Papers
10
Total Citations
298
H-Index
7
About
Qianli Ma is a leading researcher in medical robotics and multi-robot calibration, whose work has significantly advanced the precision and autonomy of robot-assisted surgery. His primary research areas include hand-eye calibration, multi-robot system coordination, and path planning for surgical robots. Ma’s most influential contribution is the development of probabilistic approaches to the classic \(AX=YB\) and \(AXB=YCZ\) calibration problems, enabling simultaneous hand-eye and robot-world calibration without correspondence—a breakthrough that has garnered over 65 citations. He also pioneered a vision-based calibration method for dual remote center-of-motion (RCM) robot arms in human-robot collaborative minimally invasive surgery (MIS), eliminating the need for external tracking sensors (71 citations). His work on efficient path planning for robots with ellipsoidal components in narrow passages (48 citations) has further expanded the capabilities of robotic systems in constrained environments. Ma’s research, with over 300 total citations, has been published in top robotics journals and conferences, and his innovations in sensor calibration and ultrasound tracking continue to shape the future of image-guided therapy and multi-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 6Phantom with multiple active points for ultrasound calibration10 citations · 2018
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- 9The Kinematics of Containment for N-Dimensional Ellipsoids3 citations · 2019
- 10Sensor Calibration, Modeling, and Simulation2 citations · 2018