Failing drive parts are detected before abnormalities in robot behavior become apparent. Downtime of production equipment is reduced.
Tracking the robot's operating status helps managing the robot's condition. Maintenance is now even more efficient.
Parameters for the optimum operation pattern are found by training in a short amount of time. Set-up and tact times of a force sensor are reduced.
Reduced startup time of the MELFA-3D vision thanks to automatic parameter adjustments which utilize our proprietary AI technology "Maisart".
Easy set-up of 2D vision sensors and improved job precision. Time-consuming teaching is automated improving also the accuracy.
Coordinated operation between the robot and an additional axis makes it possible for the robot to work on workpieces that exceed its operating range.
Compensates for thermal expansion of the robot arm to increase position accuracy.