Yogendra Rao Musunuri
Papers
2
Total Citations
8
H-Index
2
About
Yogendra Rao Musunuri is a pioneering researcher in underwater robotics and autonomous systems, with a focused interest in the design and control of biomimetic fish robots for aquarium environments. His work centers on solving the fundamental challenge of localizing and tracking robotic fish without relying on onboard sensors or internal devices. In his 2016 paper "Design of aquarium robot world using detecting fish robot position method" (4 citations), Musunuri introduced an innovative external tracking approach that enables precise position detection of fish robots, laying the groundwork for more natural and unobtrusive underwater robotic systems. Expanding on this, his companion paper "Realization of aquarium robot holographic world using 3 axes tracking optical flow detecting method" (4 citations) achieved three-axis positional control along a trajectory path, using optical flow techniques to create a holographic aquarium world. Though early in citation impact, these contributions represent foundational steps toward immersive, sensor-free robotic ecosystems. Musunuri’s work bridges robotics, computer vision, and marine biology, offering a novel paradigm for human-robot interaction in aquatic settings. His research is particularly valuable for students and engineers interested in low-cost, non-invasive tracking methods and the future of autonomous underwater vehicles in controlled environments.
Research Focus
Key Achievements
Top Papers
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