Browse Topic: Military vehicles and equipment

Items (2,808)
Tracked off-road vehicles operate at low speeds with high tractive effort and frequent skid-steer maneuvers, conditions that push torque and power demand to extremes and exacerbate powertrain efficiency losses. Electrification can improve energy conversion and mobility for such duty cycles. This paper introduces a novel power-split hybrid electric architecture for a tracked vehicle and benchmarks it against three designs: a conventional mechanical driveline, a series hybrid, and a P2 parallel hybrid. To enable fair, architecture-agnostic comparisons, a supervisory controller based on Stochastic Dynamic Programming (SDP) schedules engine operation and power flow across all layouts under representative off-road scenarios, including skid-steer events, with varying terrain and power-demand profiles. Results show higher energy conversion efficiency (lower fuel use) for the proposed power-split architecture, followed by the parallel, then series, and lastly conventional configuration across
Ghate, AtharvaSundar, AnirudhZhu, QilunPrucka, RobertFigueroa-Santos, MiriamBarron, MorganCastanier, Matthew P.
Digital Twin technology can significantly improve the engineering product design process, especially when considering ground vehicle applications. Data-driven computer studies can assist engineers and key stakeholders in evaluating performance, durability, and other system design tradeoffs. To enable this process, the availability of relevant, numerically generated, laboratory, and/or field data is required. Proper data use enables the digital exploration of “what-if” scenarios, reducing necessary field testing and allowing for the examination of hard-to-test operating conditions. When considering the Digital Twin toolset, a collection of models and simulations are assembled to supplement virtual testing endeavors. These models include surrogate, CAD/CAE, and others. In this paper, an off-road track vehicle design is reviewed through the fusion of numerical and field data to evaluate future design enhancements. Preliminary results demonstrate that subtle feature upgrades can produce
Suber II, DarrylBradley, AndrewSingh, ShubhendraTurner, CameronCastanier, Matthew P.Wagner, John
Robust perception systems for autonomous vehicles rely heavily on high-quality, labeled data, particularly in off-road and unstructured environments. However, the performance of the perception model is often degraded by data chaos resulting from limitations in automated segmentation. Foundation models, such as SAM2, while powerful, typically generate masks based on low-level visual cues, including color and texture gradients. In complex off-road scenes, this leads to semantic fragmentation. A single object, like a moss-covered log, can be split into not only dozens of segments for its bark and moss but also hundreds of smaller, meaningless patches based on minor color variations. This paper introduces a context-aware annotation agent to resolve this issue. Our workflow integrates a vision-language model (Florence-2) for scene understanding with a segmentation model (SAM2) for mask generation. Instead of segmenting indiscriminately, our agent leverages Florence-2 to comprehend the image
Patil, AshishMikulski, DariuszMwakalonge, JudithJia, Yunyi
Traditionally, ground vehicle design is based on identifying engineering solutions that fulfil the requirements and specifications put forth by the stakeholders. Although a vehicle is a single entity, it is composed of many subsystems and thousands of parts that must operate together in unison to meet all design goals. A System of Systems (SoS) design approach enables the consideration of subsystem performance within a framework of overall system operation, which includes possible tradeoffs. This collaborative approach to subsystem and primary system design draws upon modelling, optimization, tradespace analysis and virtual studies. In this paper, a system of system design approach will be investigated for a collection of multi-domain vehicles assembled to undertake coordinated search and rescue operations on land and water. A host ground vehicle, an unmanned aerial drone, an unmanned marine drone and an unmanned tracked vehicle constitute the family of multi-domain vehicles which will
Somanchi, AnangAbeynayake, ChandimaDeshmukh, MrunalSuresh, JohirRamnath, SatchitTurner, CameronSchmid, MatthiasCastanier, Matthew P.Rapp, StephenJaczkowski, Jeffrey J.Wagner, John
Formation control simplifies minimizing multi-robot cost functions by encoding a cost function as a shape the robots maintain. However, by reducing complex cost functions to formations, discrepancies arise between maintaining the shape and minimizing the original cost function. For example, a Diamond or Box formation shape is often used for protecting all members of the formation. When more information about the surrounding environment becomes available, a static shape often no longer minimizes the original protection cost. We propose a formation planner to reduce mismatch between a formation and the cost function while still leveraging efficient formation controllers. Our formation planner is a two-step optimization problem that identifies desired relative robot positions. We first solve a constrained problem to estimate non-linear and non-differentiable costs with a weighted sum of surrogate cost functions. We theoretically analyze this problem and identify situations where weights
