Ahmad Cucus

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About

Ahmad Cucus is a researcher whose work sits at the intersection of robotics, autonomous navigation, and bio-inspired engineering. Based at an Indonesian institution, Cucus has dedicated his research to advancing mobile robot capabilities, with a particular focus on obstacle avoidance systems and intelligent control mechanisms. His 2020 study on automating obstacle avoidance in mobile robots using the Fuzzy Sugeno method and Arduino microcontrollers demonstrated a practical and accessible approach to improving robotic navigation accuracy — work that has since garnered 5 citations and reflects his commitment to bridging theoretical methods with real-world applications. Building on this foundation, his 2024 paper on the development of an obstacle-avoiding fish robot represents a compelling leap into bio-inspired robotics, drawing from the remarkable hydrodynamic efficiency of fish to inform robotic swimming design — earning 4 citations in a short time. Together, these contributions highlight Cucus's evolving research trajectory from terrestrial autonomous systems to aquatic bio-mimetic robotics. His work is especially relevant for students and engineers exploring embedded systems, fuzzy logic control, and nature-inspired robot design within resource-conscious engineering contexts.