, I. Kondo, T. Aoyama, and Y. Hasegawa, “LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks”, International Symposium on Micro-NanoMechatronics and Human Science, 2023.
  9. Q. Chen, Y. Zhu, K. Hansel, T. Aoyama, and Y. Hasegawa, “Human Preferences and Robot Constraints Aware Shared Control for Smooth Follower Motion Execution”, International Symposium on Micro-NanoMechatronics and Human Science, 2023. (Best Paper Award)
  10. M. Takeuchi, T. Niimi, K. Tokutake, T. Aoyama, S. Kurimoto, H. Hirata and Y. Hasegawa, “A Neurostimulator for Controlling Muscle Contraction Force through Wireless Bidirectional Communication”, International Symposium on Micro-NanoMechatronics and Human Science, 2023.
  11. J. Unde, J. Colan, Y. Zhu, T. Aoyama, Y. Hasegawa, “Single Actuator Tendon Driven Two Finger Linkage Gripper with Strong Pinch and Adaptable Cylindrical Grasp”, IEEE International Conference on Robot and Human Interactive Communication, 2023. (Best Paper Award)
  12. Y. Hayashi, T. Aoyama, G. Koutaki, K. Mori, “A method for analyzing position of polar body in oocyte from microscopic images for assisting intracytoplasmic sperm injection”, Computer Assisted Radiology and Surgery, 2023.
  13. Y. Zhu, S. Nazirjonov, B. Jiang, J. Colan, T. Aoyama, B. Belousov, K. Hansel, and J. Peters, “Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation”, International Conference on Cyborg and Bionic Systems, pp.49-52, 2023.
  14. M. Takeuchi, K. Tokutake, T. Miyamoto, N. Ito T. Aoyama, S. Kurimoto, H. Hirata and Y. Hasegawa, “Peripheral Nerve Block and Stimulation for Controlling Rat Ankle Joint Angle using Visual Feedback System”, International Conference on Cyborg and Bionic Systems, pp.139-144, 2023.
  15. K. Yokoe, T. Aoyama, Y. Funabora, K. Nakagawa, Y. Sakai, M. Takeuchi and Y. Hasegawa, “Control Method of Fabric Actuator Suit for Gaze Guidance in Immersive Spaces”, International Symposium on Micro-NanoMechatronics and Human Science, 2022. (Best Paper Award)
  16. N. Ito, M. Takeuchi, K. Tokutake, T. Aoyama, S. Saeki, S. Kurimoto, H. Hirata, and Y. Hasegawa, “Wirelessly Powered Neurostimulator with Arbitrary AC Waveforms for High-Frequency Alternating Current Block to a Peripheral Nerve”, International Symposium on Micro-NanoMechatronics and Human Science, 2022.
  17. K. Fusano, Y. Zhu, J. Colan, T. Aoyama and Y. Hasegawa, “Intension Reading based Task Outcome Prediction for Operability Improvement of Time-Delayed Teleoperation System”, International Symposium on Micro-NanoMechatronics and Human Science, 2022.
  18. Y. Zhu, S. Nazirjonov, B. Jiang, J. Colan, T. Aoyama, Y. Hasegawa, “Tactile Sensor Based Visual Force Estimation for Force Feedback in Teleoperation”, International Symposium on Micro-NanoMechatronics and Human Science, 2022.
  19. Y. Zhu, J. Colan, T. Aoyama, and Y. Hasegawa, “Cutaneous Feedback Interface for Teleoperated In-Hand Manipulation”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.605-611, 2022.
  20. K. Yokoe, T. Aoyama, Y. Funabora, M. Takeuchi and Y. Hasegawa, “Mixed-reality-based immersive micromanipulation system for teleoperation and collaborative operation”, SICE Annual Conference 2022, pp.1238-1239, 2022.
  21. T. Fujishiro, T. Aoyama, M. Takeuchi, and Y. Hasegawa, “Accuracy Evaluation of Microinjection Using Real-time 3D Image Presentation System”, International Symposium on Micro-NanoMechatronics and Human Science, 2021.
  22. N. Ito, M. Takeuchi, K. Tokutake, T. Aoyama, S. Saeki, S. Kurimoto, H. Hirata, Y. Hasegawa, “Electrical Stimulation of Nerves Synchronized with Voluntary Movements towards Gait Reconstruction”, International Symposium on Micro-NanoMechatronics and Human Science, 2021.
  23. T. Aoyama, Y. Asai and Y.Hasegawa, “Time Delay Improvement for High-speed Non-prehensile Manipulation based on High-speed Visual Sensing”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.89-90, 2021.
  24. K. Yamamoto, T. Aoyama, M. Takeuchi, Y.Hasegawa, H. Iwashita and T. Shimizu “Improving the Operability of a Virtual In-Vehicle User Interface Through the Embodiment of a Hand Model”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.95-96, 2021.
  25. Y. Hironaka, M. Takeuchi, T. Aoyama and Y.Hasegawa, “A Teleoperated Robotic System with a Movable RCM Constraint for Nasopharyngeal Specimen Collection”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.104-106, 2021.
  26. K. Yokoe, T. Aoyama, T. Fujishiro, M. Takeuchi and Y.Hasegawa, “High-speed and High-accuracy Immersive Micro Manipulation System Using 3D Imaging Microscope and Glove-type Operation Interfaces”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.107-108, 2021.
  27. M. Takeuchi, K. Watanabe, K. Tokutake, T. Aoyama, S. Saeki, S. Kurimoto, H. Hirata and Y.Hasegawa, “A 4-Channel Neurostimulator for Knee and Ankle Joints Control using a Visual Feedback and Feedforward Control System”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.109-111, 2021.
  28. M. Takeuchi, K. Ishihara, K. Tokutake, T. Aoyama, S. Saeki, S. Kurimoto, H. Hirata and Y.Hasegawa, “A Multipolar Cuff Electrode for Alleviating Muscle Fatigue by Selective Stimulation of a Peripheral Nerve”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.112-123, 2021.
  29. T. Aoyama, S. Yamada, N. J. Suematsu, M. Takeuchi and Y.Hasegawa, “Visual Sensing System to Investigate Self-propelled Motion of Aqueous Droplets Using View-expansive Microscope”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.123-124, 2021.
  30. T. Aoyama, Y. Asai, K. Kato and Y.Hasegawa, “Teleoperation Systemthat Transcends Inherent AthleticAbility of Human Using Vision-based Prediction”, IEEE International Conference on Advanced Robotics and Its Social Impacts, pp.125-126, 2021.
  31. T. Aoyama, S. Takeno, K. Hano, M. Takasu, M. Takeuchi, and Y. Hasegawa, “View-expansion Microscope System with Real-time High-resolution Imaging for Simplified Microinjection Experiments”, IEEE International Conference on Robotics and Automation, pp.12961-12966, 2021.
  32. T. Fujishiro, T. Aoyama, K. Hano, M. Takasu, M. Takeuchi, and Y. Hasegawa, “Microinjection System to Enable Real-Time 3D Image Presentation Through Focal Position Adjustment”, IEEE International Conference on Robotics and Automation, 2021. (RA-L option)
  33. B. Jiang, T. Aoyama, W. Shang, “Micro Swirl Generation by Piezoelectric Actuator via a Bouc-Wen Model based Sliding Model Control”, IEEE International Conference on Real-time Computing and Robotics, pp. 245-249, 2020.
  34. D. Uozumi, J. E. Colan Zaita, J. Nakanishi, T. Aoyama and Y. Hasegawa, “Usability Study on Hans-on User Interface for Neurosurgical Articulated Forceps: Joystick and Serial link based Design”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 265-268, 2019. (Best Paper Award)
  35. S. Takeno, T. Aoyama, M. Takeuchi, Y. Hasegawa, “View Expansion Microscope based on Viewpoint Movement using a Galvano Mirror and Focus Adjustment using an Electrically Tunable Lens”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 241-242, 2019.
  36. S. Yamada, T. Aoyama, S. Takeno, M. Takeuchi, and Y. Hasegawa, “Three-dimensional View-expansive Microscope Based on Focal Point Adjustment and Viewpoint Movement”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 163-164, 2019.
  37. Y. Asai, T. Aoyama, M. Takeuchi, and Y. Hasegawa, “Flower Stick Rotation Manipulation Scheme not Requiring High-speed Robotic Motion”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 30-31, 2019.
  38. T. Aoyama, S. Takeno, M. Takeuchi, Y. Hasegawa, and I. Ishii, “Microscopic Tracking System for Simultaneous Expansive Observations of Multiple Micro-targets Based on View-expansive Microscope”, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 501-506, 2019. (Best Paper Award)
  39. M. Takeuchi, T. Miyamoto, S. Masuda, T. Aoyama, K. Tokutake, S. Kurimoto, and H. Hirata, and Y. Hasegawa, “Peripheral Nerve Stimulation Device Enabling Adjustment of Stimulation Voltage”, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, pp. 996-997, 2019.
  40. T. Miyamoto, M. Takeuchi, T. Aoyama, Y. Hasegawa, T. Nakano, S. Kurimoto, and H. Hirata, “Switching of Dorsal/Plantar Flexion of Rat Ankle Joint by Wirelessly Powered Neurostimulator”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 328-330, 2018.
  41. S. Takeno, T. Aoyama, M. Takeuchi, Y. Hasegawa and I. Ishii, “Microscopic Image Presentation Apparatus for Micro Manipulation based on the View Expansion Microscope System”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 326-327, 2018.
  42. K. Ohara, J. E. Colan Zaita, D. Uozumi, T. Aoyama, J. Nakanishi and Y. Hasegawa, “Development of a Precision-grip based Interface for 4-Dof Articulated Forceps”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 279-281, 2018.
  43. M. Ando, J. Chiba, S. Itadera, J. Nakanishi, T. Aoyama and Y. Hasegawa, “Experimental Evaluation of Haptic Visualization Interface for Robot Teleoperation using Onomatopoeia in a Haptic Recognition Task”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 54-56, 2018.
  44. Y. Zhu, H. Shikida, T. Aoyama and Y. Hasegawa, “Evaluating Shifted Body Representation and Modified Body Schema Using Extra Robotic Thumb”, IEEE International Conference on Cyborg and Bionic Systems, pp. 282-285, 2018.
  45. T. Aoyama, K. Matsuba, T. Takaki, I. Ishii, and Y. Hasegawa, “Flower Stick Manipulation Based on the High-speed Visual Feedback Control of a Dual Robotic Arm”, IFAC PapersOnLine, Vol.51, Issue 22, pp. 209–213, 12th IFAC Symposium on Robot Control, 2018.
  46. T. Aoyama, L. Li, M. Jiang, T. Takaki, I. Ishii, H. Yang, C. Umemoto, H. Matsuda, M. Chikaraishi, and A. Fujiwara, “Multithread Active Vision-based Modal Analysis Using Multiple Vibration Distribution Synthesis Method”, IEEE/ASME International Conference on Advanced Mechatronics, pp. 712-717, 2018.
  47. T. Aoyama, S. Takeno, M. Takeuchi, J. Nakanishi and Y. Hasegawa, “Mirror-based Microscopic Tracking System for Expansive Micro-observation”, The annual International Conference on Manipulation, Automation and Robotics at Small Scales, 2018.
  48. K. Liu, T. Aoyama, Y. Hasegawa, K. Saotome, Y. Sankai, “Development of Wearable Robotic System for Finger Movement Assistance”, World Automation Congress, 978-1-5323-7791-4/2018/, 2018.
  49. T. Aoyama, M. Hanabishi, T. Takaki, I. Ishii, and Y. Hasegawa, “High-speed Well-focused Image-Capturing System for Moving Micro-Objects Based on Histograms of the Luminance”, IEEE International Conference on Robotics and Automation, pp.4790-4795, 2018.
