Ghali Sriram

Papers

Total Citations

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About

Ghali Sriram is a robotics and artificial intelligence researcher whose work bridges autonomous systems and agricultural technology. His key research areas include mobile robotics, human-robot interaction, and machine learning applications in precision agriculture. Sriram’s most notable contribution is the implementation of a person-following robot on the ROS-Gazebo platform, which demonstrated how autonomous mobile robots can assist humans by carrying heavy loads to designated locations while safely tracking and following individuals—a foundational step toward practical service robotics. This work has garnered 15 citations, reflecting its relevance to the growing field of collaborative robotics. In parallel, Sriram developed a novel MIN-SVM algorithm for classifying coconut trees based on height, inclination, and orientation, achieving 11 citations and showcasing his ability to apply machine learning to real-world agricultural challenges. His research not only advances autonomous navigation and human-robot collaboration but also demonstrates the potential of AI-driven solutions for sustainable farming. Sriram’s work continues to inspire students and researchers exploring the intersection of robotics, computer vision, and environmental monitoring.