Obstacle Avoidance and Path Planning for Humanoid Robots Using Stereo Vision. - Kohtaro Sabe; Masaki Fukuchi; Jens-Steffen Gutmann; Takeshi Ohashi 002; Kenta Kawamoto; Takayuki Yoshigahara (ICRA, 2004)

Self-regulation mechanism for continual autonomous learning in open-ended environments. - Kenta Kawamoto; Yukiko Hoshino; Kuniaki Noda; Kohtaro Sabe (EpiRob, 2009)

Reward-free learning using sparsely-connected hidden Markov models and local controllers. - Kohtaro Sabe; Kenta Kawamoto; Hirotaka Suzuki; Katsuki Minamino; Kenichi Hidai (EpiRob, 2009)

Development of object manipulation through self-exploratory visuomotor experience. - Kenta Kawamoto; Kuniaki Noda; Takashi Hasuo; Kohtaro Sabe (ICDL-EPIROB, 2011)

A generative model for developmental understanding of visuomotor experience. - Kuniaki Noda; Kenta Kawamoto; Takashi Hasuo; Kohtaro Sabe (ICDL-EPIROB, 2011)

Body area segmentation from visual scene based on predictability of neuro-dynamical system. - Harumitsu Nobuta; Kenta Kawamoto; Kuniaki Noda; Kohtaro Sabe; Shun Nishide; Hiroshi G. Okuno; Tetsuya Ogata (IJCNN, 2012)

The Differences in Information Transmission Efficiency - A Comparison of Analog and Digital Media. - Jun Iio; Tatsuya Sashizawa; Kenta Kawamoto; Minami Higuchi (AHFE (1), 2021)

Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation. - Ryuji Imamura; Takuma Seno; Kenta Kawamoto; Michael Spranger (CoRR, 2021)

Outracing champion Gran Turismo drivers with deep reinforcement learning. - Peter R. Wurman; Samuel Barrett; Kenta Kawamoto; James MacGlashan; Kaushik Subramanian; Thomas J. Walsh 001; Roberto Capobianco; Alisa Devlic; Franziska Eckert; Florian Fuchs 004; Leilani Gilpin; Piyush Khandelwal; et al. (Nat., 2022)

Skill-Critic: Refining Learned Skills for Reinforcement Learning. - Ce Hao; Catherine Weaver; Chen Tang 001; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (CoRR, 2023)

Improving Wind Resistance Performance of Cascaded PID Controlled Quadcopters using Residual Reinforcement Learning. - Yu Ishihara; Yuichi Hazama; Kousuke Suzuki; Jerry Jun Yokono; Kohtaro Sabe; Kenta Kawamoto (CoRR, 2023)

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. - Miguel Vasco; Takuma Seno; Kenta Kawamoto; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (RLJ, 2024)

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning. - Ce Hao; Catherine Weaver; Chen Tang 001; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2024)

BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay. - Catherine Weaver; Chen Tang 001; Ce Hao; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2024)

Residual-MPPI: Online Policy Customization for Continuous Control. - Pengcheng Wang 004; Chenran Li; Catherine Weaver; Kenta Kawamoto; Masayoshi Tomizuka; Chen Tang 001; Wei Zhan (ICLR, 2025)

A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7. - Hojoon Lee; Takuma Seno; Jun Jet Tai; Kaushik Subramanian; Kenta Kawamoto; Peter Stone 001; Peter R. Wurman (IEEE Robotics Autom. Lett., 2025)