Kyo Kutsuzawa

Orcid: 0000-0002-5326-7847

According to our database1, Kyo Kutsuzawa authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Integrated Quantitative Evaluation of Spatial Cognition and Motor Function with HoloLens Mixed Reality.
Sensors, January, 2024

2023
A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures.
IEEE Access, 2023

2022
Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning.
Frontiers Neurorobotics, September, 2022

Special Issue on Systems Science of Hyper-Adaptability.
J. Robotics Mechatronics, 2022

Quantifying Motor and Cognitive Function of the Upper Limb Using Mixed Reality Smartglasses.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Game-based Evaluation of Whole-body Movement Functions with CoM Stability and Motion Smoothness.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Systematic Motion Integration with Multiple Depth Cameras Allowing Sensor Movement for Stable Skeleton Tracking.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Reinforcement Learning for Robotic Assembly Using Non-Diagonal Stiffness Matrix.
IEEE Robotics Autom. Lett., 2021

Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning.
IEEE Access, 2021

2020
Assembly robots with optimized control stiffness through reinforcement learning.
CoRR, 2020

Motion Planning With Success Judgement Model Based on Learning From Demonstration.
IEEE Access, 2020

Admittance Control Based on a Stiffness Ellipse for Rapid Trajectory Deformation.
Proceedings of the 16th IEEE International Workshop on Advanced Motion Control, 2020

2019
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots.
CoRR, 2019

Trajectory adjustment for nonprehensile manipulation using latent space of trained sequence-to-sequence model.
Adv. Robotics, 2019

Success/Failure Identification of Skill Movement by Neural Network Using Force Information.
Proceedings of the IECON 2019, 2019

2018
Sequence-to-Sequence Model for Trajectory Planning of Nonprehensile Manipulation Including Contact Model.
IEEE Robotics Autom. Lett., 2018

Trajectory planning by variable length chunk of sequence-to-sequence using hierarchical decoder.
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018

2017
A Control System for a Tool Use Robot: Drawing a Circle by Educing Functions of a Compass.
J. Robotics Mechatronics, 2017

Sequence-to-sequence models for trajectory deformation of dynamic manipulation.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Model predictive control based deep neural network for dynamic manipulation.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Estimation of individual force at three contact points on an end-effector by a six-axis force/torque sensor.
Proceedings of the IECON 2016, 2016


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