IJCAI 2020poster0 citations
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.
Robotics: Multi-Robot SystemsRobotics: Localization, Mapping, State EstimationRobotics: Motion and Path PlanningAgent-based and Multi-agent Systems: Coordination and Cooperation
BibTeX
@inproceedings{ijcai2020p738,
title = {Strategies for Cooperative UAVs Using Model Predictive Control},
author = {Manoharan, Amith},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {5196--5197},
year = {2020},
month = {7},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2020/738},
url = {https://doi.org/10.24963/ijcai.2020/738},
}