The State of Robot Motion Generation
Bekris, Kostas E., Doerr, Joe, Meng, Patrick, Tangirala, Sumanth
–arXiv.org Artificial Intelligence
This paper reviews the large spectrum of methods for generating robot motion proposed over the 50 years of robotics research culminating in recent developments. It crosses the boundaries of methodologies, typically not surveyed together, from those that operate over explicit models to those that learn implicit ones.
arXiv.org Artificial Intelligence
Dec-16-2024
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