Papers
9
Total Citations
309
H-Index
6
About
Dr. Guijun Bi is a leading researcher in advanced manufacturing, specializing in robotic additive manufacturing, digital twins, and intelligent process monitoring. His work bridges the gap between robotics and materials processing, with a focus on enhancing quality and precision in laser-directed energy deposition. Dr. Bi’s most impactful contribution is his development of a multisensor fusion-based digital twin for localized quality prediction, a 2023 paper that has garnered 124 citations, demonstrating its significance in enabling real-time, in-process quality control. He has also made foundational contributions to stiffness modeling of industrial robots with gravity compensators (77 citations) and in-process adaptive dimension correction for laser additive manufacturing (42 citations). His research on the influence of robot postures on surface quality in robotic machining (28 citations) is critical for optimizing manufacturing outcomes. Additionally, Dr. Bi has advanced vision-based surface monitoring for additive manufacturing, addressing key challenges in defect detection and geometric distortion. His work on heuristic kinematics for redundant robot-positioner systems and climbing robots for weld inspection further showcases his versatility. With a strong track record of high-impact publications, Dr. Bi is a key figure in the evolution of smart, robot-assisted manufacturing.
Research Focus
Key Achievements
Top Papers
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- 9Trajectory Tracking of Swing-Arm Type Omnidirectional Mobile Robot3 citations · 2022