Junyang Tang

Yangzhou University, Anhui Polytechnic University

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About

Junyang Tang is a robotics researcher whose work bridges the gap between everyday life and advanced automation, with a particular focus on intelligent cooking systems and mobile robot navigation. His most influential contribution is the development of a novel automatic cooking robot for Chinese dishes (2007, 26 citations), which addressed the practical challenges of kitchen fatigue and air pollution by applying numerical control technology to culinary automation—a pioneering effort that laid groundwork for modern smart kitchen appliances. Tang has since advanced the field of path planning, proposing an improved A* algorithm fused with Jump Point Search (2024, 2 citations) to reduce memory consumption and accelerate computation in mobile robot navigation. Most recently, he has tackled robotic arm efficiency with the DAPF-RRT algorithm (2025, 1 citation), combining dynamic step sizing and artificial potential fields to overcome the slow, tortuous paths of traditional RRT-Connect methods. Tang’s work demonstrates a consistent commitment to making robots more practical, efficient, and responsive in real-world environments—from the kitchen to the factory floor—showcasing how incremental algorithmic innovations can drive meaningful progress in robotics.