Juan Martinez-Piazuelo
Papers
1
Total Citations
4
H-Index
1
About
Juan Martinez-Piazuelo is a researcher whose work lies at the intersection of distributed control theory, multi-agent systems, and robotics. His primary contributions focus on developing novel, biologically-inspired algorithms for coordinating teams of autonomous mobile robots. In his most-cited work, "Distributed Formation Control of Mobile Robots Using Discrete-Time Distributed Population Dynamics" (2020), he introduced a groundbreaking class of discrete-time distributed population dynamics. This framework provides a mathematically rigorous method for solving formation control problems, establishing sufficient conditions to guarantee asymptotic stability in practical implementations. By bridging evolutionary game theory with robotic control, Martinez-Piazuelo offers scalable and robust solutions for multi-robot coordination, a critical challenge in fields from warehouse automation to environmental monitoring. His work is foundational for researchers seeking to design decentralized systems that are both theoretically sound and practically deployable.
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Top Papers
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