ML Anthology

Strategies for Cooperative UAVs Using Model Predictive Control

Amith Manoharan
IJCAI 2020 pp. 5196-5197
doi:10.24963/IJCAI.2020/738 /ijcai/2020/manoharan2020ijcai-strategies/

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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Text

Manoharan. "Strategies for Cooperative UAVs Using Model Predictive Control." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/738

Markdown

[Manoharan. "Strategies for Cooperative UAVs Using Model Predictive Control." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/manoharan2020ijcai-strategies/) doi:10.24963/IJCAI.2020/738

BibTeX

@inproceedings{manoharan2020ijcai-strategies,
  title     = {{Strategies for Cooperative UAVs Using Model Predictive Control}},
  author    = {Manoharan, Amith},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {5196-5197},
  doi       = {10.24963/IJCAI.2020/738},
  url       = {https://mlanthology.org/ijcai/2020/manoharan2020ijcai-strategies/}
}