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About

Leonardus Heru Pratomo is a researcher specializing in robotics, autonomous systems, and embedded computing, with a particular focus on Automated Guided Vehicle (AGV) technology and computer vision applications in industrial automation. His work centers on designing and implementing intelligent robotic systems capable of navigating and operating autonomously in warehouse and industrial environments, leveraging accessible platforms such as the Raspberry Pi to make sophisticated robotics more practical and cost-effective. Among his most significant contributions is his development of computer vision-based navigation systems for AGVs, including pattern recognition techniques for precise positional detection — research that has garnered 10 and 4 citations respectively, reflecting strong interest from the robotics community. His collaborative work on smart forklift AGV systems, cited 6 times, demonstrates a talent for integrating mechanical design with intelligent control systems to address real-world material handling challenges. More recently, his research into OCR-enhanced AI text recognition for AGV localization highlights his commitment to improving the accuracy and reliability of autonomous systems. With a cumulative citation count exceeding 25 across his published works, Pratomo has established himself as a meaningful contributor to applied robotics research, particularly in bridging industrial automation needs with embedded computing solutions.