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Writer's pictureH Peter Alesso

The Future of Navy Drones

Updated: Jul 31, 2023

The field of autonomous systems has been constantly expanding over the last few decades. With the help of advances in Artificial Intelligence and Machine Learning, the deployment of autonomous drones by the U.S. military represents an increasingly prevalent trend, with numerous applications for surveillance, intelligence gathering and operations.


AI-enabled autonomous drones are being used by the Navy. Lockheed Martin is developing autonomous systems, with applications ranging from Unmanned Aerial Vehicles (UAVs) to Autonomous Surface Vehicles (ASVs), Autonomous Underwater Vehicles (AUVs) and Unmanned Ground Vehicles (UGVs). By providing detailed information on the technical specifications, capabilities and potential applications of these systems, Lockheed Martin's website offers a valuable resource for anyone interested in the field of autonomous systems.


Examples of Autonomous Drones Deployed by the Navy.

The Fire Scout is an unmanned helicopter that has been in development since 2000. Developed by Northrop Grumman, it is currently operated by the US Navy and can be deployed from both land and ships. The helicopter has a range of 675 km and can reach a top speed of 222 km/h. It is equipped with electro-optical / infrared sensors, radar, a laser rangefinder and a designator, and can operate up to 12 hours at a time. The chopper also has a maximum take-off weight of 2,700 pounds or 1,225 kilograms.


It is widely used by the Navy for intelligence, surveillance, and reconnaissance (ISR) operations. It can fly up to 12 hours and is equipped with advanced sensors such as laser-ranged finders and infrared cameras, making it capable of capturing high-resolution imagery and detecting threats in all types of weather conditions.


The Kaman K-max is a cargo helicopter that can be operated both autonomously and under remote control. Developed by Lockheed Martin and Kaman Aerospace, the drone can carry up to 6,000 pounds of cargo and has a range of 267 kilometers or 166 miles. It can fly at a top speed of 185 km/h, and has an operational altitude of 15,000 feet. It is used primarily by the US Marine Corps to deliver equipment and supplies, and it is also used by civilian organizations in the United States, including the Bureau of Land Management and the U.S. Department of Agriculture.


It is used by the Navy to deliver goods and supplies to troops in the field. With a range of up to 150 miles, it can transport cargo weighing up to 6,000 pounds, including ammunition and fuel. Its autonomous capabilities make it ideal for missions that are too dangerous for human pilots, such as delivering supplies to remote or hostile locations.


The MQ-25 Stingray is a new model of drone that is currently being developed by the Navy. This unmanned aerial refueler has been designed to extend the range of the Navy's fighter planes, allowing them to operate at greater distances and for longer periods of time. It is designed to autonomously refuel US Navy jets, thereby extending their operational range. The drone has a range of over 1,600 km or 1,000 miles and a maximum speed of 920 km/h in level flight. It can carry up to 15,000 pounds of fuel and is equipped with sensors and communication systems that allow it to operate in a wide range of conditions. The design also has stealth features, making it more difficult to detect on radar during operations.


By refueling in the air, fighter planes can stay in motion for an extended period, providing more time for reconnaissance, intelligence gathering or attack operations. Applications of AI-Enabled Autonomous Drones: Lockheed Martin's website also provides information on the various ways in which AI-enabled autonomous drones are being used by the Navy. By automating many of the processes involved in surveillance and intelligence gathering, autonomous drones can perform more efficiently and effectively than human operators.


Drone boats or unmanned surface vehicles (USVs) are an emerging technology that is becoming increasingly relevant to naval operations. These unmanned vessels are fully autonomous and are capable of carrying out a range of tasks, from maritime surveillance to mine countermeasures and reconnaissance. Naval drone boats have been under development for several years, and there have been a number of prototypes tested by various countries in different situations.


The Ghost Fleet Overlord is an unmanned surface vessel developed by Leidos for the United States Navy. The vessel is designed for a variety of missions, including naval mine countermeasures, anti-submarine warfare, and intelligence gathering. It is equipped with a range of sophisticated sensors, including radar, sonar, and electro-optical and infrared cameras. It is also capable of launching a number of unmanned aerial vehicles (UAVs) to extend its surveillance capabilities.


Another unmanned vessel developed by the United States Navy is the Sea Hunter. It was developed by DARPA and is designed to detect and track enemy submarines. The Sea Hunter is equipped with advanced sensors and communications equipment, and can operate autonomously for up to 70 days at a time. To support its sustained operations, the vessel has a hybrid propulsion system that allows it to switch between diesel and electric power as needed.


As an autonomous vessel, the Sea Hunter is capable of navigating through a range of maritime environments, including in hazardous conditions. The US Navy is primarily focused on developing unmanned boats for surveillance and reconnaissance missions. These types of missions not only help to extend the reach of naval operations but also decrease risks to human life.


However, unmanned surface vessels would also likely be used in a range of other missions in the future, across mine detection, command and control, and other military functions.


Other nations have also started developing unmanned surface vehicles. For example, Chinese unmanned boats have been the focus of much of the recent development in this area, with China setting up a dedicated research and development center for USVs in 2016.


Other countries such as Israel, the United Kingdom, and France have also started developing their own drone boats for maritime operations.


Additionally, AI-enabled autonomous drones can analyze data in near-real-time, providing commanders with crucial information in urgent situations. For example, one of the areas where AI-enabled autonomous drones are being used by the Navy is in the field of search and rescue operations. By deploying unmanned UAVs with advanced sensors, the Navy can locate and rescue survivors more quickly than through traditional search methods.


AI can be used to process the collected data and identify areas that need to be searched, while sensors such as infrared cameras can help locate survivors even in dense vegetation or low-visibility conditions. Furthermore, autonomous drones can also be used for mine countermeasures, detecting and disabling underwater mines.


By using AI-powered algorithms to analyze the sonar data collected by these autonomous drones, the Navy can identify potential minefields and determine the location of prospective mines. Conclusion: In conclusion, Lockheed Martin's website provides a valuable resource for anyone interested in the field of AI-enabled autonomous drones and their military applications.


By analyzing the information provided on the website, we can gain valuable insights into the latest developments in autonomous systems as they are deployed by the Navy. These insights can help us better understand how autonomous systems are being used in today's military operations, and identify avenues for future research and development.


In conclusion, unmanned surface vehicles are becoming an increasingly vital part of naval operations, providing a wide range of benefits including long-range and extended-duration missions, enhanced situational awareness, reduced risks to human life, and extended command and control capabilities. As such, we can expect to see the continued growth and evolution of this technology, with new applications likely to be developed in the coming years.


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