Houcheng Li

Achieving 96.3% accuracy in texture recognition with a neuromorphic system that consumes just 19.6 mW challenges the conventional power-performance trade-offs in robotic perception.

A novel variable impedance control framework for exoskeletons not only enhances task adaptability but also ensures safety through stability constraints derived from Lyapunov theory.

Tactile feedback, when strategically sampled and evaluated, unlocks robust and safe robotic insertion policies even under sub-millimeter tolerances.