Papers
22
Total Citations
259
H-Index
10
About
Hongjian Yu is a robotics and mechanical engineering researcher whose work spans theoretical kinematics, surgical robotics, and advanced manufacturing systems. His early contributions established important foundations in screw theory, most notably a geometrical method for determining reciprocal screws in parallel manipulators — an elegant alternative to traditional algebraic approaches that has garnered 61 citations and proven widely applicable across robot kinematics and statics. He also made meaningful contributions to flexible manufacturing, developing reconfigurable fixturing systems for sheet metal assembly using parallel robots, work that addressed critical industrial needs for adaptable production lines. In recent years, Yu has become increasingly recognized for his pioneering work in robot-assisted spine surgery, particularly laminectomy — a delicate procedure requiring the removal of bone tissue near vulnerable spinal nerves. His research group has tackled this challenge comprehensively, producing influential studies on tactile perception for surgical status recognition, intraoperative fluoroscopy navigation, bone milling temperature modeling, neural network-based laminae segmentation, and automated grinding trajectory generation. His 2021 laminectomy-focused papers collectively demonstrate a holistic systems-level approach to making robotic spine surgery safer and more precise. Together, his body of work reflects a researcher who bridges elegant mechanical theory with high-stakes clinical application.
Research Focus
Key Achievements
Top Papers
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- 6Grinding trajectory generator in robot-assisted laminectomy surgery14 citations · 2021
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