ML Anthology

Real-Time UAV Maneuvering via Automated Planning in Simulations

Miquel Ramírez, Michael Papasimeon, Lyndon Benke, Nir Lipovetzky, Tim Miller, Adrian R. Pearce
IJCAI 2017 pp. 5243-5245
doi:10.24963/IJCAI.2017/778 /ijcai/2017/ramirez2017ijcai-real/

Abstract

The automatic generation of realistic behavior such as tactical intercepts for Unmanned Aerial Vehicles (UAV) in air combat is a challenging problem. State-of-the-art solutions propose hand-crafted algorithms and heuristics whose performance depends heavily on the initial conditions and specific aerodynamic characteristics of the UAVs involved. This demo shows the ability of domain-independent planners, embedded into simulators, to generate on-line, feed-forward, control signals that steer simulated aircraft as best suits the situation.

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Cite

Text

Ramírez et al. "Real-Time UAV Maneuvering via Automated Planning in Simulations." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/778

Markdown

[Ramírez et al. "Real-Time UAV Maneuvering via Automated Planning in Simulations." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/ramirez2017ijcai-real/) doi:10.24963/IJCAI.2017/778

BibTeX

@inproceedings{ramirez2017ijcai-real,
  title     = {{Real-Time UAV Maneuvering via Automated Planning in Simulations}},
  author    = {Ramírez, Miquel and Papasimeon, Michael and Benke, Lyndon and Lipovetzky, Nir and Miller, Tim and Pearce, Adrian R.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {5243-5245},
  doi       = {10.24963/IJCAI.2017/778},
  url       = {https://mlanthology.org/ijcai/2017/ramirez2017ijcai-real/}
}