Azrul Amri Jamal

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About

Azrul Amri Jamal is a robotics researcher whose work focuses on advancing path planning algorithms for autonomous systems, particularly through innovative applications of Dijkstra’s algorithm. His primary research areas include single- and multi-robot navigation, indoor path planning, and efficient data structures for algorithmic optimization. Jamal’s most significant contribution is his development of a multi-layer dictionary approach to Dijkstra’s algorithm, which addresses the classic limitation of large storage space required by adjacency matrices. This innovation, detailed in his highly cited 2015 paper (66 citations), enables more efficient path planning in indoor environments by discretizing floor plans into grids and identifying critical cells for navigation. He extended this work to multi-robot systems in 2021, tackling the added complexity of coordinating multiple autonomous agents. Jamal’s research has practical implications for warehouse automation, service robotics, and smart building navigation. His 2015 paper stands as his most impactful work, demonstrating a clear optimization of a foundational algorithm that remains widely used in robotics and computer science education.