Chia‐Hung Kao
Papers
2
Total Citations
93
H-Index
2
About
Chia-Hung Kao is a leading researcher in robotic-assisted surgery and intelligent robotic control systems, with a particular focus on enhancing precision and safety in spine surgery. His most impactful work is a landmark 2020 systematic review and meta-analysis of randomized controlled trials, which rigorously compared robot-assisted pedicle screw placement to conventional freehand techniques. This study, cited 86 times, provided critical evidence on accuracy, operation time, and radiation exposure, establishing a benchmark for evaluating robotic systems in orthopedic surgery. Kao’s contributions extend to dynamic robotic control; in his 2018 study, he developed a dynamic proportional-fuzzy grip control system for a four-degree-of-freedom robot arm, integrating two-dimensional vision sensing to track and grasp moving targets on a moving platform. By combining forward and inverse kinematics with fuzzy logic, he advanced real-time adaptive control for industrial and surgical robotics. With a citation count exceeding 90 across his key works, Kao’s research bridges clinical evidence and engineering innovation, offering practical solutions for safer, more efficient robotic interventions. His work is essential reading for students and researchers in medical robotics, control systems, and evidence-based surgical technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2