MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation
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Abstract (arXiv)
While effective navigation in large, crowded environments is essential for an autonomous robot, preliminary testing of algorithms to support it requires simulation across a broad range of crowd scenarios. Most available simulation tools provide either realistic crowds without robots or realistic robots without realistic crowds. This paper introduces MengeROS, a 2-D simulator that realistically integrates multiple robots and crowds. MengeROS provides a broad range of settings in which to test the capabilities and performance of navigation algorithms designed for large crowded environments.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jan 2018.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 1.
4 papers.
- 2023Principles and Guidelines for Evaluating Social Robot Navigation Algorithmscited by 52
- 2023SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spacescited by 5
- 2022UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAVcited by 0
- 2025Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environmentscited by 0
- 2025Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments16 Apr 2025
- 2023Principles and Guidelines for Evaluating Social Robot Navigation Algorithms29 Jun 2023
- 2023SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces9 Mar 2023
- 2022UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV13 Aug 2022