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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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization and Reinforcement Learning and Robotics
🐣 Hot Topic Early Bird - unmanned aerial vehicle

Authors

Amith Manoharan

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

Keywords

decision making model predictive control optimal control unmanned aerial vehicle trajectory planning cooperative system cooperative uav nonlinear mpc multi-agent system
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