Yongteng Sun

Hunan University of Science and Technology

Papers

Total Citations

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About

Yongteng Sun is a robotics researcher whose work centers on the integration of computer vision and mechanical design for autonomous systems, with a particular focus on omnidirectional mobility and precision manipulation. His most notable contribution is the development of a Delta omnidirectional wheeled table tennis automatic pickup robot, which leverages visual servo control to autonomously locate and retrieve scattered balls. This system demonstrates a novel fusion of parallel kinematics (Delta structure) with omnidirectional wheels, enabling rapid, multi-directional movement and precise object grasping—a challenging task requiring real-time image processing and coordinated motion planning. Though his most-cited paper has accumulated 4 citations, its engineering significance lies in addressing the practical problem of automated ball collection in dynamic environments, showcasing a cost-effective solution for sports training and industrial sorting applications. Sun’s work bridges the gap between theoretical robotics and real-world deployment, highlighting the potential of vision-guided mobile manipulators. His research continues to explore how low-cost sensors and efficient algorithms can enhance robotic autonomy, making him a promising contributor to the fields of service robotics and intelligent manufacturing.