RightPick work cells feature integrated robotic piecepicking ideal for accurate, high throughput order fulfillment of pharmaceuticals.
The stationary robots reliably pick a range of variable items from a tote delivered by an automated storage and retrieval system or a conveyor. They use artificial intelligence software for machine learning, enabling them to grow smarter from experience.
Other features include an intelligent gripper, a vision system and software that evaluates an object based on all the other items it’s seen—such as fragile or heavy products—and directs the gripper to pick it with the correct amount of force and at the right angle so the item is not crushed or dropped.
It combines an intelligent gripper, computer vision, artificial intelligence and machine learning; handles a range of items; includes bar code identification, placement to an array of horizontal bin locations and integration with conventional put-to-light systems; allows conversion of existing manual put walls into robotic put walls; and easily scales and typically provides ROI in 18 to 24 months or less.
