IR-SIM is a YAML-defined simulator for mobile robot navigation that supports text-prompt scenario creation, policy training, benchmarking, and bridging to higher-fidelity or real-world settings.
Frontiers in Robotics and AI8, 721317 (2022)
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Virtual evacuation study with 56 participants finds humans prefer robots that proactively use refuge niches to yield space, with a clear hierarchy over freezing or efficiency-focused strategies.
citing papers explorer
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IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking
IR-SIM is a YAML-defined simulator for mobile robot navigation that supports text-prompt scenario creation, policy training, benchmarking, and bridging to higher-fidelity or real-world settings.
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Beyond Collision Avoidance: Multi-Robot Yielding and Spatial Affordance in Emergency Evacuations
Virtual evacuation study with 56 participants finds humans prefer robots that proactively use refuge niches to yield space, with a clear hierarchy over freezing or efficiency-focused strategies.