Hierarchical Control and Learning of a Foraging CyberOctopus

Hierarchical Control and Learning of a Foraging CyberOctopus

Inspired by the unique neurophysiology of the octopus, a hierarchical framework is proposed that simplifies the coordination of multiple soft arms by decomposing control into high‐level decision‐making, low‐level motor activation, and local reflexive behaviors via sensory feedback. When evaluated in...

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Bibliographic Details
Main Authors: Chia-Hsien Shih, Noel Naughton, Udit Halder, Heng-Sheng Chang, Seung Hyun Kim, Rhanor Gillette, Prashant G. Mehta, Mattia Gazzola
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Advanced Intelligent Systems
Subjects:
bioinspiration
hierarchical control
soft robotics
Online Access:https://doi.org/10.1002/aisy.202300088

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