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