運動生成arXiv:2410.12172
ロボット運動生成の現状
The State of Robot Motion Generation
ロボット運動生成の50年間の研究を、明示的モデルから暗黙的学習まで横断的にレビューし、統合の可能性を論じた。
著者: Kostas E. Bekris, Joe Doerr, Patrick Meng, Sumanth Tangirala
分類: cs.RO, cs.AI, cs.LG
原文アブストラクト
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.
