62 citations · 106 across the 4 of their papers we have counts for
4 papers
A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control
Kazuki Hayashi, Ayumu Sasagawa, Sho Sakaino +1
In the near future, robots are expected to work with humans or operate alone and may replace human workers in various fields such as homes and factories. In a previous study, we pr…
Imitation learning for variable speed motion generation over multiple actions
Yuki Saigusa, Ayumu Sasagawa, Sho Sakaino +1
Robotic motion generation methods using machine learning have been studied in recent years. Bilateral control-based imitation learning can imitate human motions using force informa…
Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning
Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji
Robots that can execute various tasks automatically on behalf of humans are becoming an increasingly important focus of research in the field of robotics. Imitation learning has be…
Imitation Learning Based on Bilateral Control for Human-Robot Cooperation
Ayumu Sasagawa, Kazuki Fujimoto, Sho Sakaino +1
Robots are required to autonomously respond to changing situations. Imitation learning is a promising candidate for achieving generalization performance, and extensive results have…