1 citations · 3 across the 4 of their papers we have counts for
4 papers
Combining and Decoupling Rigid and Soft Grippers to Enhance Robotic Manipulation
Maya Keely, Yeunhee Kim, Shaunak A. Mehta +6
For robot arms to perform everyday tasks in unstructured environments, these robots must be able to manipulate a diverse range of objects. Today's robots often grasp objects with e…
Aligning Learning with Communication in Shared Autonomy
Joshua Hoegerman, Shahabedin Sagheb, Benjamin A. Christie +1
Assistive robot arms can help humans by partially automating their desired tasks. Consider an adult with motor impairments controlling an assistive robot arm to eat dinner. The rob…
Reward Learning with Intractable Normalizing Functions
Joshua Hoegerman, Dylan P. Losey
Robots can learn to imitate humans by inferring what the human is optimizing for. One common framework for this is Bayesian reward learning, where the robot treats the human's demo…
RISO: Combining Rigid Grippers with Soft Switchable Adhesives
Shaunak A. Mehta, Yeunhee Kim, Joshua Hoegerman +2
Robot arms that assist humans should be able to pick up, move, and release everyday objects. Today's assistive robot arms use rigid grippers to pinch items between fingers; while t…