Max Robotics — Global Service Robot Directory + US Certification

About

Xiaoming Mai is a leading researcher in robotics for critical infrastructure, specializing in inspection and maintenance robots for the power industry. Their work spans three interconnected domains: pipeline and substation inspection robots, teleoperation systems for live-line maintenance, and semantic SLAM for dynamic environments. Mai’s major contributions include developing an improved PSO algorithm for adsorption robot control (22 citations), which optimizes PID parameters for pipeline inspection in gas-insulated switchgear. They also pioneered an image-based accurate alignment method for substation inspection robots, addressing the limitations of laser-based SLAM in complex scenes. In teleoperation, Mai designed an impedance-control framework for hot-line work robots, enabling safe, remote maintenance of live electrical equipment. Their recent work on CS-SLAM introduces a lightweight semantic SLAM method that handles dynamic scenarios, a critical advancement for real-world robot deployment. With over 40 total citations across eight papers, Mai’s research has direct industrial impact, improving safety and efficiency in high-risk environments. Their 2025 work on SDG-CSNet further advances real-time detection of substation equipment, showcasing ongoing innovation in intelligent power system monitoring.