Yong-Sheng Cheng
Papers
4
Total Citations
59
H-Index
4
About
Yong-Sheng Cheng is a robotics researcher focused on advancing industrial automation through intelligent sensing and compliant manipulation. His primary research areas include robotic machining, autonomous inspection, and human-robot interaction, with a particular emphasis on precision manufacturing applications. Cheng’s most significant contribution lies in developing trajectory planning methods with grinding compensation strategies for robotic propeller blade sharpening, a work that has garnered 25 citations and addresses critical challenges in maintaining edge quality for energy-efficient propulsion systems. He further advanced this domain by integrating laser-vision sensors with force compliance mechanisms to enhance sharpening efficiency, demonstrating a systematic approach to complex surface finishing. Cheng also designed a compliant robotic end-effector tool capable of estimating normal contact on unknown geometries—a breakthrough for polishing operations that has accumulated 18 citations. His camera-based position correction system for autonomous production line inspection, with 10 citations, showcases his versatility in combining offline programming with RGB-D sensing for quality control. Through these innovations, Cheng has established himself as a key contributor to the evolution of intelligent robotic manufacturing, bridging the gap between theoretical control and practical industrial deployment.
Research Focus
Key Achievements
Top Papers
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