Heecheol Kim

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Imitation Learning

Information Bottleneck

Top Venues

IEEE Robotics Autom. Lett.

IEEE Trans. Robotics

Publications

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Goal-Conditioned Dual-Action Imitation Learning for Dexterous Dual-Arm Robot Manipulation. IEEE Trans. Robotics 40 (2024)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Multi-task robot data for dual-arm fine manipulation. CoRR (2024)
Heecheol Kim, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi
Training Robots Without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer. IEEE Robotics Autom. Lett. 8 (5) (2023)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Memory-based gaze prediction in deep imitation learning for robot manipulation. CoRR (2022)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Robot peels banana with goal-conditioned dual-action deep imitation learning. CoRR (2022)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Memory-based gaze prediction in deep imitation learning for robot manipulation. ICRA (2022)
Shogo Hamano, Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Using human gaze in few-shot imitation learning for robot manipulation. IROS (2022)
Heecheol Kim, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi
Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer. CoRR (2022)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Gaze-Based Dual Resolution Deep Imitation Learning for High-Precision Dexterous Robot Manipulation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation. CoRR (2021)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Transformer-based deep imitation learning for dual-arm robot manipulation. IROS (2021)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Transformer-based deep imitation learning for dual-arm robot manipulation. CoRR (2021)
Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa
Reinforcement Learning in Latent Action Sequence Space. IROS (2020)
Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa
Disentangled Representations for Sequence Data using Information Bottleneck Principle. ACML (2020)
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Using Human Gaze to Improve Robustness Against Irrelevant Objects in Robot Manipulation Tasks. IEEE Robotics Autom. Lett. 5 (3) (2020)
Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Hiroshi Yamakawa
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder. CoRR (2019)
Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Hiroshi Yamakawa
FAVAE: Sequence Disentanglement using Information Bottleneck Principle. CoRR (2019)