Papers
6
Total Citations
188
H-Index
6
About
Wanjin Guo is a robotics and automation researcher whose work spans industrial robot manipulator design, human-robot collaboration, and intelligent motion control systems. His research has made significant contributions to the development of hybrid robot manipulators, with early foundational work including kinematic analysis of novel 5-DOF hybrid manipulators (2015, 16 citations) and a comprehensive study of kinematics, dynamics, and control systems for such architectures (2016, 26 citations). These studies established critical groundwork for combining the precision of parallel mechanisms with the flexibility of serial structures. Guo's research subsequently advanced into sophisticated industrial applications, including robotic deburring methodologies, seam bead grinding automation, and semiclosed-loop motion control with robust weld bead tracking (2021, 26 citations), addressing real-world manufacturing challenges with practical, deployable solutions. His most impactful work to date integrates skeleton-RGB data for highly similar human action prediction in human-robot collaborative assembly (2023, 71 citations), reflecting a broader shift toward intelligent, perception-driven robotics. Collectively, Guo's publications demonstrate a career-long commitment to bridging mechanical design, control theory, and artificial intelligence to advance the frontiers of industrial and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 5Kinematics Analysis of a Novel 5-DOF Hybrid Manipulator16 citations · 2015
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