Yu Chin Cheng
Tsinghua University, National Taipei University of Technology
Papers
4
Total Citations
26
H-Index
3
About
Yu Chin Cheng is a researcher whose work spans multi-robot systems, software testing, and image retrieval. His most cited paper, "Formation and obstacle avoidance in the unknown environment of multi-robot system" (2009, 14 citations), introduces a leader-following algorithm combined with artificial potential fields, enabling robot teams to maintain formations and navigate unknown environments—a foundational contribution to autonomous swarm robotics. In software engineering, Cheng developed the Test-Duo framework (2013, 6+2 citations), which automates acceptance test generation from annotated use cases, producing ROBOT framework-compatible tests to streamline verification. His work in image retrieval (2009, 4 citations) proposes a simple clustering method for fast person-specific image search, addressing the growing challenge of organizing video data. While his citation counts are modest, Cheng’s contributions demonstrate practical impact across robotics, testing automation, and multimedia retrieval, offering tools and algorithms that bridge theory and application. His research reflects a commitment to solving real-world problems in autonomous systems and software quality, making him a versatile figure in computer science and engineering.
Research Focus
Key Achievements
Top Papers
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