Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments

The ability to autonomously navigate safely, especially within dynamic environments, is paramount for mobile robotics. In recent years, DRL approaches have shown superior performance in dynamic obstacle avoidance. However, these learning-based approaches are often developed in specially designed sim...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 7; H. 4; S. 9477 - 9484
Hauptverfasser:	Kastner, Linh, Bhuiyan, Teham, Le, Tuan Anh, Treis, Elias, Cox, Johannes, Meinardus, Boris, Kmiecik, Jacek, Carstens, Reyk, Pichel, Duc, Fatloun, Bassel, Khorsandi, Niloufar, Lambrecht, Jens
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Autonomous navigation Benchmark testing Collision avoidance Learning Measurement motion and path planning Navigation Obstacle avoidance Platforms reinforcement learning Reproducibility Robotics Robots Software tools for benchmarking and reproducibility Task analysis Three-dimensional displays
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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