Dalian University of Technology, China
Dr. Guanglei Wu is an Associate Professor at the School of Mechanical Engineering, Dalian University of Technology (DUT), China, since July 2016. He specializes in robotic technologies, focusing on robot design and their industrial applications. His research has been published in esteemed journals such as Mechanism and Machine Theory, ASME Journal of Mechanical Design, and IEEE ICRA and IROS conferences. Dr. Wu has contributed significantly to the field, earning international recognition for his work. He has authored two books and holds nine Chinese patents. His academic journey includes a Ph.D. in Robotics from Aalborg University, Denmark, in 2013, followed by postdoctoral research at the same institution from 2014 to 2016. He has been a visiting scholar at institutions like McGill University, University of Nantes, and Aarhus University. Dr. Wu has delivered over 10 keynote speeches at international conferences and serves as a referee for over 50 journals and conferences in the fields of mechanisms and robotics.
Professional Profile
Education
Dr. Guanglei Wu’s academic journey began with a Bachelor’s degree in Mechanical Design, Manufacture & Automation from Yantai University, China, in 2007. He then pursued a Master’s degree in Mechanical Manufacture and Automation, specializing in Parallel Robotics, from Northeastern University, China, graduating in 2009. Furthering his expertise, he earned a Ph.D. in Robotics from the Department of Mechanical and Manufacturing Engineering at Aalborg University, Denmark, in 2013. During his doctoral studies, he participated in an exchange program at the Institut de Recherche en Communications et Cybernétique de Nantes (IRCCyN), University of Nantes, France, in 2012. His commitment to continuous learning led him to undertake Breakthrough Leadership Training, lectured by Harvard Business Publishing, organized by Innovation Fund Denmark, from 2015 to 2016. This diverse educational background has equipped Dr. Wu with a comprehensive understanding of robotics and mechanical engineering.
Experience
Dr. Guanglei Wu’s professional experience spans academia, research, and industry. Since July 2016, he has been serving as an Associate Professor at the School of Mechanical Engineering, Dalian University of Technology (DUT), China. Between 2014 and 2016, he worked as an Industrial Postdoctoral Researcher at Aalborg University, Denmark, following his Ph.D. In 2012, he was a visiting scholar at the Institut de Recherche en Communications et Cybernétique de Nantes (IRCCyN), University of Nantes, France. Dr. Wu has also held positions at McGill University, Canada, and Aarhus University, Denmark. In addition to his academic roles, he has been involved in industry as a part-time R&D Engineer at Alida (Changzhou) Intelligent Technology Co., Ltd., China, since 2019, and as a part-time Researcher at the Jiangsu Institute of Science affiliated with DUT, Changzhou, China, since 2018. His diverse experiences have contributed to his expertise in robotics and mechanical engineering.
Awards and Honors
Dr. Guanglei Wu has received numerous accolades throughout his career, reflecting his significant contributions to the field of robotics. In 2022, he was honored as the AIS Expert of the Year by the international academic organization AiScholar. He was a recipient of the Visiting Researcher Scholarship funded by the China Scholarship Council in 2020. In 2019, he received the TC Service Award from the IFToMM Technical Committee for Linkages and Mechanical Controls. Dr. Wu was selected for the Star Ocean Thousand Youth Talents Program at DUT in 2018. He has also been recognized with the Nan Tai Lake Talent Program of Huzhou City in 2019 and the Liaoning Provincial 7th International Academic Exchange Program for Youth Scholars in 2019. His paper on parallel Schöflies-motion robots earned the 2017 Liaoning Academic Award (third class). Additionally, he received the Best Conference Paper Award at IFToMM Asian MMS 2016 & CCMMS 2016 for his work on high-acceleration robots.
Research Focus
Dr. Guanglei Wu’s research focuses on the design, analysis, and application of robotic systems, particularly in industrial settings. His interests encompass the conceptual design and performance evaluation of mechanisms, optimal robot design, and robot control and vision. He delves into the kinematics and elastostatics of robots, exploring motion/force transmission, sensitivity analysis, accuracy analysis, and error compensation design. His work also includes the study of robot geometry and dynamics, emphasizing dynamic stability. Dr. Wu has a keen interest in parallel manipulators, industrial robots, and their applications, as well as flexible robots, high-speed pick-and-place robots, lightweight robotic arms, and compliant actuation. His research aims to advance the field of robotics by developing innovative solutions that enhance the efficiency and effectiveness of robotic systems in various industrial applications.
Publication Top Notes
-
Dynamic modeling and design optimization of a 3-DOF spherical parallel manipulator
Journal: Robotics and Autonomous Systems 62 (10), 1377-1386 (2014)
Summary: This paper presents a dynamic model and design optimization for a 3-DOF spherical parallel manipulator, aiming to improve its performance in robotic applications.
-
Kinematic sensitivity, parameter identification and calibration of a non-fully symmetric parallel Delta robot
Journal: Mechanism and Machine Theory 161, 104311 (2021)
Summary: The study investigates the kinematic sensitivity, parameter identification, and calibration techniques for a non-fully symmetric parallel Delta robot.
-
Architecture optimization of a parallel Schönflies-motion robot for pick-and-place applications in a predefined workspace
Authors: G. Wu, S. Bai, P. Hjørnet
Journal: Mechanism and Machine Theory 106, 148–165 (2016)
Citations: 68
Summary: This paper proposes an architecture optimization approach for a Schönflies-motion parallel robot. The aim is to enhance operational effectiveness in constrained workspaces typical in industrial pick-and-place tasks.
-
Design and kinematic analysis of a 3-RRR spherical parallel manipulator reconfigured with four–bar linkages
Authors: G. Wu, S. Bai
Journal: Robotics and Computer-Integrated Manufacturing 56, 55–65 (2019)
Citations: 58
Summary: A novel reconfigurable 3-RRR spherical manipulator is proposed using four-bar mechanisms. Kinematic analysis demonstrates increased flexibility and application potential.
-
Error Modeling and Experimental Validation of a Planar 3-PPR Parallel Manipulator With Joint Clearances
Authors: G. Wu, S. Bai, J.A. Kepler, S. Caro
Journal: Journal of Mechanisms and Robotics 4(4), 041008 (2012)
Citations: 56
Summary: This study presents error modeling of planar parallel manipulators considering joint clearances and validates the model experimentally.
-
Mobile platform center shift in spherical parallel manipulators with flexible limbs
Authors: G. Wu, S. Bai, J.A. Kepler
Journal: Mechanism and Machine Theory 75, 12–26 (2014)
Citations: 53
Summary: Investigates how flexible limbs in spherical parallel manipulators can cause platform center shifts, affecting accuracy.
-
A Translational 3-DOF Parallel Mechanism With Partial Motion Decoupling and Analytic Direct Kinematics
Authors: H.S. Shen, D. Chablat, B. Zeng, J. Li, G. Wu, T.L. Yang
Journal: Journal of Mechanisms and Robotics 12(2), 021112 (2020)
Citations: 48
Summary: A novel 3-DOF translational parallel mechanism is introduced with partially decoupled motion and direct kinematic solutions.
Conclusion
Dr. Guanglei Wu demonstrates outstanding technical expertise, a strong publication and citation record, global academic integration, and a clear history of impactful innovation in the field of robotics and mechanisms. His profile aligns very well with the criteria typically expected for a Best Researcher Award, especially in engineering and applied sciences.