7 citations · 14 across the 4 of their papers we have counts for
4 papers
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Kenneth Shaw, Ananye Agarwal, Deepak Pathak
Dexterous manipulation has been a long-standing challenge in robotics. While machine learning techniques have shown some promise, results have largely been currently limited to sim…
Designing Anthropomorphic Soft Hands through Interaction
Pragna Mannam, Kenneth Shaw, Dominik Bauer +3
Modeling and simulating soft robot hands can aid in design iteration for complex and high degree-of-freedom (DoF) morphologies. This can be further supplemented by iterating on the…
VideoDex: Learning Dexterity from Internet Videos
Kenneth Shaw, Shikhar Bahl, Deepak Pathak
To build general robotic agents that can operate in many environments, it is often imperative for the robot to collect experience in the real world. However, this is often not feas…
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
Aravind Sivakumar, Kenneth Shaw, Deepak Pathak
We build a system that enables any human to control a robot hand and arm, simply by demonstrating motions with their own hand. The robot observes the human operator via a single RG…