Shengqi Jian

Harbin Engineering University, Memorial University of Newfoundland

Papers

Total Citations

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About

Shengqi Jian is a robotics researcher whose work centers on the kinematic analysis and practical application of robotic manipulators, with a particular focus on parallel and serial mechanisms. His most impactful contribution is the development of a general approach for solving the inverse kinematics of nR (n-revolute joint) robots, a foundational paper that has garnered 52 citations and provides a systematic method for a core challenge in robot motion planning. Jian has also made significant strides in the modeling and simulation of multi-body systems, notably applying bond graph techniques to analyze a five-bar planar manipulator, a type of parallel robot with four arms and five revolute joints. Extending this theoretical work into a tangible engineering solution, he designed and tested a robotic auto-sampler for pressurized core flooding experiments in enhanced oil recovery research. This application demonstrates his ability to translate complex kinematic and dynamic models into functional, industry-relevant robots. Through his combined focus on inverse kinematics, bond graph modeling, and specialized automation, Shengqi Jian has established himself as a researcher dedicated to both advancing the theoretical foundations of robotics and solving real-world engineering problems.