Papers
3
Total Citations
16
H-Index
3
About
Tiehua Hu is a robotics and biomedical engineer whose work bridges precision control systems and medical device innovation. His primary research focuses on surgical robotics, particularly percutaneous puncture robots designed to enhance accuracy in minimally invasive procedures. Hu’s most cited work, “A New Computed Torque Control System with an Uncertain RBF Neural Network Controller for a 7-DOF Robot” (2020, 10 citations), introduces an optimized computed torque control law that improves surgical equipment precision, reducing patient pain and enabling treatment of smaller tumors. This contribution directly addresses the challenge of increasing surgical success rates through advanced robotic control. Hu also developed a dual-channel synchronous control system for percutaneous puncture surgical robots (2019, 3 citations), further refining multi-axis coordination in clinical settings. Beyond medical robotics, his research extends to real-time detection of transient weak ELF magnetic signals (2017, 3 citations), a technique critical for tracking in-pipe robots and ensuring pipeline safety. By integrating neural network-based control with practical surgical applications, Hu’s work demonstrates how robotics can transform high-stakes medical procedures, offering tangible improvements in both precision and patient outcomes.
Research Focus
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