Yuvarajoo Subramaniam

University of Technology Malaysia, Robotics Research (United States)

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About

Yuvarajoo Subramaniam is a researcher whose work bridges robotics, automation, and food processing technology. His key research areas include machine vision, robotic manipulation, sensor design, and simultaneous localization and mapping (SLAM) for unmanned ground vehicles. Subramaniam’s most notable contribution is his pioneering work on automating edible bird nest processing using machine vision and a robotic arm—a project that addresses a critical bottleneck in Malaysia’s high-demand bird nest industry. This work, his most cited with 13 citations, demonstrates how robotics can enhance efficiency and quality in traditional food production. He also developed an adaptive phototransistor sensor array for line-finding in wheeled mobile robots (10 citations), improving localization accuracy under varying ambient light. In SLAM research, Subramaniam applied the Unscented Kalman Filter to handle observation outliers in unmanned ground vehicle navigation, advancing robustness in autonomous mapping. His work stands out for its practical, industry-focused applications—combining sensing, control, and automation to solve real-world challenges in both agriculture and mobile robotics. Subramaniam’s contributions highlight the growing role of intelligent automation in transforming traditional industries and autonomous systems.