Papers
3
Total Citations
11
H-Index
2
About
Jinchang An is an emerging researcher specializing in medical robotics, surgical automation, and intelligent control systems, with a particular focus on robotic-assisted spinal surgery. His work addresses some of the most technically demanding challenges in orthopedic robotics, including precision trajectory planning, cutting force dynamics, and real-time bone tissue recognition during vertebral plate procedures such as laminectomy. An's most notable contributions include developing adaptive fuzzy PID control frameworks for managing cutting deformation and vibration in spinal surgical robots, earning 7 citations since its 2024 publication. He has further advanced the field through predictive modeling and parameter optimization strategies aimed at minimizing thermal and mechanical damage to bone tissue during robotic grinding operations. His most recent work introduces a novel bone recognition system leveraging Support Vector Machines optimized through Particle Swarm Optimization, enabling robotic systems to dynamically identify bone layers in real time — a capability previously exclusive to experienced surgeons. Though early in his research career, An's rapidly growing citation record reflects meaningful progress in bridging intelligent control theory with clinical surgical robotics. His contributions hold significant promise for improving patient safety and surgical precision in complex spinal decompression procedures.
Research Focus
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