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About

Jingjun Gu is a mechanical engineering researcher whose work centers on the dynamics, vibration analysis, and quality assurance of precision robotic transmission components — particularly RV reducers and harmonic drives used in industrial robots. His research has made significant contributions to understanding torsional vibration behavior in these critical actuator systems, with a particular focus on how time-varying stiffness, manufacturing errors, and profile modification methods influence mechanical performance and positional accuracy. Among his most influential contributions, Gu's 2020 study on torsional vibration in RV reducers based on time-varying stiffness has garnered 24 citations, establishing a key analytical framework for characterizing dynamic instability in robotic joints. His earlier work examining the relationship between stiffness and cycloid-pin wheel profile modification (2016, 11 citations) laid important groundwork for optimizing reducer design. Complementing these theoretical efforts, Gu has also advanced practical quality assurance methodologies, introducing vibration-based manufacturing inspection techniques and multi-axis vibration testing protocols for harmonic drives. His investigations into parametric torsional vibration caused by manufacturing errors further bridge design theory and real-world production challenges. Collectively, his body of work — accumulating over 60 citations — provides essential tools for improving the precision, reliability, and performance of next-generation industrial robotic systems.