3D spatial vision provides flexible, scalable vision guidance
Motoman Robotics’ MotoSight 3D Spatial Vision System offers six degrees of position, pose information; multiple calibration settings; 2-4 mm accuracy.
MotoSight 3D Spatial Vision System by Motoman Robotics is a 3D vision system that delivers flexible and scalable real-time 3D vision guidance for Motoman robots. It is ideally suited to enhance part picking, box moving and automated kitting.
“MotoSight 3D Spatial Vision is a great step forward in 3D vision guidance for industrial robots,” said Roger Christian, Vice President Marketing and International Groups at Motoman Robotics. “Powered by Universal Robotics’ Spatial Vision Robotics software, we are now able to offer 3D vision guidance at 2D prices that can be customized to a user’s needs. We are excited to partner with Universal Robotics to bring this solution to market.”
The MotoSight 3D features an alignment wizard that walks the user through a simple process of calibrating the cameras and robot, and then loading standard CAD files of parts the system should track. The calibration files can interface to C, C++ or MATLAB robotic real-time control programs.
MotoSight 3D Spatial Vision uses world-class pattern matching to determine true 3D for six degrees (X, Y, Z, Rx, Ry, Rz) of position and pose information. It offers guided intrinsic (camera/camera) and extrinsic (camera/robot) calibration. The vision system provides 2-4 mm accuracy at typical robot working distance using off-the-shelf Logitech 9000 webcams. GigE cameras can be used to improve accuracy. MotoSight 3D Spatial Vision’s accuracy is achieved through advanced vision processing of raw images for image rectification, Laplacian of Gaussian and dense stereopsis for full-frame depth maps.
“The 3D vision market has long struggled with very expensive systems that require specialized equipment and are difficult to install, scale or customize,” said David Peters, CEO of Universal Robotics. “With our Spatial Vision Robotics software, Universal Robotics created a unique solution to these challenges: an accurate and easy-to-install 3D vision system that uses off-the-shelf cameras and costs a fraction of traditional systems. Together with Motoman, we have created a 3D guidance system for industrial robots that enhances several facets of materials handling.”
Motoman Robotics
- Edited by Gust Gianos, Control Engineering, www.controleng.com
Integrator Guide
| Search the online Automation Integrator Guide |
|
|
|
|
Visit the System Integrators page to view past winners of Control Engineering's System Integrator of the Year Award and learn how to enter the competition. You will also find more information on system integrators and Control System Integrators Association.
Case Study Database
Get more exposure for your case study by uploading it to the Control Engineering case study database, where end-users can identify relevant solutions and explore what the experts are doing to effectively implement a variety of technology and productivity related projects.
These case studies provide examples of how knowledgeable solution providers have used technology, processes and people to create effective and successful implementations in real-world situations. Case studies can be completed by filling out a simple online form where you can outline the project title, abstract, and full story in 1500 words or less; upload photos, videos and a logo.
Click here to visit the Case Study Database and upload your case study.















