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Generative and Greedy Routing Heuristics for Heterogeneous Multi-Robot Harvesting under Fuel and Size Constraints

Lee, Hyeseon et al.
Digital Commons @ Michigan Tech · Papers
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large-language-modelspath-planning
Coordinating heterogeneous multi-robot systems for agricultural harvesting presents significant challenges due to operational constraints, dynamic environments, and varying robot capabilities. This paper addresses these challenges by proposing two practical solution strategies: (1) a constraint-awar
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