Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Apr 2021.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 2; 2026: 1.
5 papers.
- 2022Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metricscited by 5
- 2023SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spacescited by 5
- 2025Aion: Towards Hierarchical 4D Scene Graphs with Temporal Flow Dynamicscited by 5
- 2026Rheos: Modelling Continuous Motion Dynamics in Hierarchical 3D Scene Graphscited by 2
- 2025A Comparative Study of Human Motion Models in Reinforcement Learning Algorithms for Social Robot Navigationcited by 0
- 2026Rheos: Modelling Continuous Motion Dynamics in Hierarchical 3D Scene Graphs9 Mar 2026
- 2025Aion: Towards Hierarchical 4D Scene Graphs with Temporal Flow Dynamics10 Dec 2025
- 2025A Comparative Study of Human Motion Models in Reinforcement Learning Algorithms for Social Robot Navigation19 Mar 2025
- 2023SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces9 Mar 2023
- 2022Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics3 Aug 2022