Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning

Zhenshan Bing, Christian Lemke, Long Cheng, Kai Huang, Alois Knoll

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

42 Zitate (Scopus)

Fingerprint

Untersuchen Sie die Forschungsthemen von „Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning“. Zusammen bilden sie einen einzigartigen Fingerprint.

Keyphrases

Computer Science

Engineering