Carnegie Mellon University in Qatar’s (CMU-Q) Associate Teaching Professor Gianni Di Caro is using artificial intelligence and a fleet of autonomous marine robots to better explore the marine environment around Qatar.
To better understand marine environments, researchers create information maps of data such as depth, water quality and salinity. This information is critical for a country like Qatar, which balances offshore oil and gas operations with the preservation and sustainability of a fragile marine ecosystem.
Typically, information maps are created by a manually operated boat sampling data at pre-defined points, one at-a-time and sharing that information every a few months. Di Caro said this method has serious drawbacks, including the fact that sampling is sequential and static. It also doesn’t adaptively select where to sample based on gathered evidence, since data processing is done offline.
Di Caro’s team has rethought the process and is using artificial intelligence to coordinate a fleet of unmanned and relatively small aerial and marine robots to gather data over a large area.
“Using this swarm approach allows sampling data from different locations at the same time and continually and automatically adapting the mission to freshly gathered data, resulting in more accurate maps,” said Di Caro, who teaches computer science.
The project is called Teams of Aquatic/Aerial Robots for Marine Environment Monitoring, or TARMEM, and is funded by a grant to CMU-Q from the Qatar National Research Fund (QNRF). Led by Di Caro, the team also includes Italian investigators Filippo Arrichiello from the University of Cassino and Southern Lazio, and Enrico Simetti from the University of Genova.
While the swarm approach improves efficiency and accuracy in map building, it is a very complex task to coordinate a fleet of autonomous air and sea robots.
“One immediate complication is that the aerial vehicles run out of power relatively quickly,” said Di Caro. “We have therefore designed the system so the robot boats also serve as carriers and recharging stations. This enables us to execute missions over longer periods of time, in fully unattended modality.”
Artificial intelligence methods are used throughout the system to coordinate the complexity of multiple autonomous vehicles collecting and sharing data while also navigating unpredictable environmental conditions. AI methods allow for the online distributed planning of sampling activities, collision-free navigation while maintaining network connectivity, distributed data sharing, and seamless interaction between the robots in the air and those in the water.
Because of this extensive, innovative use of AI methods, TARMEM was selected for the QNRF Research Outcome Seminar on Artificial Intelligence, and the QNRF Research Matters newsletter.
The multi-year project will next focus on validation and outdoor testing in marine environments.
In 2004, Carnegie Mellon and the Qatar Foundation began a partnership to deliver select programs that will contribute to the long-term development of Qatar. Today, Carnegie Mellon Qatar offers undergraduate programs in Biological Sciences, Business Administration, Computer Science and Information Systems. More than 400 students from 52 countries call Carnegie Mellon Qatar home.
Graduates from CMU-Q are pursuing their careers in top organizations within Qatar and around the world, and many have started their own entrepreneurial ventures. With 13 graduating classes, the total number of alumni is nearly 1,000.