Cornwall, ChazBos, Jeremy
The modern battlefield is increasingly characterized by the use of small drones. As such, military vehicles must now be designed to account for this threat. This paper presents a model-based systems engineering approach to identify vehicle vulnerabilities and generate new vehicle requirements to mitigate them. This approach uses a standard set of System Modeling Language diagrams. A vehicle’s primary roles are captured in a series of use cases. Each use case is characterized by a sequence of activities performed by the vehicle. These activity sequences are captured in an activity diagram, which are used to wargame how a drone can exploit the vehicle at each phase. Each potential exploitation is assigned likelihood and severity scores, which feed into a risk index. This risk index is then used to prioritize each vulnerability. From these vulnerabilities, a set of operational requirements are derived, which then informs the development of system requirements. As the system matures, the
Ells, AlecWerntz, BrysonSaulsberry, TaylorWilkinson, CooperMittal, Vikram
Wet-gap crossings, which involve moving military forces across rivers and other water obstacles, remain among the most difficult operations to plan and execute. These maneuvers are complicated by choke points, fast-flowing water, and the exposure of forces and equipment to enemy fire. Despite these challenges, wet-gap crossings are critical to maintaining operational momentum during large-scale combat operations. This study examines doctrinal approaches to wet-gap crossings and explores the relationship between these operations and observed vehicle losses in the Russia-Ukraine War. Using a mixed-method approach, the analysis integrates daily operational reports from the Institute for the Study of War with visually confirmed equipment loss data from Oryxspioenkop. A custom Wet-Gap Relevance Score (WGRS) was developed using Natural Language Processing techniques to quantify the degree to which each ISW report focused on crossing operations. Statistical analysis shows that pontoon losses
Lynch, BenjaminDosan, LoganMittal, Vikram
Military tactical vehicles are increasingly incorporating anti-idle kits as a method to reduce fuel consumption. The larger battery pack associated with the anti-idle kit has the potential to provide new capabilities to the warfighter, who can use the battery pack to power pieces of equipment. This study analyzes a set of these new capabilities derived from the U.S. Army Universal Task List, supplemented with user interviews and doctrinal analysis. These capabilities include powering dismounted soldier systems, counter-drone and surveillance equipment, mobile refrigeration for medical applications, field maintenance tools, and mobile food services. The study then uses geolocation data collected from the U.S. Army’s National Training Center to model daily fuel consumption for soldiers performing each of these activities. The model was subsequently adapted to incorporate an anti-idle kit, revealing significant reductions in fuel usage. The analysis uses the results to define common
Lusian, TrevonteMummert, TaigeKaiser, CalebGreer, MichaelBlack, NathanielOng, BennettTapahonso, EugeneMittal, Vikram
The U.S. Army has selected two companies to develop prototype chassis and plug-in-cards for aviation and ground vehicles. The selection is the Army's latest milestone accomplishment in an effort to feature Modular Open System Approach (MOSA) -aligned embedded computing systems across all of the new investments it makes in technology upgrades for new and legacy vehicles. In a program update posted in September 2025, the Army selected General Dynamics Mission Systems and Pacific Defense as the lead developers for new C5ISR/EW Modular Open Suite of Standards (CMOSS) Mounted Form Factor prototypes. CMOSS is a set of standards developed by the U.S. Army to guide the design of embedded computing networks featured on Army vehicles.
During the 2025 Association of the United States Army (AUSA) annual meeting and exhibition, Forterra announced several major defense industry vehicle partnerships and introduced four new integrated modules designed to enable autonomy for military vehicles, communications, and more. Headquartered in Clarksburg, Maryland, Forterra develops autonomous mission systems for specific defense applications, including robotics and self-driving vehicles. The company has a new partnership with BAE Systems that will rapidly prototype an autonomous Armored Multi-Purpose Vehicle (AMPV). Separately, Forterra has also collaborated with Oshkosh Defense and Raytheon to develop the “DeepFires” autonomous vehicle launcher technology.
The U.S. Army Space and Missile Defense Command Technical Center's Aerophysics Research Facility, (ARF), fired a successful hypersonic shot to test its new rainfield simulator. U.S. Army Space and Missile Defense Command Technical Center, Huntsville, AL Zack Perrin, ARF manager and technical lead engineer of the U.S. Army Space and Missile Defense Command (USASMDC's) Targets and Test Resources Branch of the Ronald Reagan Ballistic Missile Defense Test Site, said ARF is SMDC's premier hypersonic flight and hypervelocity impact laboratory. Perrin said their largest gun system, the 254 mm light gas guns, or LGGs, is the fastest gun in the Army and can launch projectiles 6 inches in diameter to speeds up to 3 kilometers per second or smaller projectiles on the order of 2.7 inches in diameter to velocities exceeding 6 km/s. “I like to tell people that the facility is a gun range the size of an aircraft carrier and within the facility are multiple engineering tools, called light gas guns
RF and fiber have long co-existed within modern military and aerospace systems, with each medium dedicated to separate, mission-critical roles. Increasingly, however, system designers are turning to RF-over-fiber (RFoF) architectures to bridge the gap between over-the-air RF interfaces and the long, interference-resistant transport advantages of fiber. When it comes to over-the-air communications uses like tactical radio or satellite communications terminals, radio frequency (RF) is still the dominant signal format. RF is also commonly used at the front end of radar and electronic warfare, supporting search, tracking, fire control radar, missile seekers, jammers and electronic support measures.
Pyrovalves (also known as pyrotechnic valves) have long been a staple in defense systems, particularly in missile and munition launcher applications. The rapid growth of counter-UAS and missile defense systems makes this an ideal time to explore smarter alternatives to pyrovalves. One of the largest ongoing U.S. military efforts is the Missile Defense Agency's (MDA) Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) Multiple Award Indefinite Delivery/Indefinite Quantity (IDIQ) contract. In December, MDA issued two tranches of SHIELD awards to more than 2,100 companies, including major defense contractors and startups such as Lockheed Martin, Raytheon, Boeing, Shield AI, Anduril, and Virtualitics.
As atmospheric CO₂ concentrations continue to rise at unprecedented rates, the urgent need for breakthrough technologies that can efficiently capture carbon directly from the air and convert it into sustainable synthetic fuels has never been clearer. While numerous capture and conversion methods have been propose, many remain at an early stage of development, facing significant challenges such as low energy efficiency, limited scalability, and high operational costs. This lack of technological maturity underscores a vast, largely untapped potential for innovation and transformative advancement. In response to this gap, the present study compiles and critically examines a wide spectrum of emerging capture and conversion technologies. Through a detailed exploration of their functionalities, potentials, advantages, and challenges, the paper accumulates a comprehensive and well-informed dataset. This holistic understanding not only reveals key bottlenecks but also identifies promising
Jain, GauravPremlal, PPathak, RahulGore, Pandurang
Current world conflicts have proven that drones are now indispensable tools in modern warfare. Whether for reconnaissance, loitering munitions, or asymmetric tactics that exploit vulnerabilities in conventional defenses, unmanned aerial systems (UAS) are redefining the rules of engagement.
Vehicle dynamics encompasses a vehicle’s motion along three principal axes: longitudinal, lateral, and vertical. The vertical component is particularly susceptible to vibrational forces that can impair passenger comfort and overall performance, and the suspension system filters these vibrations. Engineers and designers conduct various studies to enhance quality and develop innovative designs in this context. However, when it comes to military vehicles, this system is often treated as classified. Consequently, the proposed work aims to determine the parameters of this system for a wheeled military vehicle with four axles. To achieve this, a mathematical model is proposed utilizing the concepts of power flow and kinematic transformers through a modular system, intended to serve as the foundation for solving an inverse problem to identify these parameters. This approach employs two stochastic methods, particle swarm optimization (PSO) and differential evolution (DE), and field tests to
de Oliveira, André NoronhaBueno Caldeira, Aldélioda Costa Neto, Ricardo Teixeira
Technological innovations in military vehicles are essential for enhancing efficiency, safety, and operational capability in complex scenarios. Advances such as navigation system automation and the introduction of autonomous vehicles have transformed military mobility. State estimators enable the precise monitoring of critical variables that are not directly accessible by sensors, providing real-time information to controllers and improving dynamic response under variable conditions. Their integration is crucial for the development of advanced control systems. This study aims to develop and compare parameter and states estimators for military heavy vehicles using three methodologies: particle filter, extended Kalman filter, and moving horizon state estimation. Computational simulations employ Pacejka’s magic formula to model tire behavior, and the vehicle modeling is based on a simplified quarter-car model, with an emphasis on longitudinal dynamics. In the end, the estimators are
