Multi-Agent Off-World Exploration for Sparse Evidence Discovery via Gaussian Belief Mapping and Dual-Domain Coverage
Multi-Agent Off-World Exploration for Sparse Evidence Discovery via Gaussian Belief Mapping and Dual-Domain Coverage explores A multi-agent robotic exploration framework using Gaussian belief mapping for efficient and safe evidence discovery in sparse, hazardous environments.. Commercial viability score: 7/10 in Robotics.
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