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Amazon just announced a successful trial of its Vulcan robot in a German distribution center. This is news from the perspective that the robot arm handles dexterity very well. Unlike human hands a machine cannot feel an item. It's easy to crush something or to drop it. How did Amazon figure it out? Let's take a look. Vulcan is designed to stow and pick items in Amazon's mobile robotic inventory system. The retailer started a few years ago with its Sparrow system which has since evolved to handle over half a million different items. The retailer stows 14 billion items in its warehouses each year and aims to handle 80% of it through robots at 300 items per hour and 20 hours per day. Problems such as maximizing bin density remain, but the company is progressing. Its robots already work faster than humans. On the picking side, as mentioned, the issue has always been how to grab something gently. Vulcan's dexterity is based on a combination of force-feedback sensors, physical AI, and specialized end-of-arm tooling that, taken together, provide a sense of touch. Essentially, it handles a wide range of items with human-like finesse. The sensors measure force and adjust pressure accordingly. The end-of-arm tool uses a ruler to sort things. Vulcan also leverages a camera and suction cup. The camera identifies a target item and the best spot to grip, then monitors the process to ensure only the correct item is picked. Lastly, the system continuously learns so that each mistake improves the system through lessons that are propagated to all machines for future picks. Other companies including Tesla (Optimus), Google (ALOHA) and Boston Dynamics (Atlas) are also making quick progress in this area. Dexterity is a necessary capability enabling most use cases for robots. Once we reach it, things may well change quickly in factories, warehouses and eventually homes. #supplychain #truckl #innovation