Max Robotics — Global Service Robot Directory + US Certification

About

Aiqiang Pan is a leading researcher in the field of intelligent robotics, with a specialized focus on live working robots for overhead power line maintenance. His work centers on solving critical challenges in dual-manipulator motion path planning and intelligent control systems. Pan’s major contributions include pioneering the use of hybrid RRT algorithms to improve the success rate and convergence speed of dual-manipulator path planning, addressing long-standing issues of path discontinuity and instability. He has also advanced the field by proposing novel reverse splitting and local interpolation methods to optimize path smoothness and reduce redundant nodes. Additionally, Pan has developed intelligent control frameworks that leverage cloud and edge computing terminals, enabling high-precision AI algorithms to operate in complex, real-world working scenes. His research, though highly specialized, has garnered citations from peers working on robotic manipulation and autonomous systems. Pan’s work is particularly notable for its practical applications in live-line maintenance, where his algorithms enhance the safety, efficiency, and autonomy of robots operating in hazardous environments. His contributions are essential reading for researchers and students interested in robotic path planning, intelligent control, and the integration of cloud-edge computing in robotics.