Papers
20
Total Citations
247
H-Index
9
About
Sanjib Kumar Panda is a pioneering researcher whose work spans advanced control systems and biomimetic underwater robotics, two fields where his contributions have left a lasting mark. He first gained recognition with his 2008 work on real-time iterative learning control, which has accumulated 74 citations and established him as a credible voice in intelligent control design and applications. His research trajectory then evolved toward a distinctive specialization in bio-inspired underwater vehicles, particularly robotic fish systems modeled on carangiform locomotion. Panda's most significant contributions lie in applying Sir James Lighthill's slender body mathematical framework to engineer efficient, fish-like propulsion systems for unmanned underwater vehicles (UUVs). His body-caudal fin (BCF) robotic fish research addresses critical challenges in underwater exploration, including power efficiency, maneuverability, and mission endurance. Through dynamic modeling, kinematic analysis, and closed-loop control strategies — including modulated pattern generators and brain-map inspired swimming behaviors — he has systematically advanced the science of biomimetic propulsion across numerous peer-reviewed publications between 2011 and 2015. With a body of work collectively amassing over 190 citations, Panda exemplifies interdisciplinary innovation, bridging biological inspiration with rigorous engineering to shape the future of autonomous underwater exploration.
Research Focus
Key Achievements
Top Papers
- 1Real-time Iterative Learning Control: Design and Applications74 citations · 2008
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- 3Dynamic modeling of variable ballast tank for spherical underwater robot16 citations · 2013
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- 9Model-Based Control of a BCF Mode Carangiform Bioinspired Robotic Fish11 citations · 2014
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