4 papers
Disentangling Patterns and Transformations from One Sequence of Images with Shape-invariant Lie Group Transformer
T. Takada, W. Shimaya, Y. Ohmura +1
An effective way to model the complex real world is to view the world as a composition of basic components of objects and transformations. Although humans through development under…
Memory-based gaze prediction in deep imitation learning for robot manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
Deep imitation learning is a promising approach that does not require hard-coded control rules in autonomous robot manipulation. The current applications of deep imitation learning…
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…
Identifying Critical States by the Action-Based Variance of Expected Return
Izumi Karino, Yoshiyuki Ohmura, Yasuo Kuniyoshi
The balance of exploration and exploitation plays a crucial role in accelerating reinforcement learning (RL). To deploy an RL agent in human society, its explainability is also ess…