Estimation of individual force at three contact points on an end-effector by a six-axis force/torque sensor. - Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (IECON, 2016)

Model predictive control based deep neural network for dynamic manipulation. - Daichi Furuta; Kyo Kutsuzawa; Tetsugaku Okamoto; Sho Sakaino; Toshiaki Tsuji (IECON, 2017)

Sequence-to-sequence models for trajectory deformation of dynamic manipulation. - Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (IECON, 2017)

A Control System for a Tool Use Robot: Drawing a Circle by Educing Functions of a Compass. - Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (J. Robotics Mechatronics, 2017)

Trajectory planning by variable length chunk of sequence-to-sequence using hierarchical decoder. - Tetsugaku Okamoto; Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (AMC, 2018)

Sequence-to-Sequence Model for Trajectory Planning of Nonprehensile Manipulation Including Contact Model. - Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (IEEE Robotics Autom. Lett., 2018)

Success/Failure Identification of Skill Movement by Neural Network Using Force Information. - Koyo Sato; Masahide Oikawa; Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (IECON, 2019)

Trajectory adjustment for nonprehensile manipulation using latent space of trained sequence-to-sequence model. - Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (Adv. Robotics, 2019)

Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. - Kyo Kutsuzawa; Hitoshi Kusano; Ayaka Kume; Shoichiro Yamaguchi (CoRR, 2019)

Admittance Control Based on a Stiffness Ellipse for Rapid Trajectory Deformation. - Masahide Oikawa; Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (AMC, 2020)

Motion Planning With Success Judgement Model Based on Learning From Demonstration. - Daichi Furuta; Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (IEEE Access, 2020)

Assembly robots with optimized control stiffness through reinforcement learning. - Masahide Oikawa; Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (CoRR, 2020)

Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning. - Katsumi Naya; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (IEEE Access, 2021)

Reinforcement Learning for Robotic Assembly Using Non-Diagonal Stiffness Matrix. - Masahide Oikawa; Tsukasa Kusakabe; Kyo Kutsuzawa; Sho Sakaino; Toshiaki Tsuji (IEEE Robotics Autom. Lett., 2021)

Systematic Motion Integration with Multiple Depth Cameras Allowing Sensor Movement for Stable Skeleton Tracking. - Kazuki Furuhata; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (EMBC, 2022)

Game-based Evaluation of Whole-body Movement Functions with CoM Stability and Motion Smoothness. - Moeko Kojima; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (EMBC, 2022)

Quantifying Motor and Cognitive Function of the Upper Limb Using Mixed Reality Smartglasses. - Kenya Tada; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (EMBC, 2022)

Special Issue on Systems Science of Hyper-Adaptability. - Toshiyuki Kondo; Jun Ota 001; Ryosuke Chiba; Qi An; Kyo Kutsuzawa (J. Robotics Mechatronics, 2022)

Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning. - Shunsuke Koseki; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (Frontiers Neurorobotics, 2022)

Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures. - Kyo Kutsuzawa; Mitsuhiro Hayashibe (IEEE Access, 2023)

A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots. - Wei Zhu 028; Xian Guo; Dai Owaki; Kyo Kutsuzawa; Mitsuhiro Hayashibe (IEEE Trans. Neural Networks Learn. Syst., 2023)

Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model. - Akito Fukunishi; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (Frontiers Comput. Neurosci., 2024)

Learning-based object's stiffness and shape estimation with confidence level in multi-fingered hand grasping. - Kyo Kutsuzawa; Minami Matsumoto; Dai Owaki; Mitsuhiro Hayashibe (Frontiers Neurorobotics, 2024)

Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors. - Taku Sugiyama; Kyo Kutsuzawa; Dai Owaki; Elijah Almanzor; Fumiya Iida; Mitsuhiro Hayashibe (Frontiers Robotics AI, 2024)

Integrated Quantitative Evaluation of Spatial Cognition and Motor Function with HoloLens Mixed Reality. - Kenya Tada; Yuhei Sorimachi; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (Sensors, 2024)

Two-Stage Learning of CPG and Postural Reflex Toward Quadruped Locomotion on Uneven Terrain With Simple Reward. - Ryosei Seto; Guanda Li; Kyo Kutsuzawa; Dai Owaki; Mitsuhiro Hayashibe (IEEE Access, 2025)