The State of Robot Motion Generation
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Abstract (arXiv)
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. The paper discusses the current state-of-the-art as well as properties of varying methodologies, highlighting opportunities for integration.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 53 of its 100 references that are in the map. First posted on arXiv 16 Oct 2024.
Builds on
53 of 100 references.
References · 53
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38 more
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