Ruonan Zhang

Papers

Total Citations

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About

Ruonan Zhang’s research bridges the critical intersection of robotics, privacy, and 3D scene understanding. Her early work tackled the pressing ethical challenge of privacy in telepresence systems, where she pioneered video manipulation techniques to protect bystanders from remote operators controlling mobile robots. Through rigorous user studies, she demonstrated how selective visual filtering can preserve functionality while safeguarding privacy—a contribution that laid groundwork for human-robot interaction ethics. More recently, Zhang has driven innovation in autonomous navigation with her Point-Wave Network for place recognition. This work reimagines how autonomous vehicles and robots identify locations from 3D point clouds, introducing a novel framework that treats points as waves to extract richer, more discriminative features. Her approach directly addresses the core challenge of improving retrieval performance in large-scale environments, advancing the reliability of self-driving and robotic localization systems. With her most-cited paper earning 14 citations and her recent work already gaining traction, Zhang’s dual focus on ethical robotics and cutting-edge perception systems marks her as a researcher shaping both the technical and societal dimensions of autonomous technology.