51 citations · 55 across the 5 of their papers we have counts for
4 papers · 1 filter
Third-party Evaluation of Robotic Hand Designs Using a Mechanical Glove
Takayuki Kanai, Yoshiyuki Ohmura, Akihiko Nagakubo +1
A robotic hand design suitable for dexterity should be examined using functional tests. To achieve this, we designed a mechanical glove, which is a rigid wearable glove that enable…
Transformer-based deep imitation learning for dual-arm robot manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Deep imitation learning is promising for solving dexterous manipulation tasks because it does not require an environment model and pre-programmed robot behavior. However, its appli…
Reinforced Imitation Learning by Free Energy Principle
Ryoya Ogishima, Izumi Karino, Yasuo Kuniyoshi
Reinforcement Learning (RL) requires a large amount of exploration especially in sparse-reward settings. Imitation Learning (IL) can learn from expert demonstrations without explor…
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
A high-precision manipulation task, such as needle threading, is challenging. Physiological studies have proposed connecting low-resolution peripheral vision and fast movement to t…