Skip to Main content Skip to Navigation
Conference papers

Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd

Abstract : The evaluation of robot capabilities to navigate human crowds is essential to conceive new robots intended to operate in public spaces. This paper initiates the development of a benchmark tool to evaluate such capabilities; our long term vision is to provide the community with a simulation tool that generates virtual crowded environment to test robots, to establish standard scenarios and metrics to evaluate navigation techniques in terms of safety and efficiency, and thus, to install new methods to benchmarking robots' crowd navigation capabilities. This paper presents the architecture of the simulation tools, introduces first scenarios and evaluation metrics, as well as early results to demonstrate that our solution is relevant to be used as a benchmark tool.
Document type :
Conference papers
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03206221
Contributor : Fabien Grzeskowiak <>
Submitted on : Wednesday, April 28, 2021 - 12:02:24 PM
Last modification on : Monday, June 14, 2021 - 11:33:39 AM
Long-term archiving on: : Thursday, July 29, 2021 - 6:02:17 PM

Files

main.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03206221, version 1
  • ARXIV : 2104.14177

Citation

Fabien Grzeskowiak, David Gonon, Daniel Dugas, Diego Paez-Granados, Jen Chung, et al.. Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd. ICRA 2021 - IEEE International Conference on Robotics and Automation, May 2021, Xian, China. pp.3879-3885. ⟨hal-03206221⟩

Share

Metrics

Record views

85

Files downloads

75