Strategies for Cooperative UAVs Using Model Predictive Control
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Doctoral Consortium. Pages 5196-5197. https://doi.org/10.24963/ijcai.2020/738
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.
Robotics: Multi-Robot Systems
Robotics: Localization, Mapping, State Estimation
Robotics: Motion and Path Planning
Agent-based and Multi-agent Systems: Coordination and Cooperation