Budi Rahmani

Gunadarma University, Universitas Gadjah Mada

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About

Budi Rahmani is a robotics researcher whose work centers on vision-based navigation and obstacle mapping for autonomous robots. His research focuses on developing practical, real-time systems that enable robots to perceive and move through their environments using visual data. Rahmani’s most significant contribution is his comprehensive review of vision-based robot navigation methods, which has garnered 8 citations and serves as a foundational resource for researchers in the field. He has pioneered innovative mapping techniques, including the Grid-Edge-Depth Map, which uses stereo cameras and edge detection to create efficient 2D representations of obstacles. His work on smart real-time navigation systems, where humanoid robots track colored objects to estimate distance, demonstrates his commitment to low-cost, accessible solutions. Rahmani’s early models of obstacle mapping have laid the groundwork for more advanced spatial awareness in wheeled robots. With a publication record spanning from 2015 to 2019, his research continues to influence the development of practical, vision-driven navigation systems for indoor robotics applications.