Autonomous Vehicles for Defense

Industry Application

Autonomous VehiclesGovernment & Defense

Autonomous vehicles have become a cornerstone of modern defense strategy, enabling militaries and government agencies to project force, gather intelligence, and sustain logistics chains while reducing human exposure to lethal threats. By 2026, autonomy has expanded well beyond experimental programs—unmanned ground vehicles (UGVs), autonomous aerial systems, and self-navigating maritime platforms are fielded at scale across NATO allies, the U.S. military, and peer competitors alike.

Unmanned Ground Vehicles on the Battlefield

The U.S. Army's Robotic Combat Vehicle (RCV) program has accelerated following lessons from the Russia-Ukraine conflict, where both sides fielded improvised and purpose-built autonomous ground systems. The Army's RCV-Light and RCV-Medium variants—developed in collaboration with FLIR Systems (now Teledyne FLIR) and Textron Systems—are designed to operate as forward scouts and direct-fire platforms in contested environments, keeping soldiers out of direct line of fire. These vehicles use sensor fusion combining LiDAR, thermal imaging, and radar to navigate denied GPS environments, a critical requirement after GPS jamming became ubiquitous in modern conflict zones.

Autonomous Logistics and Resupply

One of the most operationally mature applications of autonomous vehicles in defense is logistics. The U.S. Army's Palletized Load System Autonomous (PLS-A) program and Oshkosh Defense's TeraStar platform enable convoy operations with minimal human operators using a leader-follower architecture. A single human-driven lead vehicle directs a column of autonomous trucks, dramatically reducing the personnel required for dangerous forward resupply missions. These systems have proven especially valuable for moving ammunition, fuel, and medical supplies in environments where convoy attacks represent a primary threat.

Intelligence, Surveillance, and Reconnaissance (ISR)

Autonomous vehicles have transformed ISR operations at the tactical edge. The Army and Marine Corps field small UGVs such as the QinetiQ MAARS and Boston Dynamics Spot for building clearance and EOD support, while larger systems like the SMET (Squad Multipurpose Equipment Transport) provide dismounted units with autonomous cargo-carrying and ISR capability. These platforms can loiter in contested areas, relay communications, and conduct persistent surveillance without risking human operators.

Electronic Warfare and Contested Environments

A defining challenge for defense AV programs in 2026 is operating under GPS-denied and communications-degraded conditions imposed by sophisticated adversaries. The Defense Advanced Research Projects Agency (DARPA) has funded programs such as the Assured Autonomy initiative to develop AI systems capable of navigating and executing missions when communications are severed and GPS is unavailable. This requires onboard decision-making that is fundamentally different from commercial AV approaches, where vehicles can rely on HD maps, constant connectivity, and predictable road environments.

Autonomous Maritime and Undersea Systems

The U.S. Navy's Ghost Fleet Overlord program has demonstrated that large unmanned surface vessels can conduct multi-week autonomous missions including navigation, obstacle avoidance, and coordination with manned vessels. Anduril Industries' Ghost Shark and Dive-LD autonomous underwater vehicles (AUVs) are being integrated into submarine warfare and mine countermeasure operations, extending the Navy's undersea sensing network at a fraction of the cost of crewed platforms.

Applications & Use Cases

Robotic Combat Vehicles

Unmanned ground vehicles acting as forward scouts, direct-fire platforms, and force multipliers—operating ahead of manned formations to identify threats and suppress enemy positions without risking soldiers. The U.S. Army's RCV program targets 2027 initial fielding.

Autonomous Convoy Operations

Leader-follower truck convoys using Oshkosh's TeraStar and Palletized Load System Autonomous platforms to move supplies in high-threat environments with a single human supervisor overseeing multiple autonomous vehicles, reducing convoy personnel by up to 60%.

EOD and Hazardous Area Clearance

Teleoperated and semi-autonomous robots such as the iRobot 310 SUGV and Endeavor Robotics' Centaur are used for explosive ordnance disposal, nuclear facility inspection, and clearance of structures in CBRN (chemical, biological, radiological, nuclear) environments.

