Universal Robotics is uniquely qualified to provide flexible automation applications for random material handling tasks that are dangerous, difficult or costly. Due to unanticipated variation in SKU orientation and location, automated logistics solutions require 3D sensing, reactive control and spatial intelligence.
• Universal’s Spatial Vision Robotics uses 3D sensing approaches other than shape matching to identify deformable objects, like small mylar bags or large burlap sacks
• As the requirements for increased throughput and finer 3D accuracy become more rigorous, Universal’s Autonomy provides enhanced control of robots and delivers the needed performance
• Universal’s patented Neocortex provides intelligence for operational analysis or flexible machine control in chaotic environments, enabling identification of task patterns and manipulation of never-before-seen objects
Universal Robotics Random Box Mover and Mixed Depalletizer Applications are the industry’s first applications to handle up to 3 cases or boxes in any random orientation. These applications use a combination of Microsoft Kinect structured light sensor with two pairs of USB cameras for robust identification of any box size from 12″ x 12″ x 6″ up to 48″ x 48″ x 48″. These applications easily handle a box with a wide variety of different shipping or SKU labels, making it ideal for handling the variety found in a distribution center.
Universal Robotics brings expertise to enable identifying a wide range of deformable bags. Universal’s patent pending technology found in the Random Bag Picker application enables object recognition of highly reflective bags with or without labels, including partially filled clear bags. Whether the bags are black, white, Mylar or clear, this Random Bag Picker can locate the bag for real-time robot vision guidance.
Identifying complex parts randomly placed in a bin is a specialty of Universal Robotics. With the introduction of the Random Bin Picker application, Universal delivers a high-resolution structured light sensor combined with GigE cameras for 3D resolution down to 0.5mm. Random bin picking is often combined with part inspection prior to placing the part in the next step of the process.
Universal Robotics Random Part Inspector application delivers true 3D accuracy of at least +/- 0.5mm with a state-of-the-art structured light sensor and off-the-shelf GigE cameras. By delivering this accuracy over the robot’s immediate work area, rather than just at the end of the robot tool, Universal can inspect a wide range of items (e.g. 3D gap) as well as deliver qualitative assessments of large surfaces such as wood.