Dedi Prasetyo

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About

Dedi Prasetyo is a researcher focused on mobile robotics, particularly in the domain of motion planning and autonomous navigation. His key research areas include online motion planning, simulator-based control systems, and holonomic wheeled robot platforms. Prasetyo’s major contribution is the development of an online motion planning system for mobile robots that leverages a self-built simulator, programmed in Python, to collect real-time data and inform navigation decisions. This work addresses critical challenges in dynamic environments where robots must adapt their paths without precomputed maps. Although his most-cited paper, "Online Motion Planning For Mobile Robot" (2019), has garnered 2 citations, it represents a foundational step toward integrating simulation with physical robot control, offering a practical framework for researchers and students exploring real-time autonomous systems. His emphasis on holonomic wheeled platforms highlights a commitment to versatile, agile robot designs. Prasetyo’s work is particularly valuable for those entering the field of mobile robotics, as it demonstrates a hands-on approach to bridging simulation and real-world deployment, making complex motion planning concepts accessible and implementable.