Ahmad Zarkasi

About

Ahmad Zarkasi is a researcher whose work lies at the intersection of robotics, artificial intelligence, and autonomous navigation systems. His research focuses on developing intelligent control mechanisms for mobile robots, with particular emphasis on facial pattern recognition for movement control and fuzzy logic systems for autonomous navigation in challenging environments. Zarkasi's most cited work, "Robot movement controller based on dynamic facial pattern recognition" (2021, 7 citations), proposes a novel navigation technique that addresses the resource constraints of embedded platforms in mobile robots. He has made significant contributions to underwater robotics through his work on sonar-based navigation using fuzzy logic methods, and to autonomous surface vehicles through the application of Fuzzy Kohonen Networks for obstacle avoidance. Beyond his technical publications, Zarkasi demonstrates a commitment to education and community engagement, as evidenced by his robotics training program for middle school students in Palembang, Indonesia. His research, while still developing in citation impact, shows promise in advancing practical, resource-efficient solutions for autonomous robot navigation across terrestrial, underwater, and surface environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Robot movement controller based on dynamic facial pattern recognition

   7 citations · 2021
2. 2
   Pelatihan Pengenalan Aplikasi Robotika pada Siswa SMP Negeri 1 Palembang

   6 citations · 2019
3. 3
   Artificial Intelligence in Underwater Robot Navigation Using Sonar Sensors with Fuzzy Logic Method

   3 citations · 2019
4. 4
   Autonomous Surface Vehicle (ASV) Obstacle Avoidance Using Fuzzy Kohonen Network (FKN)

   2 citations · 2019

Key Collaborators

Contact & Links