Parallel PnP Robots

Dr. Guanglei Wu received his PhD in mechanical engineering from Aalborg University, Denmark, 2013. He was granted an industrial project by Innovation Fund Denmark and worked as a postdoc fellow in Aalborg University from 2014 to 2016. He was a visiting scholar in the Research Institute in Communications and Cybernetics of Nantes (IRCCyN, the former LS2N) in 2012. Currently, he is an associate professor  in Dalian University of Technology. His research interests include conceptual design of robots, performance evaluation of parallel mechanisms, design optimization and industrial robots. He is the referee of a number of international journals and conferences in the fields of mechanisms and robots. Dr. Huiping Shen, born in 1965, is professor and a doctoral tutor. He received the Bachelor degree in Jiangxi University of Science and Technology in 1984, the Master degree in Southeast University in 1989 and the Doctoral degree in Jiangsu University in 2006, respectively. He has been working for Changzhou University since 1989, and was appointed as associate professor, professor and doctoral tutor in 1995, 2001, and 2010 respectively. He was awarded Special Allowance from the central government of P. R. China as an Excellent Expert in 2001. He completed sixteen projects founded by Natural Science Foundation of Jiangsu province and 35 projects supported by companies in P. R. China. Dr. Shen and his team members published about 260 research papers and he holds 70 patents of novel robot mechanisms.

• Introduction.- Architecture of Parallel PnP Robots.- Geometric Kinematics.- Differential Kinematics.- Elasto statics of Robot.- Robot Dynamics.- Design Optimization.

“Books on parallel robots or PnP robots are rare, the combination of both topics is quite unique. … A typical chapter starts with a compact theoretical introduction of relevant concepts which is followed by a detailed discussion at hand of several more or less sophisticated PnP robots. This focus on concrete examples makes the book well suited for self-study, but it is certainly also suited as primary reading for a theoretical robotics class at graduate level.” (Hans-Peter Schröcker, zbMATH 1537.70002, 2024)