Qin Lin

Neural-ESO achieves unprecedented operational reliability in learning-based control by balancing predictive neural networks with traditional error correction methods.

Achieving millimeter-level tracking accuracy and real-time safety guarantees in robotic manipulation, even under dynamic uncertainties, could redefine standards for safe human-robot interaction.