Robotic vision systems have dramatically enhanced the capabilities of industrial robots. Thanks to vision guidance, robots are able to execute complex picking and handling processes.
Shibaura Machine — formerly known as Toshiba Machine — is leading the way in the development of industrial robots that are deployable with both 2D and 3D machine vision systems. Among new developments is the THE range of SCARA robots, the latest SCARA robot range from Shibaura Machine.
Engineered for assembly and inspection processes, the THE series lends itself perfectly to applications that require precise vision systems. You can find the entire range — including the brand new THE800 and THE1000 models — on the TM Robotics website.
This robot range is compatible with Shibaura Machine’s TSVision3D, a 3D vision system designed for picking applications with unusual shaped items. TSVision3D incorporates two integrated high speed captures that collect real-time 3D images. The software registers the item without the need for complex CAD data, allowing a robot to pick non-uniform items without faults.
Myth busting: 2D vision for robotics
In some cases though, a 2D vision system is more suitable. In a recent webinar, TM Robotics and SICK debunked some of the most common myths related to 2D vision guided robotics. Broadcasted from Shibaura Machine’s North American headquarters near Chicago, the webinar included demonstrations of 2D vision guided robots, including examples of the Shibaura Machine THE600 SCARA and TVL700 6-axis robot.
You can rewatch the session for free here.
The TVL700 is one of Shibaura Machine’s flagship six-axis models. Developed for assembly and handling applications, the TVL boasts an aluminium extrusion cross-section, reducing the weight of the robot without compromising on strength. This model can integrate seamlessly with other manufacturing technologies, including the SICK vision system, as demonstrated in the webinar.
For more information on TM Robotics and the Shibaura Machine robot range visit www.tmrobotics.com
