Browse Topic: Unmanned ground vehicles

Items (435)
Lunar dust consists of extremely fine particles and exhibits electrostatic charging properties and electrostatic adhesion. These characteristics cause lunar dust to be highly susceptible to mobilization during lander touchdowns, rover traversals, and human activities, forming widely distributed dust clouds. Lunar dust contamination not only abrades spacecraft and equipment to impair their performance but also poses a threat to astronauts’ safety. To verify the impact of the lunar dust environment on exploration equipment components, a simulation mechanism adaptable to the thermal vacuum test environment was designed. This mechanism is integrated into the lunar environment simulation system and uses a vacuum stepper motor to drive a ratchet mechanism, enabling precise vibrational injection of simulated lunar dust. It mainly consists of a pretreatment mechanism, a particle sedimentation mechanism, a shielding mechanism, and an ultraviolet (UV) irradiation system. Considering the vacuum operating environment, alternating high and low temperature conditions, as well as the strict requirements for the mechanism’s compact size and high reliability, this paper analyzes in detail a series of problems encountered during the development of the mechanism and their corresponding solutions. Stainless steel and polytetrafluoroethylene (PTFE) were selected as the main materials for the mechanism. Meanwhile, active temperature control measures were adopted to actively regulate the temperature of components such as the motor. Ultimately, the mechanism can withstand alternating high and low temperatures ranging from -150°C to 150°C and a vacuum environment of 5 × 10^–6 Pa. Under this environment, the mechanism can achieve vibration frequency adjustment within the range of 1-5 Hz, and realize the sedimentation of simulated lunar dust particles with a particle size of less than 200 μm over an area of 150 mm × 150 mm. After sedimentation, the simulated lunar dust particles can be charged through the photoelectric effect.
Xu, MenglongLv, ShizengLi, GuohuaGong, Jie
Special vehicles such as off-road vehicles and planetary rovers frequently operate on complex, unpaved road surfaces with varying mechanical parameters. Inaccurate estimation of these parameters can cause subsidence or rollover. Existing methods either lack proactive perception or high precision. This article proposes a fusion framework integrating a visual classifier and a dynamics observer for stable, accurate estimation of road surface parameters. The visual classifier uses an adaptive segmentation system for unpaved roads, leveraging a large-scale vision model and a lightweight network to classify upcoming road surfaces. The dynamics observer employs an online wheel-–ground interaction model using stress approximation, integrating strong tracking theory into an unscented Kalman filter for real-time parameter estimation. The fusion framework performs integration of the classifier and observer outputs at data, feature, and decision levels. An adaptive fading factor and recursive Gaussian process modeling ensure precise estimation of varying parameters. Real-vehicle tests demonstrate that the proposed method reduces the average estimation error by 8.5% and improves convergence speed by 40% during road surface changes, demonstrating potential for integration into off-road vehicle stability control systems.
Zhang, ChenhaoXia, GuangZhang, YangZhou, DayangShi, Qin
Planetary and lunar rover exploration missions can encounter environments that do not allow for navigation by typical, stereo camera-based systems. Stereo cameras meet difficulties in areas with low ambient light (even when lit by floodlights), direct sunlight, or washed-out environments. Improved sensors are required for safe and successful rover mobility in harsh conditions. NASA Goddard Space Flight Center has developed a Space Qualified Rover LiDAR (SQRLi) system that will improve rover sensing capabilities in a small, lightweight package. The new SQRLi package is developed to survive the hazardous space environment and provide valuable image data during planetary and lunar rover exploration.
We introduce a LiDAR inertial odometry (LIO) framework, called LiPO, that enables direct comparisons of different iterative closest point (ICP) point cloud registration methods. The two common ICP methods we compare are point-to-point (P2P) and point-to-feature (P2F). In our experience, within the context of LIO, P2F-ICP results in less drift and improved mapping accuracy when robots move aggressively through challenging environments when compared to P2P-ICP. However, P2F-ICP methods require more hand-tuned hyper-parameters that make P2F-ICP less general across all environments and motions. In real-world field robotics applications where robots are used across different environments, more general P2P-ICP methods may be preferred despite increased drift. In this paper, we seek to better quantify the trade-off between P2P-ICP and P2F-ICP to help inform when each method should be used. To explore this trade-off, we use LiPO to directly compare ICP methods and test on relevant benchmark datasets as well as on our custom unpiloted ground vehicle (UGV). We find that overall, P2F-ICP has reduced drift and improved mapping accuracy, but, P2P-ICP is more consistent across all environments and motions with minimal drift increase.
