Papers
49
Total Citations
931
H-Index
19
About
Mehran Armand is a prominent robotics and biomedical engineering researcher whose work sits at the intersection of surgical robotics, continuum manipulators, and minimally invasive orthopedic interventions. He is best known for pioneering robotic systems designed to treat debilitating conditions such as pelvic osteolysis — the degradation of bone tissue around hip implants — developing innovative continuum dexterous manipulators capable of navigating confined anatomical spaces with remarkable precision. His contributions span autonomous tissue manipulation, fiber Bragg grating (FBG)-based shape sensing, and simultaneous sensor calibration and deformation estimation (SCADE), reflecting a deep commitment to solving real-world surgical challenges through intelligent, adaptive systems. Armand has also advanced X-ray-based surgical navigation through machine learning-enabled image simulation and fiducial-free 2D/3D registration, broadening the clinical applicability of robot-assisted procedures such as femoroplasty. With top-cited works accumulating hundreds of citations — including studies validated in human cadaver experiments — his research has demonstrably influenced both academic robotics and practical surgical tool design. Spanning early work in self-reconfigurable modular robots to cutting-edge autonomous surgical platforms, Armand's career reflects a sustained drive to make complex, life-improving procedures safer, less invasive, and more accessible to patients worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Design of a new independently-mobile reconfigurable modular robot47 citations · 2010
- 7
- 8
- 9
- 10Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty35 citations · 2020