OdorSpaces: Visual-Olfactory Embodied Navigation in 3D Environments
Overview
This paper presents OdorSpaces, a physics-based simulation platform and benchmark for visual-olfactory embodied navigation. It augments Habitat-Sim with 3D odor transport simulated by Fire Dynamics Simulator (FDS), enabling agents to navigate using both visual and olfactory observations. The benchmark covers two source-seeking scenarios: invisible gas-leak localization and early-stage fire localization. An initial multimodal reinforcement learning policy integrating visual and olfactory data over time is developed, showing superior performance against diverse baselines in these tasks.
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Environment: simulation
“arXiv:2611.05738v1 Announce Type: new Abstract: Olfaction provides critical information about airborne chemical cues, yet it remains largely underexplored in embodied AI, with limited prior machine olfaction work focusing primarily on semantic odor perception. We introduce OdorSpaces, a physics-based simulation platform and benchmark for visual-olfactory embodied navigation. OdorSpaces augments Habitat-Sim with 3D od”
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- arXiv Robotics — research abstractsSignalOdorSpaces: Visual-Olfactory Embodied Navigation in 3D Environments
This paper presents OdorSpaces, a physics-based simulation platform and benchmark for visual-olfactory embodied navigation. It augments Habitat-Sim with 3D odor transport simulated by Fire Dynamics Simulator (FDS), enabling agents to navigate using both visual and olfactory observations. The benchmark covers two source-seeking scenarios: invisible gas-leak localization and early-stage fire localization. An initial multimodal reinforcement learning policy integrating visual and olfactory data over time is developed, showing superior performance against diverse baselines in these tasks.
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