Reinforcement Learning Framework for Dynamic Task Allocation in Multi-Robot Systems with Infeasible Transport Tasks
The proposed framework enables multi-robot systems to efficiently transport objects by dynamically allocating tasks, excluding infeasible tasks, and coordinating cooperative transport without prior knowledge of object weights.