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1 janv. 2020 · Coordination of these multiple robots needs systematic methodologies to design and analyze cooperative strategies to control multi-robot systems. To further illustrate the mechanism behind the whole system, Fig. 2 shows an integrated multi-robot coordination framework.
10 juil. 2023 · We propose a novel approach to multi-robot collaboration that harnesses the power of pre-trained large language models (LLMs) for both high-level communication and low-level path planning. Robots are equipped with LLMs to discuss and collectively reason task strategies.
29 févr. 2024 · Considering certain real-world applications and to further promote its development, we propose a new benchmark to evaluate multirobot collaboration in target trapping environment (T2E). In T2E, two kinds of robots (called captor robot and target robot) share the same space.
1 nov. 2021 · In this work, we build upon recent advances in multi-robot task planning under uncertainty and integrate diverse state-of-the-art robot capabilities into a comprehensive framework for automated task decomposition, allocation, and execution.
Collaborative Simultaneous Localization and Mapping (C-SLAM), commonly known as multi-robot SLAM, is a prefatory technology that allows multiple robots to efficiently traverse large and intricate areas. This is possible due to the merging of maps and the recognition of shared spaces.
27 sept. 2023 · In this work, we compare the task success rate and token efficiency of four multi-agent communication frameworks (centralized, decentralized, and two hybrid) as applied to four coordination-dependent multi-agent 2D task scenarios for increasing numbers of agents.
29 oct. 2022 · The collaboration of heterogeneous robots is a hot topic in multi-intelligent agents, characterized by wide-area coverage and high environmental adaptability. Compared with a single-intelligent agent, multi-intelligent agent collaboration presents superior data matching, system redundancy, and robustness. At the same time, the ...
