Papers
4
Total Citations
39
H-Index
2
About
Dr. Wenkang Zhang is a rising researcher at the intersection of robotics, computer vision, and sustainable manufacturing. His work primarily focuses on enabling intelligent systems to perceive and interact with complex, unstructured environments. A key contribution is the development of **DSYOLO-trash**, an attention mechanism-integrated object tracking algorithm for solid waste detection, which has garnered 34 citations since its 2024 publication, highlighting its immediate relevance to environmental robotics. Dr. Zhang also advances the manipulation of deformable objects, proposing a **Global-Local Graph Attention Network** to model the dynamic interactions between deformable linear objects (DLOs) and their environments—a critical step for robotic control in tasks like cable handling. His earlier work on planar detection for service robots, comparing RANSAC and region growing algorithms, laid foundational groundwork for assistive robotics aimed at improving life independence for individuals with disabilities. Most recently, Dr. Zhang has expanded into sustainable systems, contributing a bibliometric and systematic review on **scheduling in remanufacturing systems**, which addresses the pressing need for closed-loop value creation in industry. Through this diverse portfolio, Dr. Zhang demonstrates a commitment to solving real-world challenges, from waste management to robotic dexterity and circular economy.
Research Focus
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Top Papers
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