Max Robotics — Global Service Robot Directory + US Certification

About

Haixin Sun is a leading researcher in autonomous robotics, specializing in motion planning and navigation for dynamic and unknown environments. Their work centers on developing efficient, sampling-based and bio-inspired algorithms that enable robots to adapt in real-time. Sun’s most significant contribution is the MOD-RRT* algorithm (281 citations), a multiobjective dynamic rapidly exploring random tree that integrates path generation and replanning for safe navigation in changing settings. They also pioneered the DL-ACO algorithm (177 citations), a double-layer ant colony optimization approach that enhances path efficiency through parallel and successive optimization layers. More recently, Sun introduced the DOB-RRT* algorithm, a double-layer structure with objective bias and online optimization for anytime motion planning. These contributions have substantially advanced the field of autonomous navigation, offering robust solutions for real-world robotic applications. Sun’s work is highly influential, with their algorithms widely cited and adopted, reflecting a sustained impact on both theoretical foundations and practical implementations in robotics.