Xiangmao Chang

Michigan State University, Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Xiangmao Chang is a researcher whose work sits at the intersection of environmental monitoring, robotics, and mobile sensing. His primary research focus is on developing innovative, low-cost systems for detecting and tracking aquatic debris—a critical challenge for protecting ecosystems, marine life, and human health. Chang’s most significant contribution is the design and implementation of **SOAR**, a vision-based surveillance robot system that ingeniously integrates an off-the-shelf Android smartphone with a gliding robotic fish. This approach leverages ubiquitous smartphone technology to create a smart, accessible, and autonomous platform for debris monitoring. His most-cited paper on this system (2014) has garnered 19 citations, demonstrating its foundational impact. By repurposing consumer electronics for environmental science, Chang’s work offers a scalable and practical solution for waterway pollution surveillance, showcasing how clever engineering can address pressing ecological problems. His research is a prime example of using mobile and robotic technology for real-world environmental stewardship.