Mick, DarwinPool, TaylorNagaraju, Madankumar SathenahallyKaess, MichaelChoset, HowieTravers, Matthew
To achieve accurate and stable path tracking for unmanned mining trucks in the face of changing paths and response delays in steering, this study raised a lateral control strategy for unmanned mining trucks based on MPC and considering steering delay response characteristics. Under the basis of deriving the state space equation from the commonly used two degrees of freedom truck dynamics model, this method introduces the dynamic relationship between steering angle issuance and actual response to form an augmented form of state vector to overcome the control instability caused by steering response delay. Then, based on the MPC method, a constrained objective function is constructed to solve for the optimal control law. In response to the problem of inaccurate selection of prediction and control time domains, this article proposes an adaptive selection method for prediction and control time horizon based on a modified particle swarm optimization (MPSO) algorithm, which obtains the optimal prediction and control time horizon that meet the preset training road conditions in this study, preventing the problem of control accuracy and control oscillation hard to balance caused by the horizon being too small or too large, thereby improving the control effect. Finally, the tracking performance of this algorithm was compared with pure tracking algorithms using a truck dynamics model bench simulation developed independently based on Simulink and a mining truck real-vehicle verification. The algorithm demonstrated good path tracking performance.
Mao, LiboWu, GuangqiangGui, Yuhui
This document defines a set of standard application layer interfaces called JAUS Unmanned Ground Vehicle Services. JAUS Services provide the means for software entities in an unmanned system or system of unmanned systems to communicate and coordinate their activities. The Unmanned Ground Vehicle Services represent the platform-specific capabilities commonly found in UGVs, and augment the Mobilty Service Set [AS6009] which is platform-agnostic. At present ten (10) services are defined in this document. These services are categorized as:
AS-4JAUS Joint Architecture for Unmanned Systems Committee
As a crucial tool for lunar exploration, lunar rovers are highly susceptible to instability due to the rugged lunar terrain, making control of driving stability essential during operation. This study focuses on a six-wheel lunar rover and develops a torque distribution strategy to improve the handling stability of the lunar rover. Based on a layered control structure, firstly, the approach establishes a two-degree-of-freedom single-track model with front and rear axle steering at the state reference layer to compute the desired yaw rate and mass center sideslip angle. Secondly, in the desired torque decision layer, a sliding mode control-based strategy is used to calculate the desired total driving torque. Thirdly, in the torque distribution layer, the optimal control distribution is adopted to carry out two initial distributions and redistribution of the drive torque planned by the upper layer, to improve the yaw stability of the six-wheeled lunar rover. Finally, a multi-body dynamics simulation platform for the six-wheel lunar rover is built using the open-source multi-physics simulation engine Chrono, exploring its dynamic behavior in soft ground conditions. Various operating scenarios are tested to verify the effectiveness, reliability, and safety of the designed coordinated control strategy. This research provides a reference for the design and control strategies of lunar rovers in future lunar exploration missions and offers guidance for the design and motion control of extraterrestrial planetary surface exploration vehicles.
Liu, PengchengZhang, KaidiShi, JunweiYang, WenmiaoZhang, YunqingWu, Jinglai
SAE TOMORROW TODAY: Simulating Off-Road Autonomy in Combat135083/28/2025
As warfare becomes more technologically advanced, the military requires a "one-to-many" system that allows one operator to control a fleet of air, ground, and surface-level assets. This type of technology can also support industries like construction that may be experiencing labor shortages. To bring these visions to reality, there is a critical need for a virtual environment to stress-test autonomous systems and ensure they are secure. Enter Neya Systems, a wholly owned subsidiary of Applied Research Associates that is committed to advancing the field of unmanned systems through a robust simulation platform and expertise in autonomy, computer vision, and cybersecurity. To learn more, we sat down with Kurt Bruck, Vice President, Neya Systems, to discuss supporting the military as warfare becomes more technologically advanced and how his company is fostering safe and secure autonomous operations for unmanned ground vehicles. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen--and give us a review on your preferred podcasting platform. Follow SAE on LinkedIn, Instagram, Facebook, Twitter, and YouTube. Follow host Grayson Brulte on LinkedIn, Twitter, and Instagram.
Hineman, Marcie
Golden packages on the Moon? Not exactly. This is no extraterrestrial gift depot, but a cutting-edge project in the LUNA hall. Here, the German Aerospace Center (Deutsches Zentrum für Luftund Raumfahrt; DLR) has been researching how payload boxes, sensors, rovers and astronauts can connect to form an integrated network. These participants, or nodes within the network, exchange signals that facilitate both communication and navigation.
