Impact of Robotic Hand on Pick-and-Place Performance
NISTis developing metrics and test methods to benchmark the performance of roboticsystems when performing manufacturing tasks. Here, the speed and dexterity of pick-and-place robotic systems areassessed using a variant of the Minnesota Dexterity Test, a test designed tomeasure human capability for relatively simple hand-eye coordination. Thisvideo demonstrates a slight modification to the original displacement test,where puck-like objects are displaced one-by-one across the entirety of theboard and placement accuracy is quantified via a set of concentric circles thatindicate a target zone. With completion time and placement accuracy as theprincipal measures of performance, a robotic system conducts the test with twodifferent robotic hands to quantify and compare their effects on the overallsystem performance.
May 22, 2017