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Multi-Agent Decentralized Planning for Adversarial Robotic Teams

November 2016 Presentation
James Edmondson

Objective of this work is to allow one person to command an entire swarm of UAS to do mission-level tasks

Publisher:

Software Engineering Institute

Abstract

To meet the challenge of distributed autonomy in real-world robotics, we have created decentralized, multi-agent planning techniques, middleware, and algorithms that take into account a potentially changing adversary model in both simulations and real-world demonstrations with robotic unmanned surface vehicles.