Papers
16
Total Citations
514
H-Index
12
About
Yicha Zhang is a leading researcher in intelligent robotic manufacturing, with a focus on bridging the gap between automation and human expertise. His work centers on developing knowledge-based engineering approaches to define, program, and configure robotic manufacturing systems, making them more accessible and efficient—particularly for small and medium-sized enterprises (SMEs). His most cited work, a hybrid offline programming method for robotic welding systems (142 citations), exemplifies his impact, offering a practical solution to a longstanding industrial challenge. Zhang has also made significant contributions to additive manufacturing, including a new process to enhance cold spray-based additive manufacturing (24 citations) and a framework for a knowledge-based cold spray repairing system (23 citations). Beyond traditional rigid robotics, he explores soft robotics, as seen in his work on stiffness modulation via lattice structure configuration design (14 citations). His recent research into semantic map construction for human-robot collaborative manufacturing (14 citations) demonstrates a forward-looking approach to integrating human workers with robotic systems. With over 460 total citations across his top ten papers, Zhang’s work is widely recognized for its practical, industry-oriented solutions that advance the flexibility and intelligence of modern manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Hybrid offline programming method for robotic welding systems142 citations · 2021
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- 3SME-oriented flexible design approach for robotic manufacturing systems53 citations · 2019
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- 8A framework for a knowledge based cold spray repairing system23 citations · 2021
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