Barros, Leandro SilvaSousa, Daniel Henrique BrazRodrigues, Gustavo SimãoLopes, Elias Dias Rossi
The present study aims to utilize a tire mathematical model that incorporates multiple contact points between the tire and the ground to provide a more accurate and realistic representation of the vertical and longitudinal dynamics of the Guarani 6x6 Armored Personnel Carrier (APC), a medium-wheeled vehicle used by the Brazilian Army. First, the subsystems involved in the longitudinal dynamics of the Guarani APC are introduced and modeled using TMeasy, a physical-mathematical model for tire slip behavior. Subsequently, the subsystems associated with the vehicle’s vertical dynamics are presented and modeled based on Ageikin’s concepts of obstacle negotiation. Finally, the longitudinal and vertical models are integrated to develop a multi-contact-point model with enhanced completeness, considering their mutual influence on each other. The modeling process is conducted within the Simulink® environment of MATLAB®. In each stage, simulations validate the proposed model’s suitability in
Godinho, Gabriel AsvolinsqueCosta Neto, Ricardo Teixeira
Tracked Military Vehicles are well known in armed forces, due to their use and importance in conventional combat, playing a crucial role since World War I until current combats. Also, as it happens in different generations, the environment involved in these wars changes and those vehicles are being used not only in open field situations, but inside residential neighborhoods also. However, despite their relevance, analyses and studies aimed at understanding these vehicles are scarce at the undergraduate level, which creates a gap among the recent graduate engineers that want to learn and understand how tracked vehicles perform in different scenarios. This is important because understanding initial concepts helps to bring more ideas and start more detailed studies in the area. Therefore, to bridge this gap, a detailed dynamic analysis of a tracked military vehicle is conducted using MATLAB with a dynamic model to evaluate performance, level transitions, and acceleration. Additionally
Dalcin, Pedro Henrique KleimRibeiro, Levy PereiraLopes, Elias Dias RossiRodrigues, Gustavo Simão
Since the emergence of the first tanks in World War I, tracked military vehicles have driven the development of increasingly sophisticated control systems, keeping pace with the evolution of technologies and combat tactics. This study aims to develop a longitudinal speed control system for tracked military vehicles using a cascade framework. To this end, a dynamic model based on the bicycle model—commonly employed for wheeled vehicles—has been appropriately adapted to represent the dynamics of tracked vehicles. In the first stage, a Model-based Predictive Controller defines the required traction force to be produced by the track; subsequently, a PID controller determines the necessary torque on the drive pulley to achieve the desired force. Simulations performed in MATLAB, considering a straight trajectory and speeds of up to 20 km/h, demonstrate the effectiveness of the proposed control system, yielding satisfactory results in the regulation of longitudinal speed.
Forte, Marcelo AlejandroPenha, Luiz Roberto Martins SilvaBraga, Matheus Rodrigues PereiraRodrigues, Gustavo SimãoLopes, Elias Dias Rossi
Powertrain architecture is being reshaped by the electrification of heavy-duty military vehicles using hydrogen fuel cell technology, particularly in transmission systems. Unlike conventional internal combustion engines, hydrogen fuel cell electric vehicles (FCEVs) typically use single-speed or direct-drive configurations due to the high torque of electric motors. This paper examines the impact of hydrogen electrification on military vehicle transmissions, focusing on armored multi-role models such as the VBMT-LSR, Guarani, and Leopard 1A5 of the Brazilian Army. The study compares traditional gearboxes with alternative solutions optimized for fuel cells, analyzing the trade-offs in efficiency, durability, and operational adaptability. Additionally, it explores adaptations required for hydrogen internal combustion engines (H2-ICEs), considering their distinct characteristics and demands. The study employs a three-step validation methodology combining computational simulations, technical
Biêng, Ethan Lê QuangPontes, Guilherme AyrosoConrado, Guilherme Barreto RollembergLopes, Elias Dias RossiRodrigues, Gustavo Simão
Augustine's Law predicts “In the year 2054, the entire defense budget of the United States will purchase just one aircraft. This aircraft will have to be shared by the Air Force and Navy three days each per week except for leap year, when it will be made available to the Marines for the extra day.” While the world is not on course for the $800 billion aircraft as Augustine predicted, the aerospace & defense industry must take steps to bring new technology to the battlefield without the $800 billion price tag. The development of robotic aircraft or drones is one way to deliver new capability faster for less cost.
