Max Robotics — Global Service Robot Directory + US Certification

About

Qisong Zhang’s research lies at the intersection of mobile robotics, multi-robot coordination, and intelligent control systems. His most influential work, “Robot motion planning based on improved artificial potential field” (2013, 21 citations), addresses a foundational challenge in robotics—path planning—by enhancing the artificial potential field method to enable safer and more efficient navigation for mobile robots. This contribution has been cited by peers working on autonomous navigation and obstacle avoidance. Zhang has also advanced the field of multi-robot cooperation, exploring how teams of robots can stalk and capture targets using finite state machines and virtual reality simulations. His studies on multi-robot rounded-up strategies and cooperative capture (2012–2013) demonstrate a systematic approach to complex, coordinated tasks. Beyond robotics, Zhang has contributed to educational innovation, examining how big data and AI transform financial management curricula (2020). His work bridges technical robotics research with practical applications in education, reflecting a broad interest in how intelligent systems reshape both engineering and learning environments. With a career spanning over a decade, Zhang’s research continues to inform developments in autonomous systems and multi-agent coordination.