SOURCE-LINKED INTELLIGENCE
Probabilistic Multi-Robot Gas Source Localization with Uncalibrated Sensors: A Distributed Estimation Approach
Estimating environmental states with multi-robot systems becomes particularly challenging when robots are equipped with uncalibrated and therefore heterogeneous sensors, whose nonlinear and inconsistent responses prevent reliable information fusion. In this paper, we propose a distributed probabilistic framework for source localization tasks that enables calibration-free estimation in the presence of sensor heterogeneity. The key idea is that each robot independently estimates a local belief using a rank-based feature that captures the relative evolution of observations and is invariant to sen
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T11:32:53.000Z
First collected: 2026-09-21T08:21:55.975Z. This is not the publication date.