Firdaus Sukarman

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About

Firdaus Sukarman is a researcher at the forefront of evolutionary robotics and automated control systems, with a primary focus on applying Grammatical Evolution (GE) to generate adaptive robot behaviors. His most-cited work, "Auto-generated Control Program in Mobile Robot using Grammatical Evolution" (2022), addresses a critical challenge in modern automation: the increasing complexity of programming diverse robotic platforms. By demonstrating that GE can autonomously synthesize control programs for mobile robots in real-world environments, Sukarman bridges the gap between theoretical evolutionary computation and practical deployment—a step that many studies have proposed but few have validated. With 2 citations, this paper serves as a foundational proof-of-concept for researchers seeking to reduce manual coding in robotics. Sukarman’s contributions are particularly valuable for students and engineers working on swarm robotics or industrial automation, where rapid, adaptive control generation can significantly accelerate development cycles. His work underscores a commitment to making robot programming more accessible and efficient, positioning him as a rising voice in the intersection of artificial intelligence and embodied systems.