A Fuzzy Reinforcement Learning Approach for Continuum Robot Control

Continuum robots (CRs) hold great potential for many medical and industrial applications where compliant interaction within the potentially confined environment is required. However, the navigation of CRs poses several challenges due to their limited actuation channels and the hyper-flexibility of t...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of intelligent & robotic systems Jg. 100; H. 3-4; S. 809 - 826
Hauptverfasser:	Goharimanesh, M., Mehrkish, A., Janabi-Sharifi, F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.12.2020 Springer Springer Nature B.V
Schlagworte:	Actuation Algorithms Analysis Artificial Intelligence Confined spaces Control Electrical Engineering Engineering Evolutionary algorithms Game theory Genetic algorithms Industrial applications Learning Machine learning Mechanical Engineering Mechatronics Robot control Robotics Robots Taguchi methods Tracking Fuzzy control ontinuum robot Evolutionary algorithms Reinforcement learning Taguchi method
ISSN:	0921-0296, 1573-0409
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!