Licheng Hou

Huazhong University of Science and Technology

Papers

Total Citations

H-Index

About

Licheng Hou is a rising researcher in medical robotics, with a focus on continuum manipulators and ultrasound-guided autonomous surgery. His work addresses critical challenges in intraoperative precision, particularly the low rigidity and limited accuracy of flexible surgical robots. Hou’s most cited paper (2025, 7 citations) introduces a particle filter-based localization algorithm that fuses kinematic models with Fiber Bragg Grating (FBG) sensors, significantly enhancing the shape-sensing and localization accuracy of continuum robots for minimally invasive procedures. In a second key contribution (2024, 4 citations), he developed an ultrasound-guided robotic system capable of real-time deformation tracking and prediction, enabling autonomous operation despite intraoperative tissue movement. His earlier work on shape reconstruction using FBG sensors (2022, 4 citations) laid the foundation for these advances. By integrating sensing, modeling, and control, Hou’s research directly improves the reliability and autonomy of surgical robots, with clear translational potential. His growing citation record reflects the relevance of his contributions to the field of soft and continuum robotics.