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Kyo Kutsuzawa
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Journal Articles
- 2024
- [j12]Akito Fukunishi, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe:
Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model. Frontiers Comput. Neurosci. 18 (2024) - [j11]Kenya Tada, Yuhei Sorimachi, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe:
Integrated Quantitative Evaluation of Spatial Cognition and Motor Function with HoloLens Mixed Reality. Sensors 24(2): 528 (2024) - 2023
- [j10]Kyo Kutsuzawa, Mitsuhiro Hayashibe:
Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures. IEEE Access 11: 34150-34162 (2023) - [j9]Wei Zhu, Xian Guo, Dai Owaki, Kyo Kutsuzawa, Mitsuhiro Hayashibe:
A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3444-3459 (2023) - 2022
- [j8]Shunsuke Koseki, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe:
Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning. Frontiers Neurorobotics 16 (2022) - [j7]Toshiyuki Kondo, Jun Ota, Ryosuke Chiba, Qi An, Kyo Kutsuzawa:
Special Issue on Systems Science of Hyper-Adaptability. J. Robotics Mechatronics 34(4): 699 (2022) - 2021
- [j6]Katsumi Naya, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe:
Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning. IEEE Access 9: 150345-150354 (2021) - [j5]Masahide Oikawa, Tsukasa Kusakabe, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Reinforcement Learning for Robotic Assembly Using Non-Diagonal Stiffness Matrix. IEEE Robotics Autom. Lett. 6(2): 2737-2744 (2021) - 2020
- [j4]Daichi Furuta, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Motion Planning With Success Judgement Model Based on Learning From Demonstration. IEEE Access 8: 73142-73150 (2020) - 2019
- [j3]Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Trajectory adjustment for nonprehensile manipulation using latent space of trained sequence-to-sequence model. Adv. Robotics 33(21): 1144-1154 (2019) - 2018
- [j2]Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Sequence-to-Sequence Model for Trajectory Planning of Nonprehensile Manipulation Including Contact Model. IEEE Robotics Autom. Lett. 3(4): 3606-3613 (2018) - 2017
- [j1]Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
A Control System for a Tool Use Robot: Drawing a Circle by Educing Functions of a Compass. J. Robotics Mechatronics 29(2): 395-405 (2017)
Conference and Workshop Papers
- 2022
- [c9]Kazuki Furuhata, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe:
Systematic Motion Integration with Multiple Depth Cameras Allowing Sensor Movement for Stable Skeleton Tracking. EMBC 2022: 1801-1804 - [c8]Kenya Tada, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe:
Quantifying Motor and Cognitive Function of the Upper Limb Using Mixed Reality Smartglasses. EMBC 2022: 2556-2559 - [c7]Moeko Kojima, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe:
Game-based Evaluation of Whole-body Movement Functions with CoM Stability and Motion Smoothness. EMBC 2022: 4354-4357 - 2020
- [c6]Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Admittance Control Based on a Stiffness Ellipse for Rapid Trajectory Deformation. AMC 2020: 23-28 - 2019
- [c5]Koyo Sato, Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Success/Failure Identification of Skill Movement by Neural Network Using Force Information. IECON 2019: 3641-3646 - 2018
- [c4]Tetsugaku Okamoto, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Trajectory planning by variable length chunk of sequence-to-sequence using hierarchical decoder. AMC 2018: 209-214 - 2017
- [c3]Daichi Furuta, Kyo Kutsuzawa, Tetsugaku Okamoto, Sho Sakaino, Toshiaki Tsuji:
Model predictive control based deep neural network for dynamic manipulation. IECON 2017: 5215-5220 - [c2]Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Sequence-to-sequence models for trajectory deformation of dynamic manipulation. IECON 2017: 5227-5232 - 2016
- [c1]Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Estimation of individual force at three contact points on an end-effector by a six-axis force/torque sensor. IECON 2016: 6409-6414
Informal and Other Publications
- 2020
- [i2]Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji:
Assembly robots with optimized control stiffness through reinforcement learning. CoRR abs/2002.12207 (2020) - 2019
- [i1]Kyo Kutsuzawa, Hitoshi Kusano, Ayaka Kume, Shoichiro Yamaguchi:
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. CoRR abs/1910.03253 (2019)
Coauthor Index
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