Silicon Sensing Systems Ltd Plymouth, United Kingdom
Geometric methods based on Reeds–Shepp (RS) curves offer a practical approach for the parking path planning of unmanned mining truck, but discontinuous curvature can cause tire wear and road damage. To address this issue in mine scenario, a continuous curvature parking path planning method based on transition curve and model predictive control (MPC) is proposed for mine scenarios. Initially, according to the shovel position information issued by the cloud dispatching platform, a reference line is planned using RS curves. In order to mitigate the wear and tear of the tires and the damage to unstructured roads due to the in situ steering caused by the sudden change of the curvature, a transition curve consisting of clothoid–arc–clothoid that satisfies the kinematics of continuous vehicle steering is designed on the basis of RS curves to achieve the continuity of road curvature, which will contribute to the economy of tire and handling performance. The calculation of Fresnel integral involved by clothoid is simplified by using Chebyshev polynomial fitting method. Moreover, MPC is employed to re-plan an obstacle-avoidance path based on the reference line by designing a rational cost function. Finally, a simulation test platform is built considering the typical parking scenarios for unmanned mining trucks. The simulation results verify the effectiveness of the planning algorithm proposed in this article, and it shows the potential to reduce maintenance costs and improve mining efficiency.
Zhang, HaosenChen, QiushiWu, Guangqiang
Fangzheng Liu, Nathan Perry, Tobias Roeddiger, Sean Auffinger, Joseph Paradiso, Ariel Ekblaw MIT Media Lab Cambridge, MA
Lunar tubes, natural underground structures on the Moon formed by ancient volcanic activity, offer natural protection from extreme temperatures, radiation, and micro-meteorite impacts, making them prime candidates for future lunar bases. However, the exploration of lunar tubes requires a high degree of mobility. Given the Moon's gravity, which is approximately six times weaker than Earth's, efficient navigation across rugged terrains within these lava tubes is achievable through jumping. In this work, we present the design of subsystems for a miniature hexapod rover weighing 1 kg, which can walk, jump, and stow. The walking system consists of two subsystems: one for in-plane walking, employing four single-degree-of-freedom (DoF) legs utilizing the KLANN walking mechanism, and another for directional adjustments before jumping. The latter employs a novel three-DoF mechanism with the cable-pulley system to optimize space utilisation. The design of these legs prioritizes functionality, minimizing the number of actuators and mass. Furthermore, we introduce a jumping mechanism featuring a spring-based energy storage system and a sector-gear-based release mechanism. This mechanism is engineered to enable jumps with a maximum horizontal range of 1 meter on the Moon. It has been 3D printed and independently demonstrated. Our work encompasses a comprehensive system-level design study, with a focus on sub-system-level functions for various mechanisms. The innovative mechanisms designed and demonstrated in this work hold potential for broader aerospace applications, including payload separation systems, pushing mechanisms, and door opening and closing mechanisms, among others.
Shanbhag, Sushanth SureshSharma, ShachindraDamurothu, KrishnaSandeep, R
Jet Propulsion Laboratory Pasadena, CA
This SAE Aerospace Information Report (AIR) describes the Architecture Framework for Unmanned Systems (AFUS). AFUS comprises a Conceptual View, a Capabilities View, and an Interoperability View. The Conceptual View provides definitions and background for key terms and concepts used in the unmanned systems domain. The Capabilities View uses terms and concepts from the Conceptual View to describe capabilities of unmanned systems and of other entities in the unmanned systems domain. The Interoperability View provides guidance on how to design and develop systems in a way that supports interoperability.
AS-4JAUS Joint Architecture for Unmanned Systems Committee
The soft and rough terrain on the planet's surface significantly affects the ride and safety of rovers during high-speed driving, which imposes high requirements for the control of the suspension system of planet rovers. To ensure good ride comfort of the planet rover during operation in the low-gravity environment of the planet's surface, this study develops an active suspension control strategy for torsion spring and torsional damper suspension systems for planet rovers. Firstly, an equivalent dynamic model of the suspension system is derived. Based on fractal principles, a road model of planetary surface is established. Then, a fuzzy-PID based control strategy aimed at improving ride comfort for the planet rover suspension is established and validated on both flat and rough terrains. This study provides an advanced suspension system control strategy for planet rovers' ride comfort and safety during high-speed driving, ensuring the smooth operation of vehicles on the rough extraterrestrial terrain.
