Wee Yang Ricky Yap
Papers
1
Total Citations
2
H-Index
1
About
Wee Yang Ricky Yap is a researcher in multi-agent robotic systems, with a focus on formation control and obstacle avoidance strategies for autonomous robot teams. His work addresses the critical challenge of coordinating multiple robots to navigate dynamic environments while maintaining formation integrity and avoiding collisions. Yap’s most-cited paper, "Formations Strategies for Obstacle Avoidance with Multi Agent Robotic System" (2013), explores decentralized approaches that enable robots to adapt their spatial configurations in real time, ensuring safe and efficient movement through cluttered spaces. Though his citation count is modest, this foundational study contributes to the broader field of swarm robotics and cooperative autonomy, offering insights into scalable algorithms for applications like search-and-rescue, environmental monitoring, and industrial automation. Yap’s research underscores the importance of balancing local interactions with global formation goals, a key challenge in multi-agent systems. His work remains relevant for students and engineers seeking practical solutions for robust, decentralized robot coordination in unpredictable settings.
Research Focus
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Top Papers
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