Papers
2
Total Citations
4
H-Index
2
About
Alok Agrawal’s research centers on the design and control of spherical underwater robots, with a particular focus on intelligent station-keeping and energy-efficient thrust allocation. His work addresses the critical challenge of maintaining stable, precise positioning for underwater vehicles operating in dynamic environments. In his 2015 paper, Agrawal introduced a genetic algorithm-based approach for station-keeping, enabling a spherical robot equipped with water-jetted bilge pump thrusters to achieve six-degree-of-freedom equilibrium. This method optimizes thrust magnitude and direction to ensure safe, stable operation. His earlier 2013 study developed an optimal thrust allocator for the same robot platform, prioritizing energy efficiency while maintaining force and moment balance. Although each paper has garnered 2 citations, their contributions are foundational for researchers exploring bio-inspired or compact underwater vehicles. Agrawal’s work is notable for integrating intelligent control algorithms with practical hardware constraints, offering a pathway toward more autonomous and energy-conscious underwater exploration. His research is particularly valuable for students and engineers interested in robotics, control systems, and marine technology.
Research Focus
Key Achievements
Top Papers
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