Wai Peng Wong
Papers
1
Total Citations
2
H-Index
1
About
Dr. Wai Peng Wong is a leading researcher in multi-robot systems and autonomous exploration, with a primary focus on developing intelligent, energy-efficient solutions for complex, fragmented environments. Her most significant contribution is the creation of the CERES-Q (Collaborative Energy-aware Reinforcement Exploration System with Q-learning) framework, a modular closed-loop system that enables teams of robots to collaboratively explore and achieve full coverage in unknown, post-disaster-like terrains. This work, published in 2026 and already garnering 2 citations, addresses a critical gap in robotics by systematically integrating collaborative reinforcement learning with energy awareness, ensuring that robot swarms can operate for extended periods without human intervention. Dr. Wong’s research is pivotal for advancing search-and-rescue operations, environmental monitoring, and industrial inspection, where autonomous agents must navigate unpredictable obstacles while conserving power. Her innovative approach to multi-agent coordination and adaptive learning has positioned her as a rising authority in the field, with her work laying the groundwork for more resilient and sustainable autonomous systems. Dr. Wong’s dedication to solving real-world challenges through cutting-edge AI and robotics makes her a compelling figure for students and researchers interested in the future of collaborative autonomous exploration.
Research Focus
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Top Papers
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