Junwen Sun

Chinese University of Hong Kong, Shenzhen, Tianjin University

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Total Citations

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About

Junwen Sun is a robotics researcher whose work bridges perception, locomotion, and multi-robot systems, with a focus on enhancing the autonomy and efficiency of legged robots in complex environments. Sun’s major contributions include developing a vision-based perception framework for outdoor navigation, enabling legged robots to recognize ground textures and landforms using binocular cameras—a critical step for autonomous traversal. In energy-efficient locomotion, Sun pioneered a CNN-based foothold selection strategy that optimizes quadrupedal movement over rough terrains, directly addressing the efficiency gap between legged and wheeled robots. This work, cited 15 times, demonstrates a practical approach to improving robot endurance in field applications. Sun has also advanced multi-robot systems for environmental monitoring, proposing a three-step method for single odor source declaration using multiple robots, which combines convergence, concentration persistence, and mass throughput calculations. With over 36 citations across key publications, Sun’s research is foundational for students and engineers working on legged robotics, terrain perception, and cooperative robot teams, offering tangible solutions for real-world deployment in challenging outdoor settings.