Robotic piece picking is the process of automated order fulfillment, picking various individual items (SKUs) from an inventory bin and place them in an order container for shipping to customers. The choice of the vision system and, in particular, the 3D camera impacts the robot’s ability to successfully detect, pick, and place all types of pieces.
See tiny and detailed objects, densely stacked, or randomly arranged.
See shiny, reflective, glossy, and plastic wrapped objects.
The unique combination of native color and high dynamic range enables imaging of a broad range of SKUs
Up to 1200 pieces/hour for small objects
Up to 800 pieces/hour for large objects
|Objects||Support objects in different sizes and shapes (cartons, boxes, bags, sacks, various express parcels, etc.).|
|Robot Brands||Can be adapted to various mainstream robot brands, such as ABB, KUKA, YASKAWA, Kawasaki, Rokae, Peitian, Techman, Estun, etc.|
One-click simulation on the left side of the software. Users can intuitively see the robot's motion path, recognition results and collision model.
The right side is the robot operation process, which is easy to learn to operate.
Different from traditional code-based programming software, Mech-Viz is a graphical and visualized programming environment.
Built-in path planning, collision detection, and grasping strategy, and other intelligent algorithms help the robot plan the optimal route and avoid collision.
With Mech-Viz, users can manipulate robots after simple training.
Our solutions can be adapted to various mainstream robot brands.