Learning to Master Robotic Arm Movements with Bimanual Joystick Control: Indicators for Evaluating the Difficulty of Movement Tasks

Manual control of robotic arms is challenging and productive operators require extensive prior training. Effective training should systematically vary the difficulty level robot arm motions. This study investigates extent to which Fitts’ law could define movement for bimanual controlled movements arms. Inspired by forestry work-methods, we designed tapping Task assess time throughput ten unskilled participants over nine sessions. We found that observe reaching in depth but deviate lateral concentric movements. In other words, can utilize forward Further studies on are necessary refine work methods improve