Jitendra Malik

“The core contribution is a $300 wristband that captures surface electromyography (sEMG) signals from the forearm and converts them into per-finger force estimates, enabling force-enriched human demonstrations without instrumenting the fingertips.”

“Jitendra Malik. UC Berkeley. Legendary computer vision researcher, co-inventor of foundational vision algorithms. His involvement in this paper — alongside the SAM 3D and HaWoR tools developed in his extended research group — reflects a deepening convergence between classical vision and physical robot learning.”

“Jitendra Malik — UC Berkeley. One of the most cited figures in computer vision and robot learning. Co-author and senior contributor.”

“This paper solves a critical problem in tactile sim-to-real transfer — how to extract rich contact information from touch sensors without the signal collapsing when you move from simulation to hardware. The answer is a physics-grounded intermediate representation called Center-of-Pressure (CoP) that achieves zero-shot sim-to-real transfer on a 16-DOF hand doing precision manipulation, with no real-world training data required.”

“Co-author; referenced in prior work citations [34, 35] which established the proprioceptive RMA framework that CoP extends.”