Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments

Linh Kästner, Reyk Carstens, Huajian Zeng, Jacek Kmiecik, Teham Bhuiyan +3 more
2/20/2023
cs.ROcs.AI

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Abstract

Following up on our previous works, in this paper, we present Arena-Rosnav 2.0 an extension to our previous works Arena-Bench and Arena-Rosnav, which adds a variety of additional modules for developing and benchmarking robotic navigation approaches. The platform is fundamentally restructured and provides unified APIs to add additional functionalities such as planning algorithms, simulators, or evaluation functionalities. We have included more realistic simulation and pedestrian behavior and provide a profound documentation to lower the entry barrier. We evaluated our system by first, conducting a user study in which we asked experienced researchers as well as new practitioners and students to test our system. The feedback was mostly positive and a high number of participants are utilizing our system for other research endeavors. Finally, we demonstrate the feasibility of our system by integrating two new simulators and a variety of state of the art navigation approaches and benchmark them against one another. The platform is openly available at https://github.com/Arena-Rosnav.

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Cite this paper

@article{kstner2023arenarosnav,
  title  = {Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments},
  author = {Linh Kästner and Reyk Carstens and Huajian Zeng and Jacek Kmiecik and Teham Bhuiyan and Niloufar Khorsandi and Volodymyr Shcherbyna and Jens Lambrecht},
  year   = {2023},
  eprint = {2302.10023},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.10023v2}
}

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