Robots learn human-like movement adjustments to prevent object slipping

Robots learn human-like movement adjustments to prevent object slipping

To effectively tackle a variety of real-world tasks, robots should be able to reliably grasp objects of different shapes, textures and sizes, without dropping them in undesired locations. Conventional approaches to enhancing the ability of robots to grasp objects work by tightening the grip of a robotic hand to prevent objects from slipping.

Robots Master Human-Like Grip to Prevent Slipping Objects - Archyworldys

Robotics Grip Challenge: New Strategies for Reliable Object Handling New York, NY – A fundamental hurdle in the advancement of robotics –… The post Robots Master Human-Like Grip to Prevent Slipping Objects appeared first on Archyworldys.