Ilham Muhammad Sidiq
Papers
1
Total Citations
3
H-Index
1
About
Ilham Muhammad Sidiq is an emerging researcher in robotics and automation, with a focus on intelligent navigation systems for multi-legged robots. His work centers on the design and control of hexapod robots, particularly in complex, constrained environments like labyrinths. His most-cited paper, "Rancang Bangun Sistem Navigasi Robot Hexapod 3 DOF di Ruangan Labirin Menggunakan Metode Fuzzy Sugeno Berbasis Arduino" (2020), introduces a fuzzy logic-based navigation system for a three-degree-of-freedom hexapod, enabling autonomous pathfinding and obstacle avoidance using an Arduino microcontroller. This contribution addresses a critical need in industrial automation for robots with robust, adaptive control systems. Though early in his career, with his top paper garnering 3 citations, Sidiq’s work lays important groundwork for practical, low-cost robotic navigation solutions. His research bridges theoretical fuzzy logic with real-world hardware implementation, offering a scalable approach for mobile robots in unstructured settings. As the field moves toward more autonomous systems, Sidiq’s contributions to hexapod locomotion and sensor-based control represent a promising step forward in intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1