HA-VLN 2.0: An Open Benchmark and Leaderboard for Human-Aware Navigation in Discrete and Continuous Environments with Dynamic Multi-Human Interactions
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Abstract (arXiv)
Vision-and-Language Navigation (VLN) has been studied mainly in either discrete or continuous spaces, with little attention to dynamic, crowded environments. We present HA-VLN 2.0, a unified benchmark introducing explicit social-awareness constraints. Our contributions are: (i) a standardized task and metrics capturing both goal accuracy and personal-space adherence; (ii) HAPS 2.0 dataset and simulators modeling multi-human interactions, outdoor contexts, and finer language-motion alignment; (iii) benchmarks on 16,844 socially grounded instructions, revealing sharp performance drops of leading agents under human dynamics and partial observability; and (iv) real-world robot experiments validating sim-to-real transfer, with an open leaderboard enabling transparent comparison. Results show that explicit social modeling improves navigation robustness and reduces collisions, underscoring necessity of human-centric approaches. By releasing datasets, simulators, baselines, and protocols, HA-VLN 2.0 provides a strong foundation for safe, human-aware navigation research.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 57 of its 84 references that are in the map. First posted on arXiv 18 Mar 2025.
Builds on
57 of 84 references.
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Citing papers per year: 2025: 2; 2026: 4.
6 papers.
- 2025Towards Unified World Models for Visual Navigation via Memory-Augmented Planning and Foresightcited by 11
- 2026Language-Conditioned World Modeling for Visual Navigationcited by 9
- 2025GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoningcited by 6
- 2026Rule-VLN: Bridging Perception and Compliance via Semantic Reasoning and Geometric Rectificationcited by 0
- 2026HCSG: Human-Centric Semantic-Geometric Reasoning for Vision-Language Navigationcited by 0
- 2026MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecastingcited by 0
- 2026MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting7 Oct 2026
- 2026HCSG: Human-Centric Semantic-Geometric Reasoning for Vision-Language Navigation13 May 2026
- 2026Rule-VLN: Bridging Perception and Compliance via Semantic Reasoning and Geometric Rectification18 Apr 2026
- 2026Language-Conditioned World Modeling for Visual Navigation23 Mar 2026
- 2025Towards Unified World Models for Visual Navigation via Memory-Augmented Planning and Foresight9 Oct 2025
- 2025GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning13 Aug 2025