ORCAS: optimized robots configuration and scheduling system
In this paper, we study a distributed intelligent multi-robot system (MRS) in assembly setting where robots have partially overlapping capabilities. We treat the problem of the system's self-(re)configurability and self-optimization. In this light, we propose a distributed and optimized robots configuration and scheduling system ORCAS which integrates the MRS configuration based on semantic descriptions with process scheduling.