Modern warfare is defined as much by data dominance as by maneuver. From satellite-based intelligence, surveillance, and reconnaissance (ISR) platforms to dismounted soldiers' handheld radios, operational success depends on the ability to move, process, and act on digital information in real time. Yet this dependence introduces a critical vulnerability: as the force becomes more data-centric, it becomes more susceptible to disconnection, jamming, and cyber denial. In disconnected, intermittent, and limited (DIL) environments - where communications are degraded by terrain, adversarial interference, or limited infrastructure - traditional network architectures falter. Centralized command nodes and linear data pipelines cannot sustain the agility or resilience required at the tactical edge. The solution is a new design paradigm - one that integrates ruggedized hardware, edge computing, artificial intelligence (AI), and hybrid tactical-cloud architectures into a distributed, adaptive
Leonardo DRS Arlington, VA mmount@drs.com
Moog Inc. East Aurora, NY kgibas@moog.com
This SAE Standard applies to all combinations of pneumatic tires, wheels, or runflat devices (only as defined in SAE J2013) for military tactical wheeled vehicles only as defined in SAE J2013. This applies to original equipment and new replacement tires, retread tires, wheels, or runflat devices. This document describes tests and test methodology, which will be used to evaluate and measure tire/wheel/runflat system and changes in vehicle performance. All of the tests included in this document are not required for each tire/wheel/runflat assembly. The Government Tire Engineering Office and Program Office for the vehicle system have the responsibility for the selection of a specific test(s) to be used. The selected test(s) should be limited to that required to evaluate the tire/wheel/runflat system and changes in vehicle performance. Selected requirements of this specification shall be used as the basis for procurement of a tire, wheel, and/or runflat device for military tactical wheeled
Truck and Bus Tire Committee
TOC
Tobolski, Sue
Hybrid powertrain technology serves to improve performance, enable new functional capabilities, decrease fuel consumption, increase operational reach, and increase lethality by supporting advanced weapons systems. Several demonstrators have been developed for the Army, including those recently commissioned and tested by numerous programs over the last decade. This work examines the results of one of these demonstrators for a Light Tactical Vehicle (LTV) and analyzes tradeoffs in the components’ characteristics, including the battery size, energy, and power capabilities, specifically regarding the system’s ability to meet key performance and power generation requirements. This work was completed through test data analysis coupled with a vehicle 1D simulation. Results show design implementation impacts and tradeoffs between vehicle weight, performance, EV-only range, and fuel consumption that can be utilized for system-level optimization.
Worm, Zander ThomasGoodenough, BryantSchmidt, HenryPutrus, JohnathonNaber, Jeffrey
U.S. Army soldiers recently evaluated the off-road delivery capabilities of Overland AI's “ULTRA” autonomous vehicle during a demonstration exercise in Vaziani, Georgia. U.S. Army, Vaziani, Georgia In an effort to cut costs and improve supply delivery efficiency, the U.S. Army assessed the Overland AI ULTRA Fully Autonomous Tactical Vehicle prototype during exercise Agile Spirit 25 at the Combat Training Center, Vaziani Training Area, Georgia, in July. “Agile Spirit 25 is the 12th iteration of a biennial multinational exercise designed to enhance readiness, interoperability and combined operational capabilities, which promotes our countries' shared goal of security and stability in the Black Sea Region,” said Col. Will Cox, Co-exercise Director for Agile Spirit 25.
Hensoldt Taufkirchen, Germany nico.fritz@hensoldt.net
In an effort to cut costs and improve supply delivery efficiency, the U.S. Army assessed the Overland AI ULTRA Fully Autonomous Tactical Vehicle prototype during exercise Agile Spirit 25 at the Combat Training Center, Vaziani Training Area, Georgia, in July.
