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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Vydáno v:	IEEE robotics and automation letters Ročník 9; číslo 10; s. 8475 - 8482
Hlavní autoři:	Yang, Bangchu, Jiang, Li, Wu, Wenhao, Zhen, Ruichen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.10.2024
Témata:	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
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