Max Robotics — Global Service Robot Directory + US Certification

About

Xuming Tang is a leading researcher in the field of intelligent robotics for power distribution systems, specializing in live-line operation robots that replace human workers in high-voltage, high-altitude environments. His major contributions center on developing advanced perception, control, and teleoperation systems that enable robots to perform complex maintenance tasks safely and efficiently. Tang pioneered the integration of stereo camera-based 3D perception, deep visual-guided reinforcement learning for multi-peg-in-hole assembly, and bilateral teleoperation hybrid control systems with haptic feedback. His work on graphical force and haptic feedback teleoperation, with 14 citations, significantly improved operator sensitivity and precision during remote manipulation. Among his most impactful publications, his 2023 paper on intelligent power distribution live-line operation robot systems has garnered 31 citations, while his 2024 deep reinforcement learning algorithm for assembly tasks has already accumulated 16 citations. Tang’s research addresses critical challenges in visual servo positioning, sparse disparity target measurement, and haptic virtual fixtures, collectively advancing the safety and autonomy of power grid maintenance. His innovative approaches have established him as a key contributor to the evolution of robotic systems for critical infrastructure, making high-risk electrical work safer and more efficient.