Grasping Robot

Developing a more effective open world assistive grasping technique


Using open world assistive learning and a new design grasp detection algorithm, we can achieve a success rate of 90% in a non-mobile scenario and 72% in a mobile scenario in picking up irregularly shaped objects. This project explores the potential of under actuated grippers, such as the Yale Open Hand, to improve these grasping success rates.


2018 - 2019

(978) - 223 - 7137 |