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First
Shipboard Firefighting
NRL scientists have designed a robot, which can move autonomously throughout the ship and fight fires
Scientists at the Naval Research Laboratory (NRL) have formed an interdisciplinary team to develop a humanoid robot that could fight fires on the next generation of combatants. A humanoid-type robot was chosen because it was deemed best suited to operate within the confines of an environment that was designed for human mobility and offered opportunity for other potential warfighting applications within the Navy and Marine Corps.
The firefighting robot, called the Shipboard Autonomous Firefighting Robot (SAFFiR), is being designed to move autonomously throughout the ship, interact with people, and fight fires, handling many of the dangerous firefighting tasks that are normally performed by humans. The humanoid robot should be able to manoeuvre well in the narrow passages and ladder ways that are unique to a ship and challenging for older, simpler robots to navigate.
The robot is designed with enhanced multi-modal sensor technology for advanced navigation and a sensor suite that includes a camera, gas sensor, and stereo infrared (IR) camera to enable it to see through smoke. Its upper body will be capable of manipulating fire suppressors and throwing propelled extinguishing agent technology (PEAT) grenades. It is battery powered that holds enough energy for 30 minutes of firefighting. Like a sure-footed sailor, the robot will also be capable of walking in all directions, balancing in sea conditions and traversing obstacles.
Another key element of the SAFFiR development is to allow damage control personnel and the robot to work cohesively as a team. Algorithms are being developed to allow autonomous mobility and decision-making by the robot as a team member. To enable natural interaction with a human team leader, the robot will have multi-modal interfaces that will enable the robot to track the focus of attention of the human team leader, as well as to allow the robot to understand and respond to gestures, such as pointing and hand signals. Where appropriate, natural language may also be incorporated as well as other modes of communication and supervision.
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