The Autonomous Systems Laboratory is a research group within
the Center for Integrated Emergency
Management at the University of
Agder, Norway. Its main objective is to advance the research
front in the area of autonomous systems by developing algorithms
and methodologies that enable decision-making in (possibly aerial)
robotic, cyberphysical, and embedded systems without human
supervision.
In addition to fundamental contributions in machine learning,
artificial intelligence, signal processing, and control theory,
the lab targets specific goals in the context of the CIEM
research area described next.
Technologies for augmenting response capabilities in emergency management operations
Operational conditions in emergency management operations are
challenging by definition and often impaired by lack of
visibility, extreme temperatures or weather, limited
communication and situational awareness, remoteness of the
operation site, and high risk for the responders. The focus of
this research area will be to endow response teams with the
required technological capabilities to counteract or alleviate
the impact of these conditions.
This research will be conducted along two directions:
Swift deployment of the infrastructure necessary to enable
the communication, coordination, and situational awareness in
operation sites. This includes ad-hoc flying base stations, UAVs
with sensing capabilities (e.g., cameras, infrared cameras, wind
sensors, radio tomography sensors, etc.), and wearable equipment
(e.g., for communication, localization, sensing).
Robotic equipment to carry out interventions in areas where
humans cannot enter due to their high risk or inaccessibility,
such as buildings on fire, collapsed buildings, wrecks, and
underwater environments to name a few.
Apr. 21, 2022. We are pleased to announce the opening of a PhD position in our project AirBonnet, which deals with providing wireless connectivity in crowded or remote areas as well as in emergency situations. Deadline: May 23.
Feb. 1, 2022. Next Feb. 15, Daniel will be joining the Dept. of ECE of the University of California, San Diego, as a visiting scholar.
Feb. 1, 2022. Check out our new submission "Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography
". This is a collaboration with Prof. Seung-Jun Kim from the University of Maryland, Baltimore County, and has been submitted to the IEEE Signal Processing Magazine.