Haozhi Qi
Haozhi Qi is a roboticist and Member of Technical Staff at Amazon Frontier AI & Robotics (FAR), where he works as an Applied Scientist II focused on dexterous manipulation. He received his Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley in 2025, advised by Prof. Yi Ma and Prof. Jitendra Malik, with a thesis on multisensory dexterity for robotics. He is best known for his research at the intersection of robot learning, computer vision, and tactile sensing, including work on in-hand object manipulation, visuotactile skills, and human-to-robot skill transfer using wearable sensing devices.
“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.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.