Papers
6
Total Citations
90
H-Index
4
About
Emanuel Pablo Vega is a robotics and marine engineering researcher whose work centers on the design, modeling, and optimization of propulsion systems for Autonomous Underwater Vehicles (AUVs). His most significant contribution is the development of the Reconfigurable Magnetic Coupling Thruster (RMCT), an innovative technology that enables vectorial thrust generation on AUVs, dramatically enhancing their agility and adaptability for complex underwater missions. First introduced in a 2016 paper that has garnered 26 citations, this work established a validated design framework that has since influenced the field of underwater robotics. Vega has further extended this research by applying genetic and evolutionary optimization algorithms to dynamically reconfigure AUV propulsion systems, enabling intelligent adaptation to mission demands — work that has attracted 24 citations. His earlier contributions, including comprehensive modeling analyses and simulation-based evaluations of fixed and vectorial propulsion systems, laid essential groundwork for the field, collectively accumulating over 50 citations across his published work. Through this body of research, Vega has made meaningful advances in making underwater vehicles more capable, efficient, and autonomously adaptable for real-world maintenance and exploration tasks.
Research Focus
Key Achievements
Top Papers
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- 4AUV Propulsion Systems Modeling Analysis14 citations · 2014
- 5Evolutionary Dynamic Reconfiguration of AUVs for Underwater Maintenance4 citations · 2017
- 6