LEMMA: Learning Language-Conditioned Multi-Robot Manipulation

Complex manipulation tasks often require robots with complementary capabilities to collaborate. We introduce a benchmark for L anguag E -Conditioned M ulti-robot MA nipulation ( LEMMA ) focused on task allocation and long-horizon object manipulation based on human language instructions in a tabletop...

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Vydané v:	IEEE robotics and automation letters Ročník 8; číslo 10; s. 6835 - 6842
Hlavní autori:	Gong, Ran, Gao, Xiaofeng, Gao, Qiaozi, Shakiah, Suhaila, Thattai, Govind, Sukhatme, Gaurav S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Benchmark testing Benchmarks Collaboration Data Sets for Robot Learning Multi-robot systems Multiple robots Multitasking Natural Dialog for HRI Planning Robot kinematics Robots Task analysis Task complexity
ISSN:	2377-3766, 2377-3766
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