Jun Lv

LIFT accelerates learning in vision-language-action policies by injecting reactive force feedback, achieving superior performance in contact-rich tasks.

Robots can now learn complex manipulation tasks directly from human demonstrations using only a pair of smart glasses, achieving zero-shot transfer without specialized hardware.

Imagine fixing your robot's mistakes *before* it even makes them: RoboPocket lets you train robots twice as efficiently using just your smartphone and AR.

Fisheye cameras in robotics offer superior scene generalization, but only if you train them with enough environmental diversity to avoid overfitting.