The Grasping Neural Process trains robots to infer invisible physical properties from a history of attempted grasps, and then use the inferred properties to guess which grasps would work well in the future.
Engineers at Queen Mary University here have developed a sensor that enhances tactile capabilities in robots, allowing them to “feel” objects and adjust grip accordingly.
Engineers at North Carolina State University have developed a robotic gripper that is gentle enough to pick up a drop of water, strong enough to pick up a 14-pound weight, dexterous enough to fold a cloth, and precise enough to pick up strips of film that are 20 times thinner than a human hair.
Automation Assembly tasks often present challenges! A lot happens in a small space - fast cycle times and high-quality finished product is paramount. Schunk offers some suggestions for common challenges.
ROSEMONT, IL—Zimmer Group US Inc. showcased its innovative robotic gripper technology at the recent Assembly Show here with a special booth that featured a Tesla Model 3 sedan.
MyAppCafé is a fully automated robotic barista. The machine is the brainchild of caterer and entrepreneur Michael Stille of Karlsruhe, Germany, who envisioned a fully automated system for vending coffee at catered events and trade shows.
