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Kyo Kutsuzawa
Kyo Kutsuzawa
Assistant professor, Tohoku University
Verified email at tohoku.ac.jp - Homepage
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Cited by
Cited by
Year
Reinforcement learning for robotic assembly using non-diagonal stiffness matrix
M Oikawa, T Kusakabe, K Kutsuzawa, S Sakaino, T Tsuji
IEEE Robotics and Automation Letters 6 (2), 2737-2744, 2021
352021
A survey of sim-to-real transfer techniques applied to reinforcement learning for bioinspired robots
W Zhu, X Guo, D Owaki, K Kutsuzawa, M Hayashibe
IEEE Transactions on Neural Networks and Learning Systems 34 (7), 3444-3459, 2021
182021
Optimized trajectory generation based on model predictive control for turning over pancakes
T Tsuji, K Kutsuzawa, S Sakaino
IEEJ Journal of Industry Applications 7 (1), 22-28, 2018
162018
Sequence-to-sequence model for trajectory planning of nonprehensile manipulation including contact model
K Kutsuzawa, S Sakaino, T Tsuji
IEEE Robotics and Automation Letters 3 (4), 3606-3613, 2018
152018
Assembly robots with optimized control stiffness through reinforcement learning
M Oikawa, K Kutsuzawa, S Sakaino, T Tsuji
arXiv preprint arXiv:2002.12207, 2020
92020
Spiking neural network discovers energy-efficient hexapod motion in deep reinforcement learning
K Naya, K Kutsuzawa, D Owaki, M Hayashibe
IEEE Access 9, 150345-150354, 2021
82021
Trajectory adjustment for nonprehensile manipulation using latent space of trained sequence-to-sequence model
K Kutsuzawa, S Sakaino, T Tsuji
Advanced Robotics 33 (21), 1144-1154, 2019
72019
A control system for a tool use robot: Drawing a circle by educing functions of a compass
K Kutsuzawa, S Sakaino, T Tsuji
Journal of Robotics and Mechatronics 29 (2), 395-405, 2017
72017
Motion planning with success judgement model based on learning from demonstration
D Furuta, K Kutsuzawa, S Sakaino, T Tsuji
IEEE Access 8, 73142-73150, 2020
62020
Sequence-to-sequence models for trajectory deformation of dynamic manipulation
K Kutsuzawa, S Sakaino, T Tsuji
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
62017
Motor synergy generalization framework for new targets in multi-planar and multi-directional reaching task
K Kutsuzawa, M Hayashibe
Royal Society Open Science 9 (5), 211721, 2022
52022
Individual deformability compensation of soft hydraulic actuators through iterative learning-based neural network
T Sugiyama, K Kutsuzawa, D Owaki, M Hayashibe
Bioinspiration & Biomimetics 16 (5), 056016, 2021
52021
Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning
S Koseki, K Kutsuzawa, D Owaki, M Hayashibe
Frontiers in Neurorobotics 16, 1054239, 2023
42023
Admittance control based on a stiffness ellipse for rapid trajectory deformation
M Oikawa, K Kutsuzawa, S Sakaino, T Tsuji
2020 IEEE 16th International Workshop on Advanced Motion Control (AMC), 23-28, 2020
42020
Simultaneous estimation of contact position and tool shape using an unscented particle filter
K Kutsuzawa, S Sakaino, T Tsuji
IEEJ Journal of Industry Applications 9 (5), 505-514, 2020
42020
Quantifying motor and cognitive function of the upper limb using mixed reality smartglasses
K Tada, K Kutsuzawa, D Owaki, M Hayashibe
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
32022
Motion generation considering situation with conditional generative adversarial networks for throwing robots
K Kutsuzawa, H Kusano, A Kume, S Yamaguchi
arXiv preprint arXiv:1910.03253, 2019
32019
LSTM learning of inverse dynamics with contact in various environments
D Furuta, K Kutsuzawa, S Sakaino, T Tsuji
2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics, 149-154, 2018
32018
Model predictive control based deep neural network for dynamic manipulation
D Furuta, K Kutsuzawa, T Okamoto, S Sakaino, T Tsuji
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
32017
Acceleration control for dynamic manipulation of a robot turning over objects
T Tsuji, K Kutsuzawa, S Sakaino
IEEE Robotics and Automation Letters 2 (4), 2328-2335, 2017
32017
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Articles 1–20