A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation
Abstract
Accidents and attacks that involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances are rare, but can be of high consequence. Since the investigation of such events is not anybody's routine work, a range of AI techniques can reduce investigators' cognitive load and support decision-making, including: planning the assessment of the scene; ongoing evaluation and updating of risks; control of autonomous vehicles for collecting images and sensor data; reviewing images/videos for items of interest; identification of anomalies; and retrieval of relevant documentation. Because of the rare and high-risk nature of these events, realistic simulations can support the development and evaluation of AI-based tools. We have developed realistic models of CBRNE scenarios and implemented an initial set of tools.
Cite
Text
Smyth et al. "A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/863Markdown
[Smyth et al. "A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/smyth2018ijcai-virtual/) doi:10.24963/IJCAI.2018/863BibTeX
@inproceedings{smyth2018ijcai-virtual,
title = {{A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation}},
author = {Smyth, David L. and Fennell, James and Abinesh, Sai and Karimi, Nazli B. and Glavin, Frank G. and Ullah, Ihsan and Drury, Brett and Madden, Michael G.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2018},
pages = {5862-5864},
doi = {10.24963/IJCAI.2018/863},
url = {https://mlanthology.org/ijcai/2018/smyth2018ijcai-virtual/}
}