Mingjing Sun

Papers

Total Citations

H-Index

About

Mingjing Sun is a leading researcher in surgical robotics and intelligent motion planning, whose work bridges the gap between autonomous systems and high-stakes medical procedures. Her most impactful contribution is the development of a robotic spinal surgery system with force feedback for teleoperated drilling, a breakthrough that replaces the surgeon’s reliance on intuition and experience with automated, high-precision drilling into the vertebra. This work, cited 22 times, directly improves patient safety and surgical accuracy. Sun also advances foundational robotics through her learning-based method for fast motion planning, where a deep neural network predicts the free configuration space from environment point clouds, enabling rapid, high-dimensional path planning. Additionally, she tackles the “dimension explosion” problem in multi-mobile robot path planning for intelligent warehousing, proposing a rough-fine search strategy to achieve optimal solutions in complex logistics. Her research, though early in its citation impact, demonstrates a clear trajectory from theoretical motion planning to applied surgical robotics, positioning her as a key innovator in safe, autonomous systems for both medicine and industry.