Yangwan Zhong

Jiangxi University of Science and Technology

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About

Yangwan Zhong is a researcher at the forefront of robotics and autonomous systems, with a primary focus on service robot modeling and unmanned aerial vehicle (UAV) perception. Zhong’s work bridges critical gaps between theoretical mathematical frameworks and practical hardware implementation, particularly in the domain of indoor object detection. In their highly cited 2022 review, Zhong synthesized nearly three decades of interdisciplinary advances—spanning mechanics, information science, materials, control, and medicine—to create a comprehensive mathematical model for service robots, a foundational contribution that has garnered 32 citations. Building on this, Zhong’s 2023 study (19 citations) provided a rigorous, side-by-side comparison of four key feature detection algorithms—SIFT, SURF, ORB, and BRISK—across three different processors, offering the first systematic benchmark for real-time UAV object detection in indoor environments. This work is particularly notable for its practical engineering insights, helping researchers and developers select optimal algorithm-processor pairings for remote sensing applications. Zhong’s research stands out for its dual emphasis on theoretical rigor and real-world deployability, making significant strides toward more intelligent, efficient service robots and autonomous drones.