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Vision-guided cobot automates paint process for DENSO
- CapSen Robotics partnered with DENSO and Invent Automation to automate a tote handling task to free up human workers for more impactful work.
- The automating of a tote handling task involving loading and unloading stacks of heavy totes was identified as an opportunity for automation by DENSO for improved team member and company performance.
- An inbound conveyor transports totes of unpainted objects to a six-axis collaborative robot with a 3D RBG vision camera attached to its end effector.
- CapSen PiC 2.0 software allows the robot to visually identify and measure the tote’s height for picking, plan its motion, locate, pick, and manipulate the tote which is then transported toward another conveyor headed to the paint booth station.
- The lightweight robot must pick up large totes without causing collisions and with fluid motion, and CapSen Robotics customized its AI algorithms and models based on production task data to optimize motion and ensure smooth transfer of tote within cycle time.
- Machine-learning algorithms helped to look for a gap between two totes and ensure proper stacking, while the amount of torque by which the motor acts on part of the tote is measured to determine the weight for picking.
- The CapSen PiC 2.0 software was chosen as the solution for the project for it allows end users to fully use all the data coming from different pieces of system hardware without the need for automation or engineering expertise.
- The flexible and compact system can be expanded or retrofitted to other applications or made mobile with an AMR.
- Since the system was installed, the robot has not dropped one tote or missed one pick.
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