The Deep-Learning Depalletizing Robot

The Deep-Learning Depalletizing Robot – To the bottom of a pallet, and beyond

Pick is the world’s first deep-learning based solution designed for robotic depalletizing – specifically the depalletizing of multi-SKU and single SKU pallets. The Pick System is easy to configure using a browser-based GUI, minimizing integration time. It integrates high resolution 3D and 2D sensing to locate a wide variety of boxes and interleaves motion and vision, maximizing pick rates.

Mobile Box Handling Robots for Logistics

Mobile Box Handling Robots for Logistics

Handle combines agility and the ability to pick boxes to tackle box handling tasks in the warehouse.

Handle is a robot that uses legs and wheels to provide highly agile and small-footprint material handling solutions for logistics. Using an active counterbalancing system, Handle can pick up and move cases weighing over 30lbs. Its versatile design allows it to tackle pallet building, depalletizing and truck unloading tasks in the warehouse – all in one robot.

Handle’s design combines the same dynamics, balance and mobile manipulation characteristics of quadruped or humanoid robots, but in a significantly simplified system. The combination of power and agility make Handle capable of automating difficult manipulation tasks in human-sized environments without the need for installing complicated additional equipment.