Guoguang Jin
Papers
2
Total Citations
20
H-Index
2
About
Dr. Guoguang Jin is a leading researcher in the fields of medical robotics and advanced mechanism dynamics, with a particular focus on enhancing precision and safety in surgical systems. His most impactful work addresses critical challenges in robotically assisted minimally invasive surgery, where he developed a fuzzy neural network sliding mode controller to suppress instrument tip vibrations caused by nonlinear friction and unmodeled dynamics. This contribution, published in 2016 and garnering 13 citations, is essential for achieving the high-precision, smooth motion control required in delicate surgical procedures. Dr. Jin has also made significant strides in the study of metamorphic mechanisms, introducing a novel impact dynamic modeling approach for planar constrained metamorphic mechanisms during configuration transformation. This 2020 work, with 7 citations, provides a new method grounded in multi-rigid-body dynamics and coefficient of restitution equations, advancing the simulation and design of adaptable mechanical systems. Through these contributions, Dr. Jin bridges the gap between theoretical dynamics and practical robotic control, offering solutions that improve both the reliability of surgical robots and the understanding of complex mechanical interactions.
Research Focus
Key Achievements
Top Papers
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- 2