Mustafa Mukadam

Humanoid robots can now grasp and manipulate bulky objects using their entire bodies, achieving 90% success in complex repositioning tasks.

A single 500-hour visual-tactile dataset boosts zero-shot contact prediction from 13% to 38% IoU and quadruples robot manipulation success rates, proving scale and consistency are paramount for embodied learning.

Forget tactile simulation: PTLD distills real-world tactile sensor data into a robust state estimator that supercharges sim-trained manipulation policies.

Achieve 93% success in zero-shot sim-to-real transfer for contact-rich tasks by realistically simulating tactile shear, blowing away prior art.

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