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Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments

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arxiv 2406.00837 v1 pith:ZJRXN3EJ submitted 2024-06-02 cs.RO

classification cs.RO
keywords arenaplatformenvironmentssocialnavigationsimulationbeenbenchmarking
verification ladder T0 review T1 audit T2 compute T3 formal
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Building upon our previous contributions, this paper introduces Arena 3.0, an extension of Arena-Bench, Arena 1.0, and Arena 2.0. Arena 3.0 is a comprehensive software stack containing multiple modules and simulation environments focusing on the development, simulation, and benchmarking of social navigation approaches in collaborative environments. We significantly enhance the realism of human behavior simulation by incorporating a diverse array of new social force models and interaction patterns, encompassing both human-human and human-robot dynamics. The platform provides a comprehensive set of new task modes, designed for extensive benchmarking and testing and is capable of generating realistic and human-centric environments dynamically, catering to a broad spectrum of social navigation scenarios. In addition, the platform's functionalities have been abstracted across three widely used simulators, each tailored for specific training and testing purposes. The platform's efficacy has been validated through an extensive benchmark and user evaluations of the platform by a global community of researchers and students, which noted the substantial improvement compared to previous versions and expressed interests to utilize the platform for future research and development. Arena 3.0 is openly available at https://github.com/Arena-Rosnav.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. SONG: A Photorealistic 3D Gaussian Simulation Platform for Benchmarking Social Navigation

    cs.RO 2026-07 conditional novelty 6.0 of 10

    SONG, a benchmark with 1,000 photorealistic Gaussian scenes, 500 animated human avatars, and 500 difficulty-graded episodes, finds current vision-based social navigation policies succeed below 22% in easy episodes and...

  2. DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning

    cs.RO 2025-08 conditional novelty 4.0 of 10

    DELIVER combines an LLM parser, Voronoi territory division, and relay handoffs so multiple robots can cooperatively deliver an item from a single spoken instruction.

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