Inspired by the "last inch" problem in robotic manipulation, the Kennedy group at Stanford has developed a tactile sensor and calibration method for machine-learning-based robotic manipulation.
Stanford researchers have developed a technique to interpret contact events between a human and a device equipped with a force sensor. It can detect and classify distinct touch interactions such as tap, touch, grab, and slip.
The Salisbury lab has developed a dexterous robotic hand with active fingertip surfaces for grasping and manipulation. Spherical or oblate graspers exhibit two coupled degrees of freedom, steering and rolling, allowing objects to easily be manipulated by the wheels.
Stanford researchers at the Salisbury Lab have prototyped a wearable, articulated robotic device that can be attached to a person at the hip or other location to augment human task productivity. This mechanical "third arm" has many uses such as assisting abled users (e.g.