Improvement Human-Robot Collaboration in Collaborative Assembly Processes: A Genetic Algorithm-Based Task Scheduling Approach

In collaborative assembly processes, effective task scheduling is a corner-stone of organizational ergonomics, profoundly impacting productivity and the quality of human-robot interactions within a workplace setting. While various approaches to task planning in the Human-Robot Collaboration HRC have emerged in recent years, there is still a need for improvement, especially in terms of applicability to small and medium-sized enterprises SMEs, which typically have limited resources. This Paper presents a dynamic scheduling approach using genetic algorithms GA that addresses the challenge of harmonizing human and robot workloads, accounting for factors such as task interdependencies, skill prerequisites, and ergonomic considerations. To enhance accessibility from SMEs users, a user-friendly graphical interface GUI has been meticulously designed and integrated into the system. The developed approach was evaluated in a real use case. This demonstrated its particular performance with a 18% reduction in cycle time, which confirms its ability to improve collaboration between humans and robots.