Liu, JunZhang, KaidiShi, JunweiWu, JinglaiZhang, Yunqing
A novel control method based on full-order sliding mode is proposed in this paper to solve the trajectory tracking control problem of unmanned vehicle formation. The complexity of the unmanned vehicle system is considered and a dynamic error model of the system is established . A full-order sliding mode control method is adopted to realize the cooperative control of unmanned vehicle systems. The unmanned vehicle system can force each vehicle accurately track the specified trajectory. The simulation results show that the designed full-order sliding mode control method has excellent performance compared with the traditional linear sliding mode control in terms of accuracy and robustness. In the case of large changes in different types of road surface and vehicle dynamics, the movement of unmanned vehicles is effectively controlled, and the trajectory tracking control of unmanned vehicle formation system is realized.
Zhou, MinghaoChen, JiaxinCai, WeiFei, Xueran
In intelligent surveillance and reconnaissance (ISR) missions, multiple autonomous vehicles, such as unmanned ground vehicles (UGVs) or unmanned aerial vehicles (UAVs), coordinate with each other for efficient information gathering. These vehicles are usually battery-powered and require periodic charging when deployed for continuous monitoring that spans multiple hours or days. In this paper, we consider a mobile host charging vehicle that carries distributed sources, such as a generator, solar PV and battery, and is deployed in the area where the UAVs and UGVs operate. However, due to uncertainties, the state of charge of UAV and UGV batteries, their arrival time at the charging location and the charging duration cannot be predicted accurately. We propose a stochastic modeling approach to deal with these uncertainties based on certain physical assumptions such as the flight time for a UAV, distance travelled for a UGV, and the final state of charge of the battery before they leave the host charging vehicle. Based on the stochastic model, an aggregated charging power demand is forecasted. A model predictive control-based operation is then used for the operation of the distributed sources on the host vehicle to meet the forecasted charging power demand. The host vehicle battery works as a buffer during abrupt changes in the charging power demand. The operational scenario is simulated with ten UAVs, ten UGVs and a host vehicle carrying a diesel generator, a battery pack and a PV system. The result of this work is applicable to energy-aware charging management for a fleet of vehicles.
Paudel, SarojZhang, JiangfengAyalew, BeshahSkowronska, Annette
RMIT University’s Arnan Mitchell and University of Adelaide’s Dr. Andy Boes led an international team to review lithium niobate’s capabilities and potential applications in the journal Science. The team is working to make navigation systems that help rovers drive on the Moon — where GPS is unable to work — later this decade.
This document defines a set of standard application layer interfaces called JAUS Mission Spooling Services. JAUS Services provide the means for software entities in an unmanned system or system of unmanned systems to communicate and coordinate their activities. The Mission Spooling Services represent the physical platform-independent capabilities commonly found across all domains and types of unmanned systems. At present, one service is defined in this document (more services are planned for future versions of this document): Mission Spooler: Stores, manages, and executes lists of tasks The Mission Spooler service is described by a JAUS Service Definition (JSD) which specifies the message set and message protocol required for compliance. The JSD is fully compliant with the JAUS Service Interface Definition Language (JSIDL).
AS-4JAUS Joint Architecture for Unmanned Systems Committee
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Tobolski, Sue
The traditional Double Deep Q-Network (DDQN) algorithm suffers from slow convergence and instability when dealing with complex environments. Besides, it is often susceptible to getting stuck in a local optimal solution and may fail to discover the optimal strategy. As a result, Unmanned Ground Vehicle (UGV) cannot search for the optimal path. To address these issues, the study presents an Improved Dueling Double Deep Q Network (ID3QN) algorithm, which adopts dynamic ε-greed strategy, priority experience replay (PER) and Dueling DQN structure. Where, UGV solves the problem of insufficient exploration and overexploitation according to the dynamic ε-greed strategy. Moreover, high-priority experience examples are extracted using the priority experience replay approach. Meanwhile, the Dueling DQN method can effectively manage the relationship between state values and dominance values. According to the experiment’s accomplishments, the ID3QN method outperforms the DDQN approach in terms of stability and rate of convergence, and obtains a better path in UGV path planning.
He, ZhaonianPang, HuiBai, ZekunZheng, LizheLiu, Lei
NASA launches satellites, rovers, and orbiters to investigate humanity’s place in the Milky Way. When these missions reach their destinations, their scientific instruments capture images, videos, and valuable insights about the cosmos. Communications infrastructure in space and on the ground enables the data collected by these missions to reach Earth. Without ground stations to receive it, however, the extraordinary data captured by these missions would be stuck in space, unable to reach scientists and researchers on Earth.
