Abstract
The massive exploitation of robots for Industry 4.0 needs advanced wireless solutions that replace more costly wired networks. In this regard, millimeter-waves (mm-waves) can provide high data rates, but they are characterized by a spotty coverage requiring dense radio deployments. In such scenarios, coverage holes and numerous handovers may decrease the communication throughput and reliability. In contrast to conventional multi-robot path planning (MPP), we define a type of multi-robot association-path planning (MAPP) problems aiming to jointly optimize the robots' paths and the robots-access points (APs) associations. In MAPP, we focus on minimizing the path lengths as well as the number of handovers while sustaining the wireless connectivity of the robots. We propose an algorithm that can solve MAPP in polynomial time presenting results close to the global optimum. The proposed solution is able to guarantee the robots' connectivity and to dramatically reduce the number of handovers in comparison to minimizing only the path lengths.
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