Kyo Kutsuzawa

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Model Predictive Control

Microsoft Kinect

Top Venues

IEEE Robotics Autom. Lett.

Publications

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) (2024)
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) (2023)
Kyo Kutsuzawa, Mitsuhiro Hayashibe
Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures. IEEE Access 11 (2023)
Kenya Tada, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
Quantifying Motor and Cognitive Function of the Upper Limb Using Mixed Reality Smartglasses. EMBC (2022)
Kazuki Furuhata, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
Systematic Motion Integration with Multiple Depth Cameras Allowing Sensor Movement for Stable Skeleton Tracking. EMBC (2022)
Toshiyuki Kondo, Jun Ota, Ryosuke Chiba, Qi An, Kyo Kutsuzawa
Special Issue on Systems Science of Hyper-Adaptability. J. Robotics Mechatronics 34 (4) (2022)
Shunsuke Koseki, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning. Frontiers Neurorobotics 16 (2022)
Moeko Kojima, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
Game-based Evaluation of Whole-body Movement Functions with CoM Stability and Motion Smoothness. EMBC (2022)
Katsumi Naya, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe
Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning. IEEE Access 9 (2021)
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) (2021)
Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
Assembly robots with optimized control stiffness through reinforcement learning. CoRR (2020)
Daichi Furuta, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
Motion Planning With Success Judgement Model Based on Learning From Demonstration. IEEE Access 8 (2020)
Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
Admittance Control Based on a Stiffness Ellipse for Rapid Trajectory Deformation. AMC (2020)
Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
Trajectory adjustment for nonprehensile manipulation using latent space of trained sequence-to-sequence model. Adv. Robotics 33 (21) (2019)
Koyo Sato, Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
Success/Failure Identification of Skill Movement by Neural Network Using Force Information. IECON (2019)
Kyo Kutsuzawa, Hitoshi Kusano, Ayaka Kume, Shoichiro Yamaguchi
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. CoRR (2019)
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) (2018)
Tetsugaku Okamoto, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
Trajectory planning by variable length chunk of sequence-to-sequence using hierarchical decoder. AMC (2018)
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) (2017)
Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
Sequence-to-sequence models for trajectory deformation of dynamic manipulation. IECON (2017)
Daichi Furuta, Kyo Kutsuzawa, Tetsugaku Okamoto, Sho Sakaino, Toshiaki Tsuji
Model predictive control based deep neural network for dynamic manipulation. IECON (2017)
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)