Safe household navigation requires robots to regulate clearance and speed according to what an obstacle is and how close it is, without unnecessary conservatism. Yet existing evaluations do not test w
The study introduces a benchmark and metric to evaluate whether robot navigation policies adapt continuous motion to obstacle safety semantics, revealing a gap in translating semantic caution into safe movement.
Safe household navigation requires robots to regulate clearance and speed according to what an obstacle is and how close it is, without unnecessary conservatism. Yet existing evaluations do not test whether semantic safety distinctions are reflected in continuous motion. To that end, we introduce OSMA-Bench, an Obstacle-Conditioned Safe Motion Adaptation Benchmark built on spatially matched scenario sets that differ only in obstacle type. We also propose the Semantic Sensitivity Index (SSI), which measures whether clearance and distance-dependent speed and smoothness follow the caution ordering of obstacles. Evaluating VLM-based and vision-language-action (VLA) policies on the benchmark,…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
Benchmarking Obstacle-Conditioned Safety in Household Robot Navigation was first seen on Hugging Face · Daily papers on Oct 29, 2026. Since then it has appeared in 12 checks on 2 different days. Its best position was #19 of 30, reached on Oct 30, 03:28 UTC. It dropped off the list after Oct 30, 03:28 UTC.
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Not at the moment. It was last on the list on Oct 30, 03:28 UTC, after 2 days of trending.
#19 on Hugging Face · Daily papers, on Oct 30, 03:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 29, 2026 and has been on the list on 2 days (12 checks) since.