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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Veröffentlicht in:	IEEE robotics and automation letters Jg. 8; H. 10; S. 6835 - 6842
Hauptverfasser:	Gong, Ran, Gao, Xiaofeng, Gao, Qiaozi, Shakiah, Suhaila, Thattai, Govind, Sukhatme, Gaurav S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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