Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning

In recent years, imitation learning using neural networks has enabled robots to perform flexible tasks. However, since neural networks operate in a feedforward structure, they do not possess a mechanism to compensate for output errors. To address this limitation, we developed a feedback mechanism to...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Sato, Hiroshi, Konosu, Masashi, Sakaino, Sho, Tsuji, Toshiaki
Format:	Artikel
Sprache:	eng
Schlagworte:	Control systems Error analysis Error correction Error feedback Feedforward control Learning Multilayer perceptrons Multilayers Neural networks Robot control Writing
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!