  50. Y. Tanaka, T. Aoyama, M. Shiokawa, “Scope of Manipulability Sharing: a Case Study for Sports Training”, IEEE International Conference on Virtual Reality and 3D User Interfaces (VR), Poster ID:1272, 2018.
  51. T. Aoyama, M. Hanabishi, T. Takaki and I. Ishii, “Instantaneous Acquisition of Focused Image Using High-speed Microscope System”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 311-312, 2017. (Best Paper Award)
  52. T. Aoyama, M. Kaneishi, T. Takaki, I. Ishii, S. Takeno, M. Takeuchi, J. Nakanishi and Y. Hasegawa, “Real-time Microscopic Video Shooting Using a View-expanded Microscope System”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 270-271, 2017.
  53. M. Li, T. Aoyama and Y. Hasegawa, “Electrical Stimulation for Compensation of Impaired Lower Limb Sensation”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 231-232, 2017.
  54. J. E. Colan Zaita, J. Nakanishi, K. Ohara, T. Aoyama and Y. Hasegawa, “A Concept of a User Interface Capable of Intutive Operation of 4-DoF Articulated Forceps”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 25-26, 2017.
  55. T. Miyamoto, M. Takeuchi, T. Nakano, T. Aoyama, S. Kurimoto, H. Hirata, Y. Hasegawa, “In Vivo Test of Inductively Powered Neurostimulator”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 23-24, 2017. (Best Paper Award)
  56. S. Umemoto, T. Takaki, M. Omachi, K. Matsuo,N. Miyamoto, I. Ishii, T. Aoyama, “Development of Self-Temperature Compensated Strain Visualization Sheet”, 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2017.
  57. M. Omachi, S. Umemoto, T. Takaki, K. Matsuo, N. Miyamoto, I. Ishii, T. Aoyama, “Visualization of Strain and New Strain Measurement Technique”, 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2017.
  58. M. Li, Z. Yuan, T. Aoyama and Y. Hasegawa, “Electrical Stimulation Feedback for Gait Control of Walking Simulator”, IEEE-RAS 17th International Conference on Humanoid Robotics, pp. 797-802, 2017.
  59. T. Aoyama, M. Kaneishi, T. Takaki and Idaku Ishii, “View Expansion System for Microscope Photography Based on Viewpoint Movement Using Galvano Mirror”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1140-1145, 2017.
  60. Y. Ohnishi, T. Takaki, T. Aoyama and I. Ishii, “Development of a 4-Joint 3-DOF robotic arm with anti-reaction force mechanism for a multicopter”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.985-991, 2017.
  61. L. Li, T. Aoyama, T. Takaki, I. Ishii, H. Yang, C. Umemoto, H. Matsuda, M. Chikaraishi and A. Fujiwara, “Vibration Distribution Measurement Using a High-speed Multithread Active Vision”, IEEE International Conference on Advanced Intelligent Mechatronics, pp.400-405, 2017.
  62. A. Sharma, K. Shimasaki, Q. Gu, J. Chen, T. Aoyama, T. Takaki, I. Ishii, K. Tamura, and K. Tajima, “Super High-Speed Vision Platform That Can Process 1024x1024 Images in Real Time at 12500 Fps”, IEEE/SICE International Symposium on System Integration, pp.544-549, 2016.
  63. M. Jiang, T. Aoyama, T. Takaki, and I. Ishii, “Vibration Source Localization for Motion-Blurred High-Frame-Rate Videos”, IEEE Conference on Robotics and Biomimetics, pp.774-779, 2016.
  64. X. Jiang, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “A High-Frame-Rate High Dynamic Range Imaging from Virtual Multi-Thread Automatic Exposures”, IEEE Conference on Robotics and Biomimetics, pp.1401-1406, 2016.
  65. T. Kobayashi, K. Sekiyama, Y. Hasegawa, T. Aoyama, and T. Fukuda, “Quasi-Passive Dynamic Autonomous Control to Enhance Horizontal and Turning Gait Speed Control”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.5612-5617, 2016.
