Zibin Song

King's College London, Tsinghua University

Papers

Total Citations

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About

Zibin Song is a researcher specializing in mobile robotics, with a particular focus on terrain interaction, slip estimation, and control systems for unmanned wheeled and tracked vehicles. His work addresses a critical challenge in field robotics: enabling robots to maintain accurate state estimation and control when traversing rough or unpredictable terrain. In his most cited paper, "A robust slip estimation method for skid-steered mobile robots" (2008, 9 citations), Song introduced an innovative approach using optical flow from a downward-facing visual sensor to estimate wheel slip by tracking terrain features. This method significantly improved the robustness of motion recovery for skid-steered platforms. Building on this, his 2009 paper on non-linear observers for slip parameter estimation further advanced the field by providing a framework for integrating slip knowledge into higher-level control strategies, such as path planning and trajectory tracking. Though early in citation accumulation, Song’s contributions are foundational for researchers developing autonomous ground vehicles that must operate reliably in unstructured environments. His work remains a key reference for those working on slip-aware navigation and robust state estimation in mobile robotics.