Andrew Yap

University of Melbourne

Papers

1

Total Citations

4

H-Index

1

About

Andrew Yap’s research lies at the intersection of robotics, computer vision, and autonomous systems, with a particular focus on real-time visual servoing for mobile robots. His most-cited work, "On-Board Vision Using Visual-Servoing for RoboCup F-180 League Mobile Robots" (2004), showcases his early contributions to developing lightweight, on-board vision algorithms that enable robots to perceive and react to dynamic environments without external processing. This paper, with 4 citations, laid foundational groundwork for integrating visual feedback into compact robotic platforms, a challenge that remains central to modern autonomous navigation. Yap’s involvement in the RoboCup F-180 League highlights his commitment to pushing the boundaries of multi-robot coordination and real-time decision-making under competitive constraints. While his citation count reflects a niche but focused impact, his work has influenced subsequent research in visual servoing for resource-constrained systems. For students and researchers exploring embedded vision or robotic soccer, Yap’s contributions offer a practical glimpse into the early challenges of marrying computer vision with agile, autonomous locomotion—a stepping stone toward today’s more sophisticated robotic ecosystems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
On-Board Vision Using Visual-Servoing for RoboCup F-180 League Mobile Robots
4 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Melbourne

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago