Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination

While classical approaches to autonomous robot navigation currently enable operation in certain environments, they break down in tightly constrained spaces, e.g., where the robot needs to engage in agile maneuvers to squeeze between obstacles. Recent machine learning techniques have the potential to...

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Vydané v:	IEEE robotics and automation letters Ročník 6; číslo 2; s. 1503 - 1510
Hlavní autori:	Xiao, Xuesu, Liu, Bo, Warnell, Garrett, Stone, Peter
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Autonomous navigation Autonomous vehicle navigation Barriers Collision avoidance Hallucinations imitation learning Machine learning machine learning for robot control Maneuvers motion and path planning Navigation Planning Robot sensing systems Robots sensorimotor learning Training
ISSN:	2377-3766, 2377-3766
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