  66. A. Wardana, T. Takaki, T. Aoyama, and I. Ishii, “Development of a Control System for a Stair-Climbing Inverted Pendulum Robot”, International Conference on Instrumentation, Control, and Automation, 2016.
  67. Q. Gu, J. Chen, T. Aoyama, and I. Ishii, “An Efficient Watershed Algorithm for Preprocessed Binary Image”, IEEE International Conference on Information and Automation, pp.1781-1786, 2016.
  68. T. Aoyama, T. Takaki, Q. Gu, and I. Ishii, “Control Scheme of Nongrasping Manipulation Based on Virtual Connecting Constraint”, IEEE International Conference on Robotics and Automation, pp. 3819-3824, 2016.
  69. T. Kobayashi, Y. Hasegawa, K. Sekiyama, T. Aoyama, and T. Fukuda, “Unified Bipedal Gait for Walking and Running by Dynamics-based Virtual Holonomic Constraint in PDAC”, IEEE International Conference on Robotics and Automation, pp. 1769-1775, 2016.
  70. M. Inoue, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “An Intermittent Frame-by-frame Tracking Camera for Motion-blur-free Video Shooting”, IEEE/SICE International Symposium on System Integration, pp.241-246, 2015.
  71. T. Kobayashi, T. Aoyama, Y. Hasegawa, K. Sekiyama, and T. Fukuda, “Dynamics-based Virtual Holonomic Constraint for PDAC Running”, IEEE International Symposium on Micro-Nano Mechatronics and Human Science, pp. 41-42, 2015.
  72. T. Aoyama, T. Takaki, T. Miura, Q. Gu, and I. Ishii, “Realization of Flower Stick Rotation Using Robotic Arm”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.5648-5653, 2015.
  73. T. Ueno, Q. Gu, T. Aoyama, T. Takaki, I. Ishii, and T. Kawahara, “Motion-blur-free Microscopic Video Shooting”, IEEE International Conference on Automation Science and Engineering, pp.837-742, 2015.
  74. S. Raut, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Real-Time Optical Image Stabilization using High Frame Rate Video Sequence at 500 fps”, Advances In Robotics, doi: 10.1145/2783449.2783516, 2015.
  75. Q. Gu, N. Nakamura, T. Aoyama, T. Takaki, and I. Ishii, “A full-pixel optical flow system using a GPU-based high-frame-rate vision”, Advances In Robotics, doi: 10.1145/2783449.2783501, 2015.
  76. T. Aoyama, A. D. Zoysa, Q. Gu, T. Takaki, and I. Ishii, “Real-time flow-rate control system for cell analysis”, Advances In Robotics, doi: 10.1145/2783449.2783499, 2015.
  77. J. Chen, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “A Fast 3D Shape Scanner Using Two HFR Camera-projector Systems”, Advances In Robotics, doi: 10.1145/2783449.2783478, 2015.
  78. T. Aoyama, Y. Harada, Q. Gu, T. Takaki, and I. Ishii, “A Scheme for Manipulating a Passive Object Using an Active Plate”, IEEE International Conference on Robotics and Automation, pp.2516-2521, 2015.
  79. T. Kobayashi, K. Sekiyama, T. Aoyama, Y. Hasegawa, and T. Fukuda, “Optimal Use of Arm-Swing for Bipedal Walking Control”, IEEE International Conference on Robotics and Automation, pp.5698-5703, 2015.
  80. T. Aoyama, Y. Harada, T. Takaki, and I. Ishii, “Posture Angle Manipulation of Passive Object Using Active Plate”， IEEE International Conference on Robotics and Biomimetics, pp.1451-1456, 2014.
  81. J. Chen, Y. Liu, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Robot-mounted 500-fps 3-D Shape Measurement Using Motion-compensated Coded Structured Light Method”, IEEE International Conference on Robotics and Biomimetics, pp.1989-1994, 2014.
  82. T. Kobayashi, K. Sekiyama, T. Aoyama, Y. Hasegawa, T. Fukuda, “Optimal Selection of Cane Usage with Humanoid Robot”, IEEE-RAS International Conference on Humanoid Robots, pp.199-204, 2014.
