Max Robotics — Global Service Robot Directory + US Certification

About

Xuehao Sun is a leading researcher in mobile robotics, specializing in motion planning and autonomous navigation for complex, unstructured environments. His work centers on developing robust, real-time trajectory planning algorithms that enable car-like and cooperative steering robots to safely and efficiently avoid obstacles—both static and dynamic. Sun’s most impactful contribution is a hybrid motion planning approach that integrates the timed-elastic-band (TEB) method with artificial potential fields, solving the critical problem of unstable motion states during obstacle avoidance in unstructured scenarios. This paper has garnered 16 citations, reflecting its significance in the field. He further advanced the state of the art with a hierarchical framework for autonomous exploration of unknown environments (9 citations) and a trajectory planning approach that incorporates multiple constraints for dynamic obstacle avoidance (7 citations). Sun’s work on cooperative steering mobile robots, combining trajectory planning and control for enhanced stability and flexibility, has also been widely recognized (5 citations). His research is essential reading for anyone developing autonomous systems that must operate reliably in unpredictable, real-world settings.