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About

Dan Zhao is a robotics and automation researcher whose work sits at the intersection of precision manufacturing, robotic manipulation, and autonomous systems. His research has made significant contributions to the field of industrial robotics, particularly in the context of aircraft panel assembly, where accurate positioning and calibration of multi-machine systems are critical. His most cited work, "Kinematic modeling and base frame calibration of a dual-machine-based drilling and riveting system" (2017, 33 citations), established foundational methods for improving the positional accuracy of coordinated robotic systems used in aerospace manufacturing. Complementing this, his united kinematic calibration method addresses both absolute and relative pose accuracy in dual-machine configurations, ensuring high-quality automated assembly outcomes. Zhao has also advanced the field of sensor-integrated manipulation, proposing novel approaches that fuse vision and tactile sensing for precise object pose estimation in robotic grasping tasks (2021, 20 citations). More recently, his work has expanded into autonomous mobile robotics for high-stakes real-world applications, including bomb disposal systems designed for urban anti-terrorist scenarios. Across his career, Zhao demonstrates a consistent focus on bridging theoretical robotic modeling with practical, safety-critical engineering challenges.