Haojun

Papers

Total Citations

H-Index

About

Haojun’s research centers on the intersection of surgical robotics, medical device design, and needle-based interventions, with a particular focus on enhancing precision and safety in robot-assisted soft-tissue procedures. Their most cited work, “Needle Steering for Robot-Assisted Insertion into Soft Tissue: A Survey” (2012, 19 citations), provides a foundational synthesis of needle steering as a kinematic problem—defining it as the challenge of accurately placing a needle tip at a target while avoiding obstacles. This survey systematically analyzes control algorithms, including artificial potential fields and nonholonomic models, and introduces computational models such as virtual spring and cantilever beam frameworks to predict needle deflection and generate optimal paths. By grounding these theoretical advances in practical validation using tissue-mimicking phantoms, Haojun has helped bridge the gap between robotic control theory and clinical application. Their work is particularly notable for clarifying the core mechanical and algorithmic challenges of needle insertion, offering a roadmap for future developments in autonomous surgical systems. With 19 citations on this single survey, Haojun’s contributions continue to inform researchers and engineers working on minimally invasive robotic tools, making their research a key reference in the growing field of medical robotics.