Multi-Objective Task Allocation and Path Planning in Heterogeneous Multi-Robot Systems Using Hierarchical Framework and Reinforcement Learning
This study proposes a multi-objective optimization-based framework for task allocation and path planning to address the challenges faced by multi-robot systems in transport-oriented task environments. The framework considers robot capability heterogeneity and load capacity, aiming to minimize task execution time and ov...