RINAO aims to implement and validate an architecture for a novel method of autonomous sUAS operator command & control for use in public safety emergencies, with an initial focus on search & rescue. The architecture will implement autonomous decision-making algorithms and human-autonomy interaction methods (including sketch-based interaction) recently validated in simulation and human subject studies. The result will be a compact and fieldable full-scale system, with a supporting software reference implementation that can be readily adapted to other collaborative human-autonomy information gathering sUAS missions. The realized system will be tested by first responders of the Boulder Emergency Squad (BES) in relevant environments, such as the Boulder County Regional Fire Training Center.
H. M. Ray, R. Singer and N. Ahmed, “A Review of the Operational Use of UAS in Public Safety Emergency Incidents,” 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 2022, pp. 922-931, doi: 10.1109/ICUAS54217.2022.9836061. (Link)
H. M. Ray, N. Conlon, Z. Sunberg, and N. Ahmed, “User Preference Elicitation for Unmanned Aircraft System Collaborative Search,” AIAA SCITECH 2022 Forum, p. 2343, 2021. (Link)
L. Burks, H. M. Ray, J. McGinley, S. Vunnam, N. Ahmed, “HARPS: An Online POMDP Framework for Human-Assisted Robotic Planning and Sensing,” arXiv:2110.10324 [cs], Feb. 2022, Available: http://arxiv.org/abs/2110.10324