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About

Eki Ahmad Zaki Hamidi is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, multi-robot coordination, and intelligent control systems. His research has made meaningful contributions to the development of Automatic Guided Vehicle (AGV) systems, particularly through innovative approaches to multi-robot communication and maneuver control. His most cited work, "ANN Design Model to Recognize The Direction of Multi-Robot AGV" (2021, 7 citations), demonstrates his expertise in applying artificial neural networks to solve complex robot navigation challenges, while his investigations into inverted camera-based navigation and fuzzy logic control offer practical, cost-effective alternatives to conventional robot guidance systems. Beyond AGV research, Hamidi has broadened his contributions to include hexapod robot obstacle avoidance using Finite State Machine design, wheeled soccer robot vision systems, and swerve drive mechanisms for autonomous mobile platforms — reflecting a versatile command of both hardware and software dimensions of robotics. His work consistently bridges theoretical modeling with prototype implementation, making it particularly valuable for engineering practitioners and students. With a growing body of publications spanning 2021 to 2023 and accumulating citations across multiple robotics subfields, Hamidi is an emerging voice in autonomous mobile robotics research whose practical, application-driven approach continues to gain recognition within the academic community.