Achmad Fiqhi Ibadillah

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About

Achmad Fiqhi Ibadillah is an emerging researcher specializing in robotics, computer vision, and intelligent systems, with a particular focus on autonomous navigation and agricultural technology applications. His work bridges the gap between theoretical robotics and practical real-world deployment, demonstrating a consistent drive to engineer smarter, more adaptive robotic systems. Ibadillah's most recognized contribution, "Rancang Bangun Robot Penghindar Halangan Berbasis Kamera Menggunakan Deteksi Kontur" (2017, 4 citations), pioneered a camera-based obstacle avoidance system utilizing contour detection — a significant advancement over conventional distance-sensor approaches, enabling robots to simultaneously avoid obstacles while identifying target locations. Building on his trajectory work, his 2022 study on soccer robotics (2 citations) explored optimized path planning in dynamic environments, addressing the complex challenge of balancing speed and obstacle awareness in competitive robotic scenarios. Most recently, Ibadillah expanded his vision-based expertise into marine agriculture, applying K-Nearest Neighbor algorithms to detect ice-ice disease in seaweed through remote sensing technology (2024). This interdisciplinary leap highlights his growing ambition to leverage robotic intelligence for environmental and food security challenges, marking him as a versatile researcher whose work continues to evolve across impactful domains.