Huangxuan Lin

Chang Gung University, Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Huangxuan Lin’s research bridges the critical gap between surgical precision and autonomous robotic perception. His early work on a robotic arm drilling surgical navigation system (2014, 5 citations) pioneered a novel integration of force-feedback haptics, 3D medical imaging, and stable robotic manipulation, laying foundational groundwork for computer-assisted orthopedic surgery. More recently, Lin has advanced the frontier of legged robotics with his 2025 paper “See-Touch-Predict,” which introduces an active exploration framework that enables robots to predict terrain physics—like soil firmness or slip risk—by combining visual cues with tactile feedback. This work directly tackles the scarcity of labeled physical-property data, allowing robots to autonomously assess and adapt to hazardous environments before committing to a step. By fusing vision, touch, and predictive modeling, Lin’s contributions are shaping a new generation of robots that can safely navigate unstructured, real-world terrains—from disaster zones to planetary surfaces. His trajectory from surgical navigation to autonomous exploration highlights a versatile talent for solving high-stakes perception and control problems, making him a rising voice in both medical robotics and field robotics.