Best known for work on touch and dexterity (Sparsh, NeuralFeels, DexterityGen), robot perception (iSDF), differentiable optimization (Theseus), and motion planning (GPMP2, CLAMP). Published multiple papers including 'Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation' and 'Self-supervised perception for tactile skin covered dexterous hands', and gave invited talks at various international conferences.
Research Experience
Worked as the research lead of robot manipulation at FAIR (Meta) and is currently working at Amazon Robotics.
Education
Received a Ph.D. in Robotics from Georgia Tech.
Background
A researcher in Robotics and AI, working at Amazon Robotics on robot manipulation problems at scale. Previously, he was the research lead of robot manipulation at FAIR (Meta), where his team made state-of-the-art advances across robot dexterity and touch perception.