During her recent remarks at the National Defense Industrial Association's (NDIA) Emerging Technologies for Defense conference, U.S. Deputy Secretary of Defense Kathleen Hicks outlined the agency's new “Replicator” initiative. Under the new Replicator initiative, over the next 18 to 24 months, the Defense Department will deploy thousands of low cost autonomous systems across multiple domains. DoD officials are limiting the amount of information they will release around technology or platform specifics for Replicator. Hicks did confirm however that Replicator has been established to counter the rapid buildup of the People's Republic of China's (PRC) armed forces, weapons and new technologies.
In the last decades we have witnessed an increasing number of military operations in urban environments. Complex urban operations require high standards of training, equipment, and personnel. Emergency forces on the ground will need specialized vehicles to support them in all parts and levels of this extremely demanding environment including the subterranean and interior of infrastructure. The development of vehicles for this environment has lagged but offers a high payoff. This article describes the method for developing a concept for an urban operations vehicle by characterization of the urban environment, deduction of key issues, evaluation of related prototyping, science fiction story-typing of the requirements for such a vehicle, and comparison with field-proven and scalable solutions. Embedding these thoughts into a comprehensive research and development program provides lines of development, setting the stage for further research.
Hofer , PeterKnight, Charles
ABSTRACT Unmanned ground vehicles (UGVs) that autonomously maneuver over off-road terrain are susceptible to a loss of stability through untripped rollovers. Without human supervision and intervention, untripped rollovers can damage the UGV and render it unusable. We create a runtime monitor that can provide protection against rollovers that is independent of the type of high-level autonomy strategy (path planning, navigation, etc.) used to command the platform. In particular, we present an implementation of a predictive system monitor for untripped rollover protection in a skid-steer robotic platform. The system monitor sits between the UGV’s autonomy stack and the platform, and it ensures that the platform is not at risk of rollover by intercepting mobility commands sent by the autonomy stack, predicting platform stability, and adjusting the mobility commands to avoid potential rollovers. We demonstrate our implementation through experiments with skid-steer UGVs in Gazebo simulation and physical experiments. Citation: E. Dietrich, S. Pohland, D. Genin, A. Schmidt, G. Vallabha, A. Composto, M. Randolph, “A Runtime Monitor for Platform Protection Against Skid-steer Untripped Rollovers,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Dietrich, ElizabethPohland, SaraGenin, DanielSchmidt, AuroraVallabha, GautamComposto, AnthonyRandolph, Marcus
ABSTRACT This paper contains descriptions and demonstrations of automated test drivers (ATDs) for several different style off-road vehicles. These robotic ATDs can be used without a human operator, to drive vehicles in scenarios that are unsafe for human drivers. Full-scale vehicle tests including rollovers, pitchovers, and crashes involving Recreational Off-Highway Vehicles (ROVs), All-Terrain Vehicles (ATVs), and Zero-Turn Riding Mowers (ZTMs) are included in the paper. The mechanical actuators used to control steering, throttle, and braking differ for the different ATDs. However, they use similar control strategies, network architecture, and electronics. Using these similar items as a starting point would be beneficial for developing ATDs for different styles of military vehicles. Citation: G. Heydinger, S. Zagorski, D. Andreatta, M. Bartholomew, “Development and Use of Driving Robots for Conducting Unmanned Tests of Off-Road Vehicles,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Heydinger, GaryZagorski, ScottAndreatta, DaleBartholomew, Meredith
ABSTRACT Geotechnical site characterization is the process of collecting geophysical and geospatial characteristics about the surface and subsurface to create a 3-dimensional (3D) model. Current Robot Operating System (ROS) world models are designed primarily for navigation in unknown environments; however, they do not store the geotechnical characteristics requisite for environmental assessment, archaeology, construction engineering, or disaster response. The automotive industry is researching High Definition (HD) Maps, which contain more information and are currently being used by autonomous vehicles for ground truth localization, but they are static and primarily used for navigation in highly regulated infrastructure. Modern site characterization and HD mapping methods involve survey engineers working on-site followed by lengthy post processing. This research addresses the shortcomings for current world models and site characterization by introducing Site Model Geospatial System (SMGS). This site model leverages an octree spatial data model to store heterogeneous geotechnical information in a Volumetric Pixel (Voxel) grid, which allows for more efficient algorithms in data analysis and fusion. SMGS provides a real-time, dynamically updated, 3D data model with semantically derived costmaps for navigation and Engineer operations, ground truth localization without GPS, and produces standard Geographic Information System (GIS) maps. Citation: M. Richards, K. Murphy, I. Lopez Toledo, A. Soylemezoglu, “A Semantically Classified Geo-spatial 3D Octree Voxel Based System for Geotechnical Site Characterization,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Richards, Matthew E.Murphy, Kevin F.Toledo, Israel LopezSoylemezoglu, Ahmet
