Papers
7
Total Citations
150
H-Index
5
About
Mingyue Lu is a robotics researcher whose work sits at the intersection of medical robotics, soft robotics, and image-guided intervention systems. With a strong focus on advancing minimally invasive and assistive technologies for clinical applications, Lu has made significant contributions to the design and control of robots tailored for breast cancer diagnosis and treatment. His most-cited work — a 2020 review of soft and flexible robots for medical applications (113 citations) — established him as a knowledgeable voice in the rapidly growing field of compliant robotics, synthesizing advances in bionic design, flexible mechanisms, and clinical deployment. Complementing this broad perspective, Lu has developed novel MRI-compatible breast intervention robots capable of operating within the constrained and magnetically sensitive environment of MRI scanners, addressing critical challenges in material selection, kinematics, and precision control. His later research expanded into ultrasound-guided robotic scanning using binocular vision and NURBS-based path planning, reducing reliance on experienced clinicians for routine examinations. More recently, Lu has explored pneumatic soft actuator modeling across varying pressure ranges, contributing to the theoretical foundations of continuum robots. Together, his body of work reflects a coherent vision: making robotic assistance safer, smarter, and more accessible in oncological care.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Breast intervention surgery robot under image navigation: A review5 citations · 2021
- 6
- 7