Tonghui Zeng

University of Electronic Science and Technology of China

Papers

Total Citations

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About

Tonghui Zeng is a researcher focused on advancing robotic perception and multi-robot coordination, with key contributions in computer vision and autonomous systems. Their most-cited work, "Analysis of Ranging Error of Parallel Binocular Vision System" (2020, 7 citations), addresses a critical challenge in 3D reconstruction and obstacle avoidance for robot platforms. By identifying how fixed-distance calibration leads to depth estimation inaccuracies in varying environments, Zeng’s analysis provides foundational insights for improving stereo vision reliability in real-world robotics applications. In another notable study, "Coverage Optimization Algorithm for Multi-robot System based on Virtual Force Refinement" (2020, 4 citations), Zeng tackles the essential problem of efficient area coverage for exploration tasks like geological surveys and disaster detection. This work introduces a virtual force refinement method to enhance coordination among robots, overcoming limitations in existing systems. Zeng’s research bridges theoretical error analysis with practical algorithm design, offering valuable contributions to the fields of robotic perception and swarm intelligence. Their work is particularly relevant for students and researchers developing autonomous systems for dynamic and unstructured environments.