Ardiansyah Al Farouq
Universitas Negeri Surabaya, Robotics Research (United States), Ritsumeikan University
Papers
8
Total Citations
36
H-Index
3
About
Ardiansyah Al Farouq is a robotics researcher whose work centers on computer vision, autonomous navigation, and humanoid robot perception. His most significant contributions revolve around the "FloW" humanoid robot platform, where he pioneered methods for merging depth images from stereo cameras and structure sensors to enhance environmental understanding. His foundational paper, "Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot 'FloW' Vision" (2017), has accumulated 10 citations, establishing his early impact in real-time 3D mapping and obstacle recognition. Al Farouq's research extends to practical applications, including a rescue robot system using Viola-Jones detection for disaster scenarios and a delivery service robot with integrated rotary encoder, IMU, and ROS localization. More recently, he has advanced into deep reinforcement learning, proposing a novel framework combining DRL with cellular automata for improved robot navigation in dynamic environments. His work on field-oriented control drivers for physiotherapy robots demonstrates a commitment to socially beneficial robotics. With a growing citation record and contributions spanning perception, control, and AI-driven navigation, Al Farouq is shaping the future of autonomous systems that can adapt and operate in complex, real-world settings.
Research Focus
Key Achievements
Top Papers
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