Edi Rakhman

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About

Edi Rakhman is an Indonesian researcher whose work centers on robotics, autonomous systems, and human-computer interaction technologies. His research demonstrates a practical focus on developing intelligent systems that bridge the gap between theoretical computing methods and real-world applications, particularly in mobility and vehicle control. Among his most recognized contributions is his 2019 work on autonomous mobile robots (AMR) utilizing odometry methods, which addresses the significant challenge of indoor and restricted-area navigation where conventional GPS systems fall short. This paper has garnered 4 citations, reflecting its relevance to both industrial and domestic robotics applications. His earlier 2018 study on hand gesture recognition, combining Augmented Reality with Fuzzy Logic for remote vehicle control, has earned 2 citations and highlights his interest in intuitive human-machine interfaces that can reduce risk in hazardous driving environments. Rakhman's research sits at an important intersection of embedded systems, sensor-based navigation, and intelligent control algorithms. While his citation profile is still developing, his contributions speak to emerging needs in automation and assistive technologies, making his work particularly relevant for students and engineers exploring robotics, AR-integrated control systems, and autonomous vehicle research in developing technological contexts.