Zhihuan Song

Zhejiang University, Zhejiang University of Technology

Papers

Total Citations

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About

Zhihuan Song is a robotics researcher whose work centers on object servoing, pose estimation, and soft sensing for autonomous systems. His most significant contributions lie in developing control strategies for differential-drive service robots, particularly addressing the challenge of nonholonomic constraints when interacting with movable objects. His 2022 paper on object servoing using switched control (11 citations) proposes a novel scheme that enables robots to asymptotically park at a predefined relative pose to a moving target—a critical capability for real-world service robotics. Song also advanced state estimation with his 2007 work on Gaussian particle filters for 3D pose and motion estimation (6 citations), which addresses fundamental problems in robotic guidance and photogrammetry. Additionally, his 2014 research on Gaussian mixture regression for soft sensors (6 citations) provides solutions for monitoring multiphase and multimode industrial processes. Across his publications, Song demonstrates a consistent focus on bridging theoretical control methods with practical robotic applications, making his work valuable for researchers developing autonomous systems that must operate reliably in dynamic, unstructured environments.