Papers

3

Total Citations

41

H-Index

3

About

Wenbin Zhang is a leading researcher in the field of robotics, with a primary focus on the structural optimization and motion planning of industrial and collaborative robots. His work addresses critical challenges in robot design and control, aiming to enhance performance, safety, and efficiency. Zhang’s most significant contribution is a novel topology optimization method for collaborative robot lightweight design, which integrates orthogonal experiments to determine extreme working conditions, moving beyond traditional experience-based approaches. This work, published in 2022 and garnering 22 citations, provides a systematic framework for reducing robot mass without compromising structural integrity. In the domain of motion planning, Zhang has developed advanced interpolation techniques to overcome the limitations of conventional polynomial methods. His modified cubic Hermite interpolation with velocity constraints and hybrid polynomial interpolation approaches solve the persistent problems of discontinuous acceleration and velocity fluctuation in point-to-point joint motion. These contributions, with 11 and 8 citations respectively, are vital for improving the smoothness, precision, and safety of industrial robot operations. Through his research, Wenbin Zhang is advancing the capabilities of modern robotics, enabling more agile, reliable, and intelligent automation systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
41
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A topology optimization method for collaborative robot lightweight design based on orthogonal experiment and its applications
22 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Science and Technology of China, Honghe University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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