ABSTRACT A major benefit of intelligent and autonomous vehicles is their ability to navigate through hazardous environments that pose a significant danger to humans. In such environments, eventual damage to vehicle sensors is often inevitable. To address this threat to vehicle function, we propose a more robust system in which information from alternative sensors is leveraged to restore navigation capabilities in the case of primary sensor failure. This system employs image translation methods that enable the vehicle to use images generated from an auxiliary camera to synthesize the display of the primary camera. In this work, we present a conditional Generative Adversarial Network (cGAN) based method for view translation coupled with a Residual Neural Network for imitation learning. We evaluate our approach in the CARLA simulator and demonstrate its ability to restore navigation capabilities to a real-world vehicle by generating a front-view image from a left-camera view. Citation: Dan Zhang, Bradley Sanders, Grayson Byrd, Feng Luo, Venkat Krovi, David Gorsich, Jonathon M. Smereka, Mark Brudnak, “Cross-view Image Translation using Conditional GAN for Autonomous Driving”. In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Zhang, DanSanders, BradleyByrd, GraysonLuo, FengKrovi, VenkatGorsich, DavidSmereka, Jonathon M.Brudnak, Mark
ABSTRACT Automotive electrical/electronic (E/E) architectures are continuously evolving to meet the technological challenges of the highly connected, software-defined vehicle. Advances are being made in µController/µProcessor compute hardware, software, and cyber security methodologies, to provide enhanced security, safety, flexibility and functionality. These advancements will mature through millions of miles of road/lab testing and reach TRLs suitable for use by the Army to implement safe and secure cyber-resilient platforms for manned and unmanned ground vehicle systems. This paper will describe three specific advances that will benefit Army vehicle programs of the future: Software that leverages the Modular Open Systems Approach (MOSA) as a secure and flexible Service Oriented Architecture (SOA) framework; Hardware-based Communication Engines for high bandwidth/low latency network communications; and a Hardware Security Module (HSM) that enhances the cyber-resilience of the next generation of the Army’s neXtECU module. Citation: J. Cates (GuardKnox), K Nielson, J. Stempnik, “Advanced Modular Vehicle Architectures and Cyber Resilience in the Software Defined Vehicle,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Cates, JameyNielson, KarlStempnik, Joe
Given an unordered list of spatial tasks to be completed by a team of unmanned ground vehicles (UGVs), this paper formulates and solves energy-aware mission planning for the team operating in an off-road geographic area. The mission planning problem uses the unordered task list and a priori-computed energy and time cost-to-go maps of the mission area to create a complete directed graph as input. The mission planner is formulated as an instance of a multi-objective vehicle routing problem allowing for charging rendezvous with a mobile charging host included in the team. A complete list of constraints and the objective function lead to a mixed-integer program that can be solved with existing tools for various mission scenarios. Example mission planning results are included to demonstrate the workings of the approach.
Miller, N.Goulet, N.Ayalew, B.
ABSTRACT Presented are two designs for compact, low-profile UGVs with high cross-country mobility, intended for underbody operations with heavy manned vehicles. These UGVs are designed to remotely detect and assess combat damage incurred during combat operations, and analyze wear, leaks, and cracks, without the need for a human technician to be exposed to enemy fire, allowing crews to rapidly assess the conditions of their vehicles. Since robots required for underbody inspection would necessarily maintain a low, compact profile, they could also perform effective last-mile resupply in a contested environment, their small size allowing them to hide behind terrain and battlefield debris much more effectively than a heavy logistics robot. Naturally, a robotic vehicle that is capable of rapid underbody inspection of friendly vehicles or last-mile resupply could also be easily adapted as a combat platform to be used against enemy vehicles. Citation: A. Washington, et al., “Expendable Low-Profile Robot for Vehicle Underbody Operation”, in Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Washington, AnastasyaStempien, AndrewSchouster, RyanWilson, DrewRead, CallumSvoboda, GarretBurton, JaredPendergrass, JacobYoung, FreddieBennett, JacobSapunkov, Oleg B.
