Abstract: This paper presents a novel hybrid framework that combines Dynamic Spanning Tree Coverage (D-STC) with Q-learning to address the challenges of mobile robot navigation and coverage in dynamic ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
Abstract: Many multi-robot deployments, such as automated construction of buildings, distributed search, or cooperative mapping, often require agents to intelligently coordinate their trajectories and ...
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