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About

Ashok Kumar Sivarathri is a rising researcher in the field of collaborative robotics, specializing in the coordination of heterogeneous multi-agent systems, particularly Unmanned Aerial Vehicles (UAVs) and Autonomous Ground Vehicles (AGVs). His work focuses on developing vision-based navigation and control strategies that allow aerial and ground robots to work together effectively, even in GPS-denied environments. Sivarathri’s major contributions include pioneering kinematic modes for vision-based UAV-AGV systems, designing trajectory tracking methods within the image frame for autonomous UAV navigation, and proposing collaborative tracking strategies that enable ground robots to support extended aerial missions. His most-cited paper, “Kinematic modes of vision-based heterogeneous UAV-AGV system” (2022), has garnered 15 citations, reflecting growing interest in his approach to multi-agent coordination. He has also explored innovative concepts such as velocity detection through changes in apparent object size, demonstrating a creative approach to sensor-less perception. With a total of over 30 citations across his published works, Sivarathri is establishing himself as a contributor to the next generation of autonomous robotic systems, with potential applications in inspection, surveillance, agriculture, and environmental mapping.