An approach for task and action planning in Human–Robot Collaborative cells using AI

Human–Robot Collaborative (HRC) workcells aim to elevate the conventional industrial lines, by enabling seamless interaction between operators and machines. Shifting away from standard (mainly static) workcells, with machines following strictly defined limits schedules, new era of manufacturing introduces versatile workspaces, shared resources. The non-deterministic workflow such workspaces raises concerns over planning task actions among resources, as workcell is now a dynamic environment. Following these demands, this study solution in scheduling assignment assembly tasks both human robot aiming for effective emergence alternative task-resource sequences. proposed framework optimized provide human-centered approach on line alleviate exhaustive or unsafe tasks, while accounting environment changes, positioning resources parts. This tool was used use case modules sector. © 2020 Authors, Published Elsevier B.V. Peer review under responsibility scientific committee CIRP