Cheng‐Hsin Liu
Papers
2
Total Citations
6
H-Index
2
About
Cheng-Hsin Liu is a researcher whose work bridges robotics, medical engineering, and intelligent control systems. His primary research areas include mobile robot navigation, genetic algorithm-based path planning, and robotic-assisted surgery—particularly in orthopedic procedures. Liu’s major contributions lie in developing practical, real-world solutions for autonomous systems and surgical precision. His 2013 paper on path planning for mobile robots using a real-coded genetic algorithm introduced a novel simultaneous exploration method that generates collision-free, continuous paths from start to destination, addressing a core challenge in autonomous navigation. In the medical domain, his 2007 work on impedance force control for lateral milling of bone during total knee arthroplasty (TKA) tackled the critical issue of inaccuracy in robotic bone cutting. By eliminating the need for mechanical jigs, Liu’s approach reduces errors from loose fixation and slot width tolerance, enhancing surgical outcomes. While his citation counts (3 each) reflect focused, niche contributions, these papers represent foundational steps in their fields—particularly in surgical robotics where precision is paramount. Liu’s work demonstrates a commitment to applying intelligent algorithms to both mobile robotics and life-critical medical applications, making him a notable figure in the intersection of robotics and healthcare.
Research Focus
Key Achievements
Top Papers
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- 2