Mr. Shenglin Wu | Human–Robot Interaction | Best Researcher Award
Teacher | Guangzhou Institute of Science and Technology | China
Shenglin Wu is a dedicated faculty member at Guangzhou Institute of Technology, specializing in advanced manufacturing and wearable robotic systems. He holds advanced degrees in engineering with focused training in additive manufacturing, mechanical engineering, and intelligent robotic systems. Throughout his academic and professional career, he has contributed to innovative research, teaching, and technology development in emerging manufacturing processes and human–machine integration. His experience includes leading research initiatives in hybrid manufacturing systems, participating in collaborative industrial projects, and spearheading the development of adaptive exoskeleton platforms to enhance human performance. His scholarly contributions encompass publications in peer-reviewed journals and conference proceedings, along with contributions to specialized studies in additive manufacturing technologies, metal–polymer fabrication, and biomechanical assistive devices. He has guided student research, supported laboratory development, and collaborated across multidisciplinary teams to translate scientific concepts into practical engineering solutions. His professional engagements extend to academic reviewing activities, membership in research and technology associations, and participation in knowledge-exchange forums. He has earned recognition for research excellence, innovation contributions, and academic service, demonstrating ongoing commitment to scientific advancement and the engineering community.
Profile: ORCID
Featured Publications
Shenglin Wu*, Development of polymer-metal hybrid 3D printing equipment and applications in automotive components. Guangdong Sci. Tech. Dept. Project, Completed.
Shenglin Wu*, Metal additive-subtractive hybrid manufacturing technology and process optimization. Additive Manuf. Tech. Res. Program, 2024.
Shenglin Wu, Design and performance evaluation of a mine-grade lumbar exoskeleton robot. Exoskeleton Robot Eng. Res., 2024.