Heecheol Kim

According to our database, Heecheol Kim authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Goal-Conditioned Dual-Action Imitation Learning for Dexterous Dual-Arm Robot Manipulation.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

IEEE Trans. Robotics, 2024

Multi-task robot data for dual-arm fine manipulation.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

CoRR, 2024

Multi-task real-robot data with gaze attention for dual-arm fine manipulation.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Training Robots Without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer.

Heecheol Kim, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi

IEEE Robotics Autom. Lett., May, 2023

2022

Robot peels banana with goal-conditioned dual-action deep imitation learning.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

CoRR, 2022

Using human gaze in few-shot imitation learning for robot manipulation.

Shogo Hamano, Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Memory-based gaze prediction in deep imitation learning for robot manipulation.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Gaze-Based Dual Resolution Deep Imitation Learning for High-Precision Dexterous Robot Manipulation.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

IEEE Robotics Autom. Lett., 2021

Transformer-based deep imitation learning for dual-arm robot manipulation.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Using Human Gaze to Improve Robustness Against Irrelevant Objects in Robot Manipulation Tasks.

Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi

IEEE Robotics Autom. Lett., 2020

Reinforcement Learning in Latent Action Sequence Space.

Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Disentangled Representations for Sequence Data using Information Bottleneck Principle.

Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder.

Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Hiroshi Yamakawa

CoRR, 2019

FAVAE: Sequence Disentanglement using Information Bottleneck Principle.

Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Hiroshi Yamakawa

CoRR, 2019