Tingfan Wu
Tingfan Wu is a research scientist at FAIR Labs, Meta Platforms, where he works on tactile sensing, dexterous manipulation, and robot learning. He completed his PhD at UC San Diego and was previously affiliated with IHMC, where he contributed to the DARPA Robotics Challenge with the Atlas humanoid robot. He is best known for his work on vision-based tactile sensors, self-supervised touch representations, and methods for transferring human dexterity to robotic hands.
“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.”
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