When a Marine in the field launches an uncrewed aerial vehicle (UAV) to gather intelligence, it becomes more than just a drone. It's a flying data center that processes AI workloads, runs machine learning algorithms, and transmits critical information through a complex network designed to provide situational awareness across multiple commands. All of this computational power generates significant heat, and in the confined space of a UAV operating in harsh environmental conditions, thermal management becomes critical to mission success. But there's a fundamental question the U.S. defense isn't asking: how will we manage the heat? The Golden Dome, the Trump administration's vision for missile defense, builds upon the existing Joint All-Domain Command and Control (JADC2) framework for connecting sensors from all branches of the U.S. armed forces into a unified network powered by artificial intelligence. This plan faces an existential threat from thermal management challenges that have
Forest fire prevention and control agencies in São Carlos, in the interior of the state of São Paulo, Brazil, will soon have help from the sky to detect fires more quickly and combat them before they grow out of control and cannot be extinguished.
Several information security problems currently require the vigilance of the defender to prevent exploitation or misclassification of information, specifically code injection vulnerabilities and enforcement of Security Classification Guides. This paper discusses a potential solution that can enforce some of these rules by computer mechanism, reducing the potential for security problems. The solution is to replace using simple text strings with data structures containing both a string and a key-value data store. This metadata allows the computer to apply automated rules to enforce data sanitization and classification.
Czerniak, Gregory P.
Armored vehicles offer limited view to the driver and crew. Two-dimensional vision-based situational awareness (SA) systems provide the driver a view of the area around the vehicle. The addition of distance to objects can offer a more comprehensive understanding of the surroundings assisting the driver with the locations of obstacles and rollover hazards. Methods currently available or under development for depth perception have issues limiting their utility in the field.. Some interfere with crew operations, others are are too costly, are not covert or require excessive processing. We offer a low-cost and computationally efficient approach called Kinetically Enhanced Situational Awareness (KESA) that derives distance to objects using existing SA sensors and processors combined with a knowledge of vehicle kinematics. We demonstrate how range can be used to enhance and supplement AI based driver assistance and threat warnings.
Pilgrim, Robert A.Brown, Roy C.
This research evaluated the practicality of implementing Post-Quantum Cryptography (PQC) algorithms onboard resource-constrained computing devices, especially those found in automotive platforms. While computational efficiency within PQC is high, memory size and bandwidth constraints become relevant upon consideration of end-to-end implementation. The Controller Area Network (CAN) protocol utilizes only eight (8) bytes of data payload per message, requiring the large keys of PQC algorithms to be split into several messages. Power efficient 32-bit ARM microcontrollers were used for testing. Comparison was made between software implementations of both PQC and modern algorithms to evaluate relative computational cost. Ultimately, this research determined that the communication overhead required by PQC algorithms such as CRYSTALS-Kyber, CRYSTALS-Dilithium, and Falcon is not so egregious as to preclude them from implementation on board vehicular networks.
Smith, SethOwens, KyleKozan, Katherine
Data security remains an issue of the utmost concern in contested environments. Mechanisms such as data encryption, beam-forming antennas, and frequency-hopping radio have emerged to mitigate some of the concerns in radio-frequency (RF) communications, but they do not remove all risk. Consequently, there is still a consistent appetite for alternative solutions. This paper presents a case for the use of the free-space optical (FSO) communications technology ImpLi-Fi as one such alternative. FSO communication is promising because of the ease with which the signal beam may be steered and limited, making detection and interception more difficult than with RF, and ImpLi-Fi in particular is desirable for its exceptional outdoor performance and ease of integration into existing light sources. The paper briefly illustrates the origins of the contested logistics (CL) problem and CL use cases for secure communication channels, before describing the ImpLi-Fi technology in some detail; exploring
Brzozowski, AaronReimann, JethroLakshmanan, SridharMarrero, Pedro “Pete”Moyer, Benjamin D.
