Motion Generation Using Bilateral Control-Based Imitation Learning With Autoregressive Learning

Imitation learning has been studied as an efficient and high-performance method to generate robot motion. Specifically, bilateral control-based imitation learning has been proposed as a method of realizing fast motion. However, the learning approach of this method leads to the accumulation of predic...

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Bibliographic Details
Main Authors: Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9344611/