Autor:	Bekris, Kostas E., Doerr, Joe, Meng, Patrick, Tangirala, Sumanth
Rok vydání:	2024
Předmět:	Computer Science - Robotics Computer Science - Artificial Intelligence Computer Science - Machine Learning I.2.9 I.2.8 I.2.6
Druh dokumentu:	Working Paper
Popis:	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. Comment: To be presented at the International Symposium of Robotics Research (ISRR), 2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.12172 Zobrazit plný text záznamu View this record from Arxiv