Papers
7
Total Citations
74
H-Index
4
About
Ke Xie is a leading researcher in surgical robotics, with a focus on autonomous endoscope control, surgeon-robot collaboration, and minimally invasive surgery (MIS). Their major contributions include developing a surgeon preference-guided autonomous instrument tracking method for robotic flexible endoscopes using the dVRK platform, which enhances field-of-view stability and reduces surgeon fatigue. Xie also pioneered a semi-autonomous stereotactic brain biopsy robotic system that improves surgical safety and collaboration, and created an accelerated anti-noise adaptive neural network for multi-objective surgical constraints. Their work on direct calibration methods for eye-to-hand robot systems and robotic kinematic calibration using Gaussian mixture models has advanced precision in robotic positioning. With over 70 citations across their most-cited papers, including 32 citations for their 2022 dVRK study, Xie’s research has significant impact. Notable achievements include their 2024 multimodal scrub nurse robot platform for instrument transfer and sorting, addressing labor-intensive surgical tasks. Xie’s innovations are critical for the future of autonomous and collaborative surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Research on direct calibration method of eye-to-hand system of robot3 citations · 2013
- 6
- 7