Robohub.org
 

Robot-assisted search and rescue conducts joint training exercise with Italian Coast Guard


by and
24 October 2016



share this:
Credit: CRASAR

Credit: CRASAR

The Center for Robot-Assisted Search and Rescue (CRASAR) at Texas A&M Engineering Experiment Station conducted a joint training exercise with the Italian Coast Guard in Genoa, Italy to prevent future migrant drownings in the Mediterranean. Over the course of three days the exercise tested EMILY, a lifeguard assistant unmanned surface vehicle, a Fotokite tethered unmanned aerial vehicle, and LTE cellular communications. The goal is to accelerate research in robotics, sensors, and networks for marine mass casualty events as a crisis response.

To help save migrants, the CRASAR team is testing a computer program that allows an autonomous Emily to drive near a cluster of people in need of help and to position itself in a way that allows the greatest number of people to grab on. This, in turn, frees up the lifeguard to get to people in immediate distress.

The joint exercise was arranged by Prof. Gianluca Antonelli, University of Cassino, and Prof. Pino Casalino, through the Interuniversity Center of Integrated Systems for the Marine Environment (ISME), a consortium of seven Italian universities in conjunction with the Italian Coast Guard Genova, led by Commander Massimo Kothmeir. The ISME team, node of Cassino, was  led  by  Prof.  Gianluca Antonelli with 3 collaborators/PhD students (Elisabetta Cataldi, Paolo Di Lillo, Daniele Di Vito).

Credit: CRASAR

Credit: CRASAR

In January 2016, CRASAR deployed EMILY robots to Greece during the wave of migrations from Turkey. Two EMILYs are currently in use by the Hellenic Coast Guard and Hellenic Red Cross, and the Hellenic Coast Guard credited CRASAR with recently saving over two dozen refugees trapped in high seas.

The exercise identified major differences between the Turkey-Greece and Africa-Italy migrations that affect unmanned system design, resulting in new research directions in autonomous navigation, human-robot interaction with victims in the water, and the use of UAVs to direct lifeguard assistant robots and provide situation awareness to responders and their supervisors on shore.

Credit: CRASAR

Credit: CRASAR

The CRASAR team was led by Prof. Robin Murphy with 2 graduate students (Grant Wilde, Jan Dufek) and 1 undergraduate (Rebecca Schofield) from computer science and engineering and EMILY creator, Tony Mulligan of Hydronaulix, and medical expert, Lynn Marie Kelly-Mulligan. Dr. Walt Magnussen of the Texas A&M Internet2 Technology Evaluation Center also participated.

CRASAR is funded by the National Science Foundation.



tags:


Robin Murphy is a Raytheon Professor of Computer Science and Engineering at Texas A&M University and Vice-President of the not-for-profit Center for Robot-Assisted Search and Rescue
Robin Murphy is a Raytheon Professor of Computer Science and Engineering at Texas A&M University and Vice-President of the not-for-profit Center for Robot-Assisted Search and Rescue

Gianluca Antonelli is an Associate Professor at the University of Cassino and Southern Lazio.
Gianluca Antonelli is an Associate Professor at the University of Cassino and Southern Lazio.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?

Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu

  24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence