PECMAN lets multiple robots share perception and morph their individual RRT* trees to replan paths in unknown environments, reducing team completion time by up to 52 percent with near-100 percent success in 28,000 simulations and real-robot tests.
RRT X: Asymptotically optimal single-query sampling-based motion planning with quick replanning
2 Pith papers cite this work, alongside 227 external citations. Polarity classification is still indexing.
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The authors outline a framework for converting human safety rules and preferences into formal logic constraints for vision-language model assisted robot navigation.
citing papers explorer
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PECMAN: Perception-enabled Collaborative Multi-Agent Navigation in Unknown Environments
PECMAN lets multiple robots share perception and morph their individual RRT* trees to replan paths in unknown environments, reducing team completion time by up to 52 percent with near-100 percent success in 28,000 simulations and real-robot tests.
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From Language to Logic: A Theoretical Architecture for VLM-Grounded Safe Navigation
The authors outline a framework for converting human safety rules and preferences into formal logic constraints for vision-language model assisted robot navigation.