Evolving Robotic Hand Morphology Through Grasping and Learning

Creatures can co-evolve their biological structures and behaviors under environmental pressures. Leveraging biomimetic evolution algorithms (referred to as co-design or co-optimization), a diverse range of robots with environmental adaptation has been generated. However, implementing these evolution...

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Bibliographic Details

Published in:	IEEE robotics and automation letters Vol. 9; no. 10; pp. 8475 - 8482
Main Authors:	Yang, Bangchu, Jiang, Li, Wu, Wenhao, Zhen, Ruichen
Format:	Journal Article
Language:	English
Published:	IEEE 01.10.2024
Subjects:	Deep learning deep learning in grasping and manipulation Evolutionary robotics Grasping Hands Hardware hardware gradient methods and tools for robot system design Morphology Optimization Reconfigurable devices reconfigurable hand Robot programming Stability analysis
ISSN:	2377-3766, 2377-3766
Online Access:	Get full text
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