Persistent ISR and Border Surveillance

Autonomous ground and aerial vehicles conduct long-duration surveillance missions along borders and in forward operating areas. U.S. Customs and Border Protection deploys semi-autonomous sensor towers and unmanned ground systems to monitor remote terrain continuously.

Undersea and Surface Maritime Operations

The Navy's Ghost Fleet Overlord unmanned surface vessels and Anduril's Ghost Shark AUVs conduct autonomous patrols, mine countermeasures, and distributed sensing missions, extending maritime domain awareness at significantly lower cost than crewed ships.

Base Security and Perimeter Defense

Autonomous ground vehicles equipped with surveillance sensors and non-lethal deterrents are deployed for base perimeter patrol at installations including Fort Bliss and overseas forward operating bases, reducing the manpower required for static security duties by maintaining continuous autonomous patrol cycles.

Key Players

Oshkosh Defense — Developer of the TeraStar autonomous trucking platform and the JLTV, with active U.S. Army contracts for autonomous convoy systems under the Palletized Load System Autonomous program.
Anduril Industries — Produces the Ghost Shark autonomous underwater vehicle, Dive-LD AUV, and Lattice autonomous command-and-control software platform; holds major U.S. Navy and SOCOM contracts as of 2026.
Textron Systems — Builds the Ripsaw M5 Robotic Combat Vehicle and the Cottonmouth autonomous amphibious platform; key RCV-Medium competitor for the U.S. Army program of record.
Teledyne FLIR — Manufactures the SUGV, Centaur, and Kobra UGV platforms widely used by U.S. and allied militaries for EOD, ISR, and route clearance missions.
Boston Dynamics — Spot quadruped robot deployed by multiple U.S. military branches and NATO allies for reconnaissance, inspection, and logistics in environments inaccessible to wheeled or tracked platforms.
QinetiQ North America — Produces the MAARS (Modular Advanced Armed Robotic System) and Dragon Runner platforms used by U.S. Marines and Army for direct-fire support and urban ISR.
Shield AI — Develops the Hivemind autonomous AI pilot and V-BAT autonomous VTOL; provides AI-driven autonomy stacks for both aerial and ground defense platforms operating in GPS-denied environments.
DARPA / ARL — Government research organizations driving foundational autonomy programs including Assured Autonomy, Squad X, and the Robotic Autonomy in Complex Environments with Resiliency (RACER) program that set the technology roadmap for the entire sector.

Challenges & Considerations

GPS-Denied and Contested Operations — Commercial AV stacks assume GPS availability and HD map infrastructure. Defense systems must navigate using onboard SLAM, inertial navigation, and AI-based terrain recognition in environments where adversaries actively jam and spoof positioning signals.
Rules of Engagement and Lethal Autonomy — International law, Department of Defense Directive 3000.09, and significant political pressure require meaningful human control over lethal force decisions. Defining the boundary between autonomous navigation and autonomous targeting remains one of the sector's most contentious policy and technical challenges.
Cybersecurity and Anti-Tamper — Autonomous vehicles that can be captured, reverse-engineered, or remotely hijacked pose serious operational security risks. Defense AV programs must meet stringent anti-tamper and cyberhardening requirements that have no commercial analogue, adding significant development cost and complexity.
Logistics and Maintainability in the Field — Autonomous vehicles with complex sensor suites, AI compute hardware, and advanced powertrains require specialized maintenance expertise that is difficult to sustain in forward deployed environments. Simplicity and repairability with standard military tools are design requirements that often conflict with cutting-edge autonomy hardware.
Interoperability Across Coalition Forces — NATO allies and partner nations each field different autonomous systems with incompatible command-and-control interfaces, communications protocols, and IFF (Identification Friend or Foe) systems, creating significant integration barriers for coalition operations.
Adversarial AI and Counter-Autonomy — As autonomous vehicles proliferate, adversaries are developing counter-autonomy technologies including acoustic jammers that confuse LiDAR, adversarial visual patterns that fool perception models, and directed-energy systems designed specifically to disable unmanned platforms—forcing a continuous technology adaptation cycle.