Deepak Pathak
Deepak Pathak is the Raj Reddy Assistant Professor in the School of Computer Science at Carnegie Mellon University, where he is a member of the Robotics Institute and affiliated with the Machine Learning Department. He is also the co-founder and CEO of Skild AI, a company developing foundation models for robotics. His research spans computer vision, machine learning, and robotics with a focus on building general-purpose embodied intelligence, and he is known for work on dexterous manipulation including the LEAP Hand and force-aware policy learning. He received his Ph.D. from UC Berkeley and his bachelor's from IIT Kanpur, and is a recipient of the Sloan Fellowship and MIT TR 35 under 35 Award.
“NEXT (Neural External Torque Estimation) trains a small LSTM on 10 minutes of free-motion data — no contact, no labels, no force sensor required — and achieves external torque estimation accuracy of 0.547 ± 0.348 Nm L1 error during contact on a Franka arm”
Source→“Deepak Pathak | Carnegie Mellon University | Senior PI on the paper and a central figure in Physical AI at CMU. Pathak's lab has produced a consistent line of work on dexterous manipulation, LEAP Hand, and now force-aware policy learning.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.