8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.RO2022★ 1 cited
An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications
Kazuki Hayashi, Sho Sakaino, Toshiaki Tsuji
Recently, motion generation by machine learning has been actively researched to automate various tasks. Imitation learning is one such method that learns motions from data collecte…
cs.RO2021★ 8 cited
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…