Improving Robotic Bin-Picking Performances through Human–Robot Collaboration

The automation of bin-picking processes has been a research topic for almost two decades. General-purpose equipment, however, still does not show adequate success rates to find application in most industrial tasks. Human–robot collaboration bin–picking tasks can increase the rate by exploiting human perception and handling skills robot ability perform repetitive aim this paper, starting from general-purpose bin picking equipment comprising 3D–structured light vision system collaborative robot, consists enhancing its performance possible applications through human–robot collaboration. To achieve successful fluent collaboration, robotic workcell must meet some hardware software requirements that are defined below. proposed strategy is tested sample tests: results experimental tests functions be particularly useful overcome typical failures improve fault tolerance system, increasing flexibility reducing downtimes.