Kyo Kutsuzawa - RankMe

29 papers A 1C 4Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning-based robotic cloth manipulation applications: systematic review, challenges and opportunities for physical AI. Frontiers Robotics AI Ningquan Gu, Mitsuhiro Hayashibe, Kyo Kutsuzawa, Hui Yu
2025	J	`jnl`	Simultaneous estimation of contact position and tool shape with high-dimensional parameters using force measurements and particle filtering. CoRR Kyo Kutsuzawa, Mitsuhiro Hayashibe
2025	J	`jnl`	Two-Stage Learning of CPG and Postural Reflex Toward Quadruped Locomotion on Uneven Terrain With Simple Reward. IEEE Access Ryosei Seto, Guanda Li, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2025	A	`conf`	Two-stage Learning Framework Combining Joint-level Reinforcement Learning and Muscle-level Adaptation for Musculoskeletal Locomotion. IROS Laurie Azoulay, Kyo Kutsuzawa, Shunsuke Koseki, Dai Owaki, Mitsuhiro Hayashibe
2024	J	`jnl`	Integrated Quantitative Evaluation of Spatial Cognition and Motor Function with HoloLens Mixed Reality. Sensors Kenya Tada, Yuhei Sorimachi, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2024	J	`jnl`	Learning-based object's stiffness and shape estimation with confidence level in multi-fingered hand grasping. Frontiers Neurorobotics Kyo Kutsuzawa, Minami Matsumoto, Dai Owaki, Mitsuhiro Hayashibe
2024	J	`jnl`	Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model. Frontiers Comput. Neurosci. Akito Fukunishi, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2024	J	`jnl`	Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors. Frontiers Robotics AI Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe
2023	J	`jnl`	A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots. IEEE Trans. Neural Networks Learn. Syst. Wei Zhu, Xian Guo, Dai Owaki, Kyo Kutsuzawa, Mitsuhiro Hayashibe
2023	J	`jnl`	Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures. IEEE Access Kyo Kutsuzawa, Mitsuhiro Hayashibe
2022	—	`conf`	Game-based Evaluation of Whole-body Movement Functions with CoM Stability and Motion Smoothness. EMBC Moeko Kojima, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2022	J	`jnl`	Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning. Frontiers Neurorobotics Shunsuke Koseki, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2022	—	`conf`	Quantifying Motor and Cognitive Function of the Upper Limb Using Mixed Reality Smartglasses. EMBC Kenya Tada, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2022	J	`jnl`	Special Issue on Systems Science of Hyper-Adaptability. J. Robotics Mechatronics Toshiyuki Kondo, Jun Ota, Ryosuke Chiba, Qi An, Kyo Kutsuzawa
2022	—	`conf`	Systematic Motion Integration with Multiple Depth Cameras Allowing Sensor Movement for Stable Skeleton Tracking. EMBC Kazuki Furuhata, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2021	J	`jnl`	Reinforcement Learning for Robotic Assembly Using Non-Diagonal Stiffness Matrix. IEEE Robotics Autom. Lett. Masahide Oikawa, Tsukasa Kusakabe, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2021	J	`jnl`	Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning. IEEE Access Katsumi Naya, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
2020	—	`conf`	Admittance Control Based on a Stiffness Ellipse for Rapid Trajectory Deformation. AMC Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2020	J	`jnl`	Assembly robots with optimized control stiffness through reinforcement learning. CoRR Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2020	J	`jnl`	Motion Planning With Success Judgement Model Based on Learning From Demonstration. IEEE Access Daichi Furuta, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2019	J	`jnl`	Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. CoRR Kyo Kutsuzawa, Hitoshi Kusano, Ayaka Kume, Shoichiro Yamaguchi
2019	C	`conf`	Success/Failure Identification of Skill Movement by Neural Network Using Force Information. IECON Koyo Sato, Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2019	J	`jnl`	Trajectory adjustment for nonprehensile manipulation using latent space of trained sequence-to-sequence model. Adv. Robotics Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2018	J	`jnl`	Sequence-to-Sequence Model for Trajectory Planning of Nonprehensile Manipulation Including Contact Model. IEEE Robotics Autom. Lett. Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2018	—	`conf`	Trajectory planning by variable length chunk of sequence-to-sequence using hierarchical decoder. AMC Tetsugaku Okamoto, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2017	J	`jnl`	A Control System for a Tool Use Robot: Drawing a Circle by Educing Functions of a Compass. J. Robotics Mechatronics Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2017	C	`conf`	Model predictive control based deep neural network for dynamic manipulation. IECON Daichi Furuta, Kyo Kutsuzawa, Tetsugaku Okamoto, Sho Sakaino, Toshiaki Tsuji
2017	C	`conf`	Sequence-to-sequence models for trajectory deformation of dynamic manipulation. IECON Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
2016	C	`conf`	Estimation of individual force at three contact points on an end-effector by a six-axis force/torque sensor. IECON Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji