Max Robotics — Global Service Robot Directory + US Certification

About

Han Sun is a robotics researcher whose work sits at the intersection of manufacturing intelligence, robotic perception, and autonomous manipulation. Their key research areas include health monitoring for manufacturing robotics, affordance-driven grasping in cluttered environments, and 6D pose estimation for complex industrial objects. Sun’s major contributions include developing a semantic modeling framework that leverages sensor data from Industry 4.0 environments to monitor robotic health and predict faults, ensuring steady performance in quality control. They also introduced ACE-NBV, an affordance-driven next-best-view planning policy that enables robots to find feasible grasps for occluded objects by continuously observing scenes—a critical advance for cluttered manufacturing settings. Additionally, Sun’s PanelPose system tackles the challenging problem of estimating the 6D pose of highly-variable panel objects with changing button states, enabling robust robotic inspection in cockpit assembly. With their most-cited works accumulating over a dozen citations in just a few years, Sun is establishing a reputation for solving real-world industrial robotics problems. Their work directly supports the transition to smarter, more autonomous factories where robots can monitor their own health, adapt to complex environments, and handle variable objects with precision.