Papers
9
Total Citations
286
H-Index
6
About
Danying Hu is a researcher at the intersection of medical robotics, surgical autonomy, and computer vision, whose work has significantly advanced the field of image-guided robotic neurosurgery. Best known for pioneering semi-autonomous robotic systems for brain tumor resection, Hu has developed intelligent frameworks — including behavior tree-based control architectures and robust path planning algorithms — that reduce surgeon workload during complex, repetitive procedures such as tumor margin ablation. His most-cited work (115 citations) demonstrated semi-autonomous brain tumor ablation using the RAVEN II surgical robot, a landmark contribution that helped define what autonomous surgical assistance could look like in practice. Alongside neurosurgical robotics, Hu has made notable contributions to computer vision, particularly through "Deep ChArUco" (80 citations), a deep learning approach enabling reliable pose estimation of ChArUco markers in challenging low-light conditions — a capability critical for robotic navigation and augmented reality applications. His broader body of work encompasses 3D surgical field reconstruction, real-time tumor margin identification, and multimodal endoscopic mapping, collectively accumulating nearly 300 citations. Hu's research represents a compelling vision of how intelligent robotics and perception can enhance surgical precision and patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1
- 2Deep ChArUco: Dark ChArUco Marker Pose Estimation80 citations · 2019
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- 4Path planning for semi-automated simulated robotic neurosurgery19 citations · 2015
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- 9Deep ChArUco: Dark ChArUco Marker Pose Estimation4 citations · 2018