The automotive industry’s systems and over-the-air (OTA) updates have vulnerabilities in its software supply chain (SSC). Although frameworks like Uptane have improved OTA security, gaps remain in ensuring software integrity and provenance. In this paper, we examine challenges securing the automotive SSC and introduce a framework, GUIXCHAIN, that integrates version control, reproducible builds, blockchain technology, and software bills of materials (SBoMs) for transparency, auditability, and resilience. Reproducible builds guarantee identical resulting binaries when compiling the same source code in different environments, as any deviation in the final output indicates a potential compromise in the build process, such as malware injection. Our preliminary study shows Guixchain’s use of reproducible builds ensures consistent and integrity-secured software across various build environments. The blockchain provides forensic capabilities, offering a history of the what, who and where of
Aideyan, IwinosaPesé, Mert D.Brooks, Richard
As unmanned vehicular networks become more prevalent in civilian and defense applications, the need for robust security solutions grows in parallel. While ROS 2 offers a flexible platform for robotic operations, its security model lacks the adaptability required for dynamic trust management and proactive threat mitigation. To address these shortcomings, we propose a novel framework that integrates containerized ROS 2 nodes with Kubernetes-based orchestration, a dynamic trust management subsystem, and integrability with simulators for real-time and protocol-flexible network simulation. By embedding trust management directly within each ROS 2 container and leveraging Kubernetes, we overcome ROS 2’s security limitations by enabling real-time monitoring and machine learning-driven anomaly detection (via an autoencoder trained on custom data), facilitating the isolation or removal of suspicious nodes. Additionally, Kubernetes policies allow seamless scaling and enforcement of trust-based
Tinker, NoahBoone, JuliaWang, Kuang-Ching
In shoot-and-scoot tactics, a common rule is that artillery units should not reuse firing positions; a more cautious rule is that they should not even pass near an old firing position when relocating. We use the cautious rule to define a variant of the traveling salesman problem, where an artillery unit shall use as many firing positions as possible with minimal travel time and never reuse or pass near an old firing position. We develop greedy and randomized heuristic algorithms and test them on some examples, and an auxiliary algorithm that finds a lower bound of the travel time. We also use “independent sets” of graph theory to reduce a problem instance to one or several smaller instances. We find that one can get good solutions reasonably fast by running a randomized algorithm repeatedly and that problem reduction via independent sets can improve performance.
Damgaard, Thomas JonssonRittri, Mikael
Manufacturers of fans/propellers using hydraulically-actuated pitch control claim energy efficiency gains up to 75% over fixed-pitch solutions. Unfortunately, the added cost, weight, reliability and maintenance considerations of hydraulic solutions has limited the introduction of pitch control for small-to-medium fans and propellers leaving a large market unserved by the efficiency gains associated with changing the pitch of a blade when the blade shaft’s speed changes. Pilot Systems International and Cool Mechatronics are developing an electromagnetically controlled pitch (EMCP) fan/propeller that will produce a new pareto optimal in size, weight, power, cost and cooling (SWaP-C2). The technology will substantially improve the efficiency of military ground vehicle cooling fans which is typically the third greatest power draw (~20kW)1 in the entire vehicle and provide critical performance improvements during silent watch. It will be a key enabler for the electrification of aircraft.
McBain, Jordan
The Technical Cooperation Program (TTCP) is a five-nation defense innovation network that harnesses science and technology in support of the defense and national security of the participant nations. The 2019 TTCP Scrum Event’s objective, sponsored by the Aerospace Systems group, was to enhance the military capability of current and future systems through collaborative research and innovation. The primary goal of this effort was to contribute to a shared understanding of the benefits of a MS&A-powered wargame-like event while examining future concepts. The 2019 Scrum Event was a collaborative event demonstrating a new approach of MS&A capabilities to FVEY partners fostering future TTCP scrum processes and relationships. This paper will discuss the resultant simulation environment, analysis methodology comparing constructive and virtual simulation, provide an overview of the scrum’s origins, purpose, and composition, and provide high-level results, outcomes, and lessons learned.
Bane, KindraGalloway, StevenThomson, DanielHulbert, BrandonHanlon, Nicholas
To achieve Army modernization plans, advanced approaches for testing and evaluation of autonomous ground systems and their integration with human operators should be utilized. This paper presents a framework for developing digital twins at the subsystem level using heterogeneous modeling and simulation (M&S) to address the challenges of manned-unmanned teaming (MUM-T) in operational environments. Focusing on the interplay between robotic combat vehicles (RCVs) and human operations, the framework enables evaluation of soldiers’ cognitive loads while managing tasks such as maneuvering robotic systems, interacting with aided target detection, and engaging simulated adversaries. By employing subsystem-level digital twins, we aim to isolate and control key variables, enabling a detailed assessment of both systems’ performance and operator effectiveness. Through realistic operational scenarios and human-machine interface testing, our approach may help identify optimal solutions for soldier
Van Emden, KristinStrickland, JaredWhitt, JohnFlint, BenjaminMa, LeinMcDonnell, JosephBergin, DennisHuynh, KevinNolta, LukasSong, JaeWeber, KodyGates, BurhmanBounker, PaulMadak, Joseph T.
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