2020
IJCAI
IJCAI 2020
Strategies for Cooperative UAVs Using Model Predictive Control
Abstract
Unmanned aerial vehicles (UAVs) have reached significant maturity over several years for safe civilian operations like mapping, search and rescue. The operation performance can be significantly improved by deploying multiple cooperating UAVs and optimal decision making. In this work, we present the use of nonlinear model predictive control (NMPC) for two different applications involving cooperative UAVs.
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Interdisciplinary Bridge
— Machine Learning and Reinforcement Learning
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Keyword Pioneer
— cooperative uav
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio
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Hot Topic Early Bird
— decision making
Authors
Topics
Machine Learning > Optimization & Theory > Optimization
Reinforcement Learning > Methods > Multi-Agent Systems
Reinforcement Learning > Applications > Robotics
Robotics > Systems > Control Systems
Machine Learning > Learning Types > Multi-Agent Systems
Mathematics & Optimization > Optimization > Optimal Control