Max Robotics — Global Service Robot Directory + US Certification

About

Xieping Gao is a leading researcher in robotics and intelligent control systems, with a primary focus on redundancy resolution, model-free control, and visual servo techniques for robotic manipulators. His most impactful work introduces a **Fixed-Time Robust ZNN Model with Adaptive Parameters** (2024, 23 citations), which leverages zeroing neural network dynamics to solve complex redundancy resolution problems in manipulators, offering superior robustness and convergence speed. Gao has further advanced the field by developing a **Data-Based Model-Free Predictive Control System** (2025) that integrates MPC principles with zeroing neurodynamics for precise pose tracking of robotic arms, overcoming traditional dependencies on accurate model parameters. In the medical robotics domain, he proposed an **Uncalibrated Model-Free Visual Servo Control** (2025) for robotic endoscopic surgery under RCM constraints, using neural networks to eliminate the need for precise kinematic models and camera calibration. His work consistently pushes toward adaptive, robust, and model-independent solutions, making significant contributions to both industrial and surgical robotics. With a growing citation impact, Gao’s research is shaping the next generation of intelligent, autonomous robotic systems.