ABSTRACT Autonomous ground vehicles have the potential to reduce the risk to Soldiers in unfamiliar, unstructured environments. Unmanned operations in unstructured environments require the ability to guide the vehicles from their starting position to a target position. This paper proposes a framework to plan paths across such unstructured environments using a priori information about the environment as cost criteria into a multi-criteria, multi-agent path planner. The proposed multi-criteria, multi-agent path planner uses a penalty-based A* algorithm to plan multiple paths across the unstructured environment and uses entropy weighting for generating weights to calculate a multi-criteria cost with distance, risk, and soil trafficability. The paths generated by the proposed framework provide a better overall performance across the cost criteria and can be used as waypoints to navigate UGVs in off-road environments. Citation: S. Khatiwada, P. Murray-Tuite, M.J. Schmid, “Multi-Criteria Multi-Agent Path Planning In Unstructured Off-Road Environments,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Khatiwada, SachetMurray-Tuite, PamelaSchmid, Matthias J
Autonomous Navigation (AN) in complex-heterogeneous environments is an unsolved issue for both commercial and defense Autonomous Vehicle (AV) applications: A) Based on accumulated data through 2021 there are on average 9.1 driverless car crashes per million miles driven compared to 4.1 human-driven car crashes. B)The US Army recently reduced the requirement for its current Bradley replacement program of record from an “optionally manned fighting vehicle” to a system that “will not be something you operate entirely unmanned in its initial configuration”. C) Between 2021 and 2023 Ford, UBER, Lyft and Tesla have limited their fully AV operations due to safety related business concerns. It is clear a research breakthrough is needed to ensure AV software is mature to a point where it can handle complex driving scenarios. In complex dynamic domains (e.g. intersections or congested terrain) the expected mode of operation for ensured safety of these unmanned systems is still direct human control (whether through direct vehicle input or teleoperation). This paper summarizes results of a completed PHD focused on the creation of an autonomous vehicle safety reasoning copiloting system that works.
Frederick, Philip A.
Since the dawn of the space race, the idea of sending humans to Mars has been the subject of aerospace engineering and scientific studies. From the successful flyby of NASA’s Mariner 4 in 1964 to the Perseverance rover in 2020, the missions to Mars have come a long way.
Electrification and autonomous technologies open a whole new world of possibilities for the defense sector. While there are certainly barriers and challenges to integrating these technologies and making them commonplace in the near term, there is also huge potential to revolutionize the state of warfare and defense, especially when considering unmanned ground vehicle platforms. At large, an electric and autonomous future in the defense sector will greatly improve the efficiency and effectiveness of military operations, while also substantially reducing the environmental footprint, fully burdened cost of fuel and risk to human life. Likewise, purely electric propulsion systems do not emit any exhaust gases and are much quieter than conventional counterparts, which is an asset for stealth efforts. Even though these vehicles may not be a reality for quite some time given the need for significant technology and infrastructure advancements, engineers should be diving headfirst into the design possibilities that this sort of transformation unlocks. To fully maximize the benefits that autonomy and electrification can bring, a completely new vehicle architecture is required, making room to re-envision what these vehicles could look like, what technology can be integrated and how much more power can be squeezed from having more design freedom.
Electrification and autonomous technologies open a whole new world of possibilities for the defense sector. While there are certainly barriers and challenges to integrating these technologies and making them commonplace in the near term, there is also huge potential to revolutionize the state of warfare and defense, especially when considering unmanned ground vehicle platforms. At large, an electric and autonomous future in the defense sector will greatly improve the efficiency and effectiveness of military operations, while also substantially reducing the environmental footprint, fully burdened cost of fuel and risk to human life. Likewise, purely electric propulsion systems do not emit any exhaust gases and are much quieter than conventional counterparts, which is an asset for stealth efforts.
The physical characteristics of Mars's soil have an impact on how easily a spacecraft can land and navigate the planet's surface. On the surface of Mars, wheeled robots known as "rovers" were planted to carry out scientific investigations on the planet's historical temperature, surface geology, and possibilities for past or current life. The challenges of guiding mobile robots across terrain that is sloping, rocky, and deformable have brought to light the significance of creating precise simulation models of the tire and mars soil interaction. In this paper, current efforts to create a terramechanics-based model of rover movement using a Non-Pneumatic (NP) tire on planetary surfaces are discussed. Since no rocks or soils have been brought back to Earth from Mars, Martian simulants are frequently used for testing rovers and other devices for Mars terrain research. Using a Finite Element Analysis-based NP tire model that is modeled and tested, in addition to a dry loose Martian soil that is modeled using Smoothed-Particle Hydrodynamics (SPH) technique and calibrated using pressure-sinkage and direct shear test. The rolling resistance coefficient on a Mars simulant can be investigated and analyzed. Results obtained from this research will validate the sustainability of NP tires for future Exploration of Mars.
