DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. (arXiv:2209.02865v1 [cs.RO])

We present a novel reinforcement learning (RL) based task allocation and
decentralized navigation algorithm for mobile robots in warehouse environments.
Our approach is designed for scenarios in which multiple robots are used to
perform various pick up and delivery tasks. We consider the problem of joint
decentralized task allocation and navigation and present a two level approach
to solve it. At the higher level, we solve the task allocation by formulating
it in terms of Markov Decision Processes and choosing …

arxiv decentralized environments navigation robot