Justin T. Carrillo
Papers
1
Total Citations
3
H-Index
1
About
Justin T. Carrillo is a leading researcher in decentralized swarm robotics and autonomous multi-agent systems, with a primary focus on control strategies for communication-constrained environments. His most cited work, "Decentralized Swarm Control in Communication-Constrained Environments Using a Blended Leader Follower-Artificial Potential Field With Biologically Inspired Interactions" (2023), introduces a novel hybrid control method that combines leader-follower dynamics with artificial potential fields, drawing on biologically inspired interactions to enhance swarm cohesion and navigation. This paper has garnered 3 citations, establishing Carrillo as an emerging voice in the field. His major contribution lies in addressing the critical challenge of limited communication ranges in autonomous ground vehicle swarms, demonstrating how decentralized control can maintain performance even under restrictive conditions. Carrillo’s work bridges theoretical control theory with practical robotic applications, offering scalable solutions for search-and-rescue, environmental monitoring, and defense operations. His research is notable for its interdisciplinary approach, merging robotics, biology, and engineering to create resilient swarm behaviors. As a researcher, Carrillo continues to push the boundaries of autonomous systems, making his work essential reading for students and scholars interested in robust, communication-aware swarm intelligence.
Research Focus
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Top Papers
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