Sidhu, Charanpreet SinghEl-Sayegh, ZeinabLy, Alfonse
Semantic segmentation is an integral component in many autonomous vehicle systems used for tasks like path identification and scene understanding. Autonomous vehicles must make decisions quickly enough so they can react to their surroundings, therefore, they must be able to segment the environment at high speeds. There has been a fair amount of research on semantic segmentation, but most of this research focuses on achieving higher accuracy, using the mean intersection over union (mIoU) metric rather than higher inference speed. More so, most of these semantic segmentation models are trained and evaluated on urban areas instead of off-road environments. Because of this there is a lack of knowledge in semantic segmentation models for use in off-road unmanned ground vehicles. In this research, SwiftNet, a semantic segmentation deep learning model designed for high inference speed and accuracy on images with large dimensions, was implemented and evaluated for inference speed of semantic segmentation of off-road environments. SwiftNet was pre-trained on the ImageNet dataset, then trained on 70% of the labeled images from the Rellis-3D dataset. Rellis-3D is an extensive off-road dataset designed for semantic segmentation, containing 6234 labeled 1920x1200 images. SwiftNet was evaluated using the remaining 30% of images from the Rellis-3D dataset and achieved an average inference speed of 24 frames per second (FPS) and an mIoU score 73.8% on a Titan RTX GPU.
Selee, BradleyFaykus, MaxSmith, Melissa
A state-of-the-art review of the technical meaning and application of the term ‘maneuver’, used by the U.S. Army and ground vehicle engineering communities, was performed with regard to various military activities, including modeling and simulation (M&S), to focus on the value and applicability of the term to military vehicle dynamics. As shown, U.S. military doctrine has built through history and experience a unique concept of maneuver-in-general and its application in U.S. Army unified land operations. Yet, the term ‘maneuver’ needs further technical categorization and characterization for the purpose of dynamics of military unmanned ground vehicles (UGVs) and vehicle design for maneuver. While the NHTSA and SAE standards and definitions provide solid foundations for M&S of cars and trucks to enhance the safety of those vehicles (manned and autonomous), occupants, and pedestrians on roads, the standards cannot address all needs of military vehicles in maneuver. Military UGVs are designed to operate in hyper-dynamic battlefield and tactical conditions on severe terrains where manned systems cannot operate. These operational conditions require a different approach to modeling, simulation, and real-time UGV-self-assessment of its dynamic behavior to be technically capable to fulfill autonomous missions and tasks for the sake of the safety of warfighters and the UGV itself. In the paper, a technical definition for a military vehicle maneuver is presented with the purpose of encompassing vehicle agile movements with extended safety due to controllable instability and also unsafe movements on a need basis. Sub-element definitions of a vehicle maneuver and new ideation of agile movement is proposed to narrow the scope to vehicle military tasks in austere environments. Along with formulation, a graphical interpretation is provided to illustrate advantages of the proposed approach for planning UGV motion using geometric and kinematics characteristics. The contextual application is shown in an operation study to illustrate where the terms can improve M&S.
Whitson, Jordan A.Gorsich, DavidVantsevich, Vladimir V.Letherwood, MichaelSapunkov, OlegMoradi, Lee
Traditional ground vehicle architectures comprise of a chassis connected via passive, semi-active, or active suspension systems to multiple ground wheels. Current design-optimizations of vehicle architectures for on-road applications have diminished their mobility and maneuverability in off-road settings. Autonomous Ground Vehicles (AGV) traversing off-road environments face numerous challenges concerning terrain roughness, soil hardness, uneven obstacle-filled terrain, and varying traction conditions. Numerous Active Articulated-Wheeled (AAW) vehicle architectures have emerged to permit AGVs to adapt to variable terrain conditions in various off-road application arenas (off-road, construction, mining, and space robotics). However, a comprehensive framework of AAW platforms for exploring various facets of system architecture/design, analysis (kinematics/dynamics), and control (motions/forces) remains challenging. While current literature on the AAW system incorporates modeling and control from the legged and wheeled-legged robots community, it lacks a systematic process of architecture selection and motion control that should be developed around critical quantifiable performance parameters. This paper will: (i) analyze a broad body of literature; and (ii) identify modeling and control techniques that can enable the efficient development of AAW platforms. We then analyze key performance measures with respect to traversability, maneuverability, and terrainability, along with an experimental simulation of an AAW vehicle traversing over uneven terrain and how active articulation could achieve some of the critical performance measures. Against the performance parameters, gaps within the existing literature and opportunities for further research are identified to potentially enhance AAW platforms’ performance.
Mehta, DhruvKosaraju, Krishna ChaitanyaKrovi, Venkat N
Unmanned Ground Vehicle (UGV) has a wide range of applications in the military, agriculture, firefighting and other fields. Path planning, as a key aspect of autonomous driving technology, