Yu‐Cheng Chou

National Sun Yat-sen University, University of California, Davis

Papers

Total Citations

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About

Yu-Cheng Chou is a robotics and automation researcher whose work bridges computer vision and distributed computing. His primary research areas include visual target tracking for mobile robots, particle filter methods, and mobile agent-based computational steering. Chou’s most notable contribution is the development of PSIPT (Particle filter Single Image based Planar Target tracking), a novel approach that enables effective planar target tracking using only a monocular camera on mobile robots. This work, published in 2016, has accumulated 9 citations, demonstrating its relevance in the robotics community. Chou’s approach stands out for its simplicity and effectiveness, requiring no additional sensors beyond a single color camera. In earlier work, he introduced the mobile agent-based computational steering (MACS) framework for distributed applications, which embeds a Mobile-C agent platform into programs to enable runtime-replaceable algorithms. This 2009 publication, with 4 citations, showcases his versatility in addressing both hardware-level tracking challenges and software-level distributed system design. Chou’s research is particularly valuable for students and engineers working on autonomous navigation, real-time vision systems, and adaptive distributed computing, offering practical solutions that balance computational efficiency with robust performance.