Max Robotics — Global Service Robot Directory + US Certification

About

Achmad Ubaidillah is a robotics researcher whose work focuses on autonomous navigation, path planning, and real-time control systems for mobile and soccer robots. His major contributions lie in integrating algorithms like Dijkstra’s shortest path with odometry to enable warehouse mobile robots to navigate efficiently and avoid obstacles, as demonstrated in his most-cited paper (11 citations). He also advances trajectory tracking for soccer robotics, where dynamic environments demand rapid, optimal path adjustments. Ubaidillah’s research addresses key challenges in Industry 4.0, transitioning from manual to cyber-physical production systems, and includes the development of video-sender-based surveillance robots. His work has practical implications for logistics automation and competitive robotics, with his top-cited paper highlighting the growing demand for resource-efficient, error-reducing robotic solutions. By combining theoretical algorithms with applied robotics, Ubaidillah contributes to making autonomous systems more reliable and responsive in real-world settings.