AI RESEARCH
KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning
arXiv CS.AI
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ArXi:2602.04129v2 Announce Type: replace-cross Heterogeneous multi-robot systems are increasingly used in long-horizon missions requiring coordinated planning across diverse capabilities. However, existing planning approaches struggle to construct accurate symbolic representations and maintain plan consistency in dynamic environments. Classical PDDL planners require manually crafted symbolic models, while LLM-based planners often ignore agent heterogeneity and environmental uncertainty. We