Chang Shao
Papers
2
Total Citations
17
H-Index
2
About
Chang Shao’s research lies at the intersection of robotic automation, ultrasonic measurement, and swarm intelligence, with a focus on solving real-world industrial and environmental challenges. In their most cited work, “Robotic Ultrasonic Measurement of Residual Stress in Complex Curved Surface Components” (2019, 14 citations), Shao pioneered a robotic system capable of autonomously measuring residual stress on curved surfaces—a critical need for quality control in aerospace and automotive manufacturing. This work addresses the long-standing difficulty of automating stress detection on non-flat geometries, significantly advancing robotic precision in nondestructive testing. Shao also explores bio-inspired swarm control in “An Artificial Swan Formation Using the Finsler Measure in the Dynamic Window Control” (2020, 3 citations), where they extend the Dynamic Window Algorithm to coordinate large groups of unmanned robots for airport bird deterrence. By introducing a Finsler-geometric term, this novel approach enhances formation stability and obstacle avoidance. Though early in citation impact, Shao’s contributions demonstrate a versatile engineering mind—bridging industrial automation with ecological applications. Their work is particularly notable for translating complex theoretical control methods into practical, deployable robotic systems.
Research Focus
Key Achievements
Top Papers
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