Papers
19
Total Citations
123
H-Index
7
About
Thierry Soriano is a multidisciplinary robotics and automation researcher whose work spans swarm robotics, autonomous systems, underwater drones, and electromagnetic actuators. His research is particularly distinguished by its focus on collaborative and distributed intelligence, encompassing UAV swarm modeling, automated guided vehicles, and multi-robot simultaneous localization and mapping (SLAM). Soriano's development of UavSwarmML, a dedicated SysML model for UAV swarm systems, represents a notable contribution to formal swarm engineering methodology, addressing a recognized gap in structured design frameworks for robotic collectives. His investigations into formation control of low-cost underwater drones using distributed adaptive neural networks demonstrate a commitment to making sophisticated robotics accessible in hazardous, real-world environments. Beyond aerial and aquatic systems, Soriano has made meaningful contributions to electromagnetic launcher optimization, particularly coil gun systems applied to soccer robotics — a domain where he has also explored probabilistic multi-agent decision-making strategies. His earliest cited work dates to 1993, reflecting a career of remarkable breadth. With over 99 cumulative citations across diverse fields, Soriano's research consistently bridges theoretical modeling and practical engineering, making him a valuable reference for students working at the intersection of autonomous systems, mechatronics, and intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1A new SysML Model for UAV Swarm Modeling: UavSwarmML15 citations · 2022
- 2<i>ASTEC</i>: an automated system for sitting-drop protein crystallization14 citations · 1993
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