RLBench: The Robot Learning Benchmark & Learning Environment

We present a challenging new benchmark and learning-environment for robot learning: RLBench. The benchmark features 100 completely unique, hand-designed tasks, ranging in difficulty from simple target reaching and door opening to longer multi-stage tasks, such as opening an oven and placing a tray i...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 5; H. 2; S. 3018 - 3025
Hauptverfasser:	James, Stephen, Ma, Zicong, Arrojo, David Rovick, Davison, Andrew J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Benchmark testing Benchmarks Cameras Computer vision deep learning in robotics and automation Learning (artificial intelligence) Learning from demonstration Masks perception for grasping and manipulation performance evaluation and benchmarking Robot learning Robot vision systems Robotics Robots Segmentation Task analysis Visual observation Waypoints
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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