  83. T. Kobayashi, K. Sekiyama, T. Aoyama, Y. Hasegawa, T. Fukuda, “Support of COG Trajectory Tracking by Arm-Swing with Bipedal Walking”, IEEE International Symposium on Micro-Nano Mechatronics and Human Science, pp.150-152, 2014.
  84. Q. Gu, T. Aoyama, T. Takaki, I. Ishii, A. Takemoto, and N. Sakamoto, “Real-Time LOC-Based Morphological Cell Analysis System Using High-Speed Vision”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.822-827, 2013.
  85. Y. Liu, H. Gao, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “A Fast 3-D Shape Measurement Method for Moving Object”, International Conference on Progress in Informatics and Computing, 2014.
  86. T. Takaki, S. Tanaka, T. Aoyama and I. Ishii, “Position/Attitude Control of an Object by Controlling a Fluid Field Using a Grid Pattern Air Nozzle”, IEEE International Conference on Robotics and Automation, pp.6162-6167, 2014.
  87. Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Rapid Vision-based Shape and Motion Analysis System for Fast-flowing Cells in a Microchannel”, IEEE International Conference on Robotics and Automation, pp.5848-5853, 2014.
  88. J. Chen, T. Yamamoto, T. Aoyama, T. Takaki, and I. Ishii, “Simultaneous Projection Mapping Using High-frame-rate Depth Vision”, IEEE International Conference on Robotics and Automation, pp.4506-4511, 2014.
  89. M. Omachi, S. Umemoto, T. Takaki, N. Miyamoto, I. Ishii, and T. Aoyama, “Strain Visualization Sticker for Structural Health Monitoring”, 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2013.
  90. T. Kobayashi, T. Aoyama, M. Sobajima, K. Sekiyama and T. Fukuda, “Bipedal Walking by Humanoid Robot with Cane -Preventive Usage of Cane based on Impulse Force-”, IEEE International Symposium on Micro-Nano Mechatronics and Human Science, pp.54-59, 2013.
  91. T. Kobayashi, T. Aoyama, M. Sobajima, K. Sekiyama, and T. Fukuda, “Locomotion Selection Strategy for Multi-Locomotion Robot based on Stability and Efficiency”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2616-2621, 2013.
  92. K. Okumura, S. Raut, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Real-time Feature-based Video Mosaicing at 500 fps”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2665-2670, 2013.
  93. X. Zhao, Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “A Fast Multi-camera Tracking System with Heterogeneous Lenses”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2671-2676, 2013.
  94. J. Chen, Q. Gu, H. Gao, T. Aoyama, T. Takaki, and I. Ishii, “Fast 3-D Shape Measurement Using Blink-Dot Projection”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2683-2688, 2013.
  95. S. Tanoue, S. Umemoto, N. Miyamoto, T. Takaki, I. Ishii and T. Aoyama, “Concrete Surface Strain Measurement using Moire Fringes”, 3rd International Conference on Sustainable Construction Materials & Technologies, T1-6-4, 2013. (Paper Selected for Journal of SCMT3)
  96. Q. Gu, A. A. Noman, T. Aoyama, T. Takaki, and I. Ishii, “A Fast Color Tracking System with Automatic Exposure Control”, IEEE International Conference on Information and Automation, pp.1302-1307, 2013.
  97. H. Gao, T. Aoyama, T. Takaki, and I. Ishii, “Self-Projected Structured Light Method for Fast Depth-Based Image Inspection”, International Conference on Quality Control by Artificial Vision, pp.175-180, 2013.
  98. T. Takaki, T. Aoyama, and I. Ishii, “Development of Inverted Pendulum Robot Capable of Climbing Stairs Using Planetary Wheel Mechanism”, IEEE International Conference on Robotics and Automation, pp.5598-5604, 2013.
  99. H. Yang, G. Gu, T. Aoyama, T. Takaki and I. Ishii, “Real-Time Modal Analysis of Shell-Shaped Objects Using High-Frame-Rate Structured-Light-Based Vision”, IMAC XXXI A Conference and Exposition on Structural Dynamics, 2013.
  100. T. Aoyama, K. Sekiyama, Z. Lu, T. Kobayashi, Y. Hasegawa and T. Fukuda, “Stability Enhancement of 3-D Biped Walking based on Passive Dynamic Autonomous Control”, IEEE-RAS International Conference on Humanoid Robots, pp.443-448, Osaka, 2012.
  101. T. Kobayashi, T. Aoyama, K. Sekiyama and T. Fukuda, “Stabilization and Moving Efficiency Improvement by Adjustment of Moving Speed in Single Locomotion”, IEEE International Symposium on Micro-Nano Mechatronics and Human Science, pp.325-330, Nagoya, 2012.
  102. T. Aoyama, T. Miura, Y. Harada, T. Takaki, and I. Ishii, “Deflection Sensing via High Speed Vision System for Robotic Motion Control”, IEEE International Symposium on Micro-Nano Mechatronics and Human Science, pp.342-345, Nagoya, 2012.
  103. Q. Gu, T. Aoyama, T. Takaki, and I. Ishii, “Fast Tracking System for Multi-colored Pie-Shaped Markers", International Symposium on Optomechatronic Technologies, Paris, 2012.
  104. T. Kobayashi, T. Aoyama, K. Sekiyama, Z. Lu, Y. Hasegawa, and T. Fukuda, “Locomotion Selection of Multi-Locomotion Robot based on Falling Risk and Moving Efficiency”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2869-2874, Vila Moura, 2012.
  105. Z. Lu, K. Sekiyama, T. Aoyama, Y. Hasegawa, T. Kobayashi, and T. Fukuda, “Optimal Control of　Energetically Efficient Ladder Decent Motion with Internal Stress Adjustment Using Key Joint Method”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2216-2221, Vila Moura, 2012.
  106. Z. Lu, K. Sekiyama, T. Aoyama, Y. Hasegawa, T. Fukuda, “Experimental validation of optimal load-allocation control in pace gait ladder decent motion for Multi-Locomotion Robot (MLR)”, International Conference on Information and Automation, pp. 721-726, Kuala Terengganu, 2012.
  107. T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “3-D Biped Walking Using Double Support Phase based on the Assumption of Point-Contact”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 397-402, Nagoya, 2011.
  108. Z. Lu, T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “Vertical Ladder Climbing down Motion with Internal Stress Adjustment for a Multi-Locomotion Robot”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 403-408, Nagoya, 2011.
  109. S.Pchelkin, A. Shiriaev, U. Mettin, L. Freidovich, T. Aoyama, Z. Lu, and T. Fukuda, “Shaping Energetically Efficient Brachiation Motion for a 24-DOF Gorilla Robot”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5094-5099, San Francisco, 2011.
  110. T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “Three-Dimensional Bipedal Walking Control based on Adaptation of PDAC Constants”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 345-350, Nagoya, 2010.
  111. Z. Lu, T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “Dynamic Transition Motion from Ladder Climbing to Brachiation for a Multi-Locomotion Robot”, IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 351-255, Nagoya, 2010.
  112. T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “3-D Biped Walking over Rough Terrain based on the Assumption of Point-contact”, IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, pp. 3163-3168, 2010.
  113. H. Sawada, K. Sekiyama, T. Aoyama, Y. Hasegawa, and T. Fukuda, “Locomotion Transition Scheme with Instability Evaluation using Bayesian Network”, IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, pp. 3372-3377, 2010.
  114. Z. Lu, T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda, “Walk-to-brachiate Transfer of Multi-Locomotion Robot with Error Recovery”, IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, pp. 166-171, 2010.
  115. Z. Lu, T. Aoyama, K. Sekiyama, T. Fukuda, and Y. Hasegawa, “LOAD ALLOCATION CONTROL IN MOTION TRANSFER FROM LADDER CLIMBING TO BRACHIATION FOR A MULTI-LOCOMOTION ROBOT”, CLAWAR'2010: 13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Nagoya, 2010.
  116. Z. Lu, T. Aoyama, H. Yoneda, K. Sekiyama, T. Fukuda, and Y. Hasegawa, “Vertical Ladder Climbing Motion of Pace Gait with Body Motion Control for a Multi-Locomotion Robot”, IEEE/SICE International Symposium on System Integration, Tokyo, pp. 48-53, 2009.
  117. T. Aoyama, K. Sekiyama, Y. Hasegawa and T. Fukuda, “Experimental Verification of 3D Bipedal Walking based on Passive Dynamic Autonomous Control”, IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, pp. 1308-1313, 2009．(IEEE Robotics and Automation Society Japan Chapter Young Award)
  118. T. Aoyama, K. Sekiyama, Y. Hasegawa and T. Fukuda, “PDAC-based Underactuated 3D Bipedal Walking -Stabilization of PDAC Constants and Walking Direction Control-”, IEEE International Conference on Robotics and Automation, Kobe, pp. 1564-1570, 2009.
  119. H. Sawada, K. Sekiyama, M. Kojo, T. Aoyama, Y. Hasegawa and T. Fukuda, “Locomotion Stabilization with Transition between Biped and Quadruped Walk based on Recognition of Slope”, International Symposium on Micro-NanoMechatronics and Human Science, pp. 424-429, Nagoya, 2008.　
  120. T. Aoyama, K. Sekiyama, Y. Hasegawa and T. Fukuda, “Analysis of Relationship between Limb Length and Joint Load in Quadruped Walking on the slope”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3908-3913, Nice, 2008.
  121. T. Fukuda, T. Aoyama, Y. Hasegawa and K. Sekiyama, “Biomimetic Multi-locomotion Robot”, International Conference on Advanced Computational Intelligence and Its Applications, Jakarta, 2008.
  122. K. Sekiyama, M. Kojo, T. Aoyama, Z. Yin, H. Yoneda, Y. Hasegawa and T. Fukuda, “Adaptive Locomotion Transition based on Recognition of an Upslope”, International Symposium on Micro-NanoMechatronics and Human Science, pp. 598-603, Nagoya, 2007.

受賞

  1. 2024年　日本機械学会ロボティクス・メカトロニクス部門 分野融合研究優秀表彰
  2. 2023年　Best Paper Award in MHS2023（2件）
  3. 2023年　Best Paper Award in IEEE RO-MAN2023
  4. 2023年　日本機械学会ロボティクス・メカトロニクス部門欧文誌表彰
  5. 2023年　令和5年度科学技術分野の文部科学大臣表彰 若手科学者賞
  6. 2023年　Best Paper Finalist Award in CBS2022
  7. 2022年　SI2022優秀講演賞（2件）
  8. 2022年　Best Paper Award in MHS2022
  9. 2021年　SI2021優秀講演賞（3件）
  10. 2021年　日本ロボット学会　優秀研究・技術賞
  11. 2020年　SI2020優秀講演賞
  12. 2019年　Best Paper Award in IEEE MHS2019
  13. 2019年　Best Paper Award in IEEE/ASME AIM2019
  14. 2017年　Best Paper Award in IEEE MHS2017（2件）
  15. 2016年　SI2016優秀講演賞
  16. 2015年　ROBOMECH 表彰
  17. 2013年　The 3rd Int. Conf. Sustainable Construction Materials and Technologies SCMT Conference Prize
  18. 2010年　名古屋大学学術奨励賞
  19. 2009年　IEEE Robotics and Automation Society Japan Chapter Young Award
  20. 2009年　日本機械学会三浦賞

指導学生の受賞

  1. 2024年　IEEE Robotics and Automation Society Japan Joint Chapter Young Award (IROS2024) (Ryoya Mori)
  2. 2024年　SICE International Young Authors Award for IROS2024 (Ryoya Mori)
  3. 2023年　SICE優秀学生賞（横江 健太）
  4. 2022年　日本機械学会若手優秀講演フェロー賞（横江 健太）
  5. 2022年　日本機械学会三浦賞（藤城 俊希）