[Case Study] Mazda Corporation

We have achieved the transfer of crankshafts without collisions or gripping failures between robots and workpieces!

At Mazda Corporation, a robot for transferring cranks stacked in a grid has been equipped with a 3D vision camera (YCAM3D) and 3D vision software (VT: Visual Teach). Thanks to the capabilities of VT: Visual Teach, we have achieved the transfer of crankshafts without collisions or gripping failures by accurately determining the robot's gripping position and posture. *For more details, please watch the video or feel free to contact us.

Related Link - http://www.forks.co.jp/index.html

basic information

【Features】 ■ No need to purchase expensive positioning devices ■ Improved productivity by suppressing production line stoppages due to workpiece misalignment ■ No need to worry about the orientation of the workpiece when gripping it ■ After installing this system, when adding new workpieces or repurposing to a different line, simply register the robot language modifications and the new workpiece's 3D data as a master ■ Unlike general vision systems, if the control of the robotic arm is done using traditional robot language teaching and playback methods, the system will correct the misalignment of the workpiece from the taught position *For more details, please watch the video or feel free to contact us.