Anlin Hu
Papers
1
Total Citations
6
H-Index
1
About
Anlin Hu is a researcher focused on advancing the safety and precision of medical robotic systems, particularly in interventional radiology. Their key research areas include collision detection algorithms, motion planning, and human-robot interaction for surgical equipment. Hu’s most notable contribution is a hybrid collision detection algorithm that combines oriented bounding box (OBB) and GJK algorithms, specifically designed to enhance the safety of digital subtraction angiography (DSA) equipment during cardiovascular procedures. This work, published in 2022 and cited 6 times, addresses critical challenges in real-time obstacle avoidance and separation distance computation, helping to prevent accidental collisions between robotic arms and patients or medical staff. By integrating geometric and distance-based methods, Hu’s approach improves computational efficiency and accuracy, making it highly relevant for dynamic clinical environments. Their research bridges the gap between theoretical robotics and practical medical applications, contributing to safer, more reliable automated assistance in high-stakes procedures. Hu’s work is particularly valuable for students and engineers developing next-generation surgical robots, where collision avoidance is paramount for patient safety and procedural success.
Research Focus
Key Achievements
Top Papers
- 1