Grasping Robot

Developing a more effective open world assistive grasping technique

Summary

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.

Year

2018 - 2019

(978) - 223 - 7137 | najah.aiman1@gmail.com