Text2Motion: from natural language instructions to feasible plans

We propose Text2Motion, a language-based planning framework enabling robots to solve sequential manipulation tasks that require long-horizon reasoning. Given a natural language instruction, our framework constructs both a task- and motion-level plan that is verified to reach inferred symbolic goals....

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Vydané v:	Autonomous robots Ročník 47; číslo 8; s. 1345 - 1365
Hlavní autori:	Lin, Kevin, Agia, Christopher, Migimatsu, Toki, Pavone, Marco, Bohg, Jeannette
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.12.2023 Springer Nature B.V
Predmet:	Artificial Intelligence Computer Imaging Control Engineering Feasibility Language instruction Large language models Mechatronics Natural language Pattern Recognition and Graphics Planning Reasoning Robotics Robotics and Automation Skills Task planning (robotics) Vision Large language models Long-horizon planning Robot manipulation
ISSN:	0929-5593, 1573-7527
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