Analyzing the Influence of Self-defined Trajectories on Safety and Task Ownership: An Empirical Study

With the advent of Industry 5.0, human-robot collaboration will change to increase the human involvement and agency in manufacturing. Thus, more user-friendly robot programming methods will be available to define robot trajectories. However, it is still not clear how this will affect the safety of the collaboration. This paper presents an initial investigation into the consequences of permitting users to customize robot motions on their acceptance and safety. The study enabled users to manually design their own trajectories using a spatial device, and then compared their acceptance and safety to those of pre-engineered trajectories. In both scenarios, speed and separation monitoring was utilized as operating mode. Data gathered from eight subjects indicate that user-defined trajectories can enhance acceptance while marginally increasing the distance between the human and the robot. In all instances, the minimum necessary safety separation distances were preserved. As a result, this research emphasizes the need for additional exploration to comprehend the implications of allowing non-experts to personalize robot tasks, as anticipated in Industry 5.0.     «

With the advent of Industry 5.0, human-robot collaboration will change to increase the human involvement and agency in manufacturing. Thus, more user-friendly robot programming methods will be available to define robot trajectories. However, it is still not clear how this will affect the safety of the collaboration. This paper presents an initial investigation into the consequences of permitting users to customize robot motions on their acceptance and safety. The study enabled users to manually...     »