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Distributed and Constrained Optimal Transport of Large-scale, Heterogenous, Multi-agent Sy — NSF Award to University of California

Advances in sensing, artificial intelligence, computation and communication are enabling the deployment of large networks of autonomous systems, such as drones, ground robots, and other mobile agents, across diverse applications including search and rescue, environmental monitoring, precision agriculture, and transport

Award titleDistributed and Constrained Optimal Transport of Large-scale, Heterogenous, Multi-agent Sy
Award ID2517906
AwardeeUniversity of California-San Diego
CityLA JOLLA
StateCA
Amount obligated$519,563
Principal investigatorSonia Martinez
ProgramDynamics, Control and System D
Start date09/01/2025
AbstractAdvances in sensing, artificial intelligence, computation and communication are enabling the deployment of large networks of autonomous systems, such as drones, ground robots, and other mobile agents, across diverse applications including search and rescue, environmental monitoring, precision agriculture, and transportation. The research funded by this grant aims to create new mathematical tools and algorithms that allow large groups of autonomous agents to operate safely, efficiently, and colla
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