Published on by Global Scholar Awards

Prof. Shigang Wang | Robotics | Best Researcher Award

Teacher| Guangxi University of Science and Technology | China

Professor Wang Shigang is a distinguished academic and master’s supervisor whose research spans the fields of embodied intelligence, robotics technology, reverse engineering, 3D printing, intelligent control, and automation. He has conducted extensive international research collaborations at the University of Manchester (UK), the Dagenhdorf Institute of Applied Technology (Germany), Moscow University (Russia), and the Hong Kong Polytechnic University, contributing to the advancement of intelligent robotic systems and perception technologies. Professor Wang serves as a key member of several prominent research institutions, including the Guangxi Mobile Robot Mechanism and Control Technology Engineering Research Center, the Guangxi Low-Altitude Unmanned Aerial Vehicle Key Technology Engineering Research Center, the Liuzhou Service Robot Key Laboratory, and the Liuzhou Intelligent Perception and Control Key Laboratory, where he plays a vital role in developing cutting-edge robotic and automation solutions. Over his career, he has led and participated in more than ten national, provincial, and ministerial scientific research projects and completed over twenty industry-collaborative (horizontal) research projects, bridging academic innovation with practical engineering applications. His scholarly output includes over sixty peer-reviewed academic papers and more than twenty authorized patents, alongside the publication of two academic monographs that have enriched the robotics and automation research community. In recognition of his contributions, he has received two municipal-level Science and Technology Progress Awards. Professor Wang’s work has had a significant societal and technological impact, fostering advancements in intelligent systems that support sustainable industrial transformation and smart manufacturing. His interdisciplinary research continues to push the boundaries of robotic intelligence, perception systems, and automation technologies, reinforcing his reputation as a leading scholar in intelligent robotics and applied engineering innovation.

Profile:  Scopus 

Featured Publications

Wang, S., & et al. (2023). An H-GrabCut image segmentation algorithm for indoor pedestrian background removal. Sensors (Basel, Switzerland). Citations: 2

Wang, S., & et al. (n.d.). Analysis and detection of orange images based on improved Faster R-CNN algorithm and feature data analysis. Citations: 2

Wang, S., & et al. (n.d.). Analysis and research of segmentation feature data of femoral CT image based on improved U-Net. Citations: 1

Wang, S., & et al. (n.d.). Analysis and research of spinal CT image segmentation based on improved watershed algorithm. Citations: 1

Wang, S., & et al. (2023). Planning of medical flexible needle motion in effective area of clinical puncture. Sensors (Basel, Switzerland). Citations: 3

Professor Wang Shigang’s research advances intelligent robotics, embodied perception, and automated control technologies, driving innovation in smart manufacturing and human–machine collaboration. His work bridges scientific discovery and industrial application, fostering sustainable technological progress and contributing to global advancements in intelligent automation and robotic intelligence.

Shigang Wang | Robotics | Best Researcher Award

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