Plastic parts are picked from a conveyor using visual tracking. No conveyor encoder is used, simplifying mechanical complexity. The two totes are visually located, enabling accurate placement without fixturing.
Demonstrates: picking-in-motion, sorting, and visual placement.
Metal parts are picked from several bins and identified using template matching. Pick locations are defined during training to ensure proper suction while avoiding holes in the parts. Arm-mounted vision enables bin picking from multiple bins using a single robot.
Demonstrates: visual picking and visual placement.
Beverage four-packs are tightly packed into a carton that is visually located, requiring no fixturing. Visual tracking enables the cans to be picked while in motion on the conveyor. The carton may be nudged when placing the cans, but the VIM-303 camera compensates by locating the carton after each placement.
Demonstrates: picking-in-motion and visual placement.
Plastic pipe fittings are picked from a conveyor using visual tracking and sorted into bins based on part identity.
Demonstrates: picking-in-motion and sorting.
A pallet containing two different box sizes is depalletized and sorted onto separate conveyors. The boxes are plain brown cardboard with no distinguishing features, a common challenge for vision systems. They are identified using template matching based on size and shape.
Demonstrates: depalletizing of closely spaced boxes of different sizes.
A single operator unloads boxes from a truck onto a roller conveyor, while the robot handles palletizing. The robot picks boxes from the end of the conveyor and sorts them by size onto two pallets.
Demonstrates: visual picking and sorting of different-sized boxes.
The robot visually locates boxes of varying sizes from a roller conveyor, a cart, and a standard conveyor, then sorts them by size onto separate pallets.
Demonstrates: visual picking and sorting across a wide variety of input configurations.
Products are picked from a shelf, identified using template matching, and placed into a tote. Objects can be picked and placed in any orientation, supporting both machine tending applications, such as part placement into lathes or CNC machines, and logistics tasks like order fulfillment.
Demonstrates: omnidirectional visual picking and placement.
Plastic parts are picked from a conveyor using visual tracking. No conveyor encoder is used, simplifying mechanical complexity. The two totes are visually located, enabling accurate placement without fixturing.
Demonstrates: picking-in-motion, sorting, and visual placement.
Metal parts are picked from several bins and identified using template matching. Pick locations are defined during training to ensure proper suction while avoiding holes in the parts. Arm-mounted vision enables bin picking from multiple bins using a single robot.
Demonstrates: visual picking and visual placement.
Beverage four-packs are tightly packed into a carton that is visually located, requiring no fixturing. Visual tracking enables the cans to be picked while in motion on the conveyor. The carton may be nudged when placing the cans, but the VIM-303 camera compensates by locating the carton after each placement.
Demonstrates: picking-in-motion and visual placement.
Plastic pipe fittings are picked from a conveyor using visual tracking and sorted into bins based on part identity.
Demonstrates: picking-in-motion and sorting.
A pallet containing two different box sizes is depalletized and sorted onto separate conveyors. The boxes are plain brown cardboard with no distinguishing features, a common challenge for vision systems. They are identified using template matching based on size and shape.
Demonstrates: depalletizing of closely spaced boxes of different sizes.
A single operator unloads boxes from a truck onto a roller conveyor, while the robot handles palletizing. The robot picks boxes from the end of the conveyor and sorts them by size onto two pallets.
Demonstrates: visual picking and sorting of different-sized boxes.
The robot visually locates boxes of varying sizes from a roller conveyor, a cart, and a standard conveyor, then sorts them by size onto separate pallets.
Demonstrates: visual picking and sorting across a wide variety of input configurations.
Products are picked from a shelf, identified using template matching, and placed into a tote. Objects can be picked and placed in any orientation, supporting both machine tending applications, such as part placement into lathes or CNC machines, and logistics tasks like order fulfillment.
Demonstrates: omnidirectional visual picking and placement.