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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of intelligent & robotic systems Ročník 100; číslo 3-4; s. 809 - 826
Hlavní autoři:	Goharimanesh, M., Mehrkish, A., Janabi-Sharifi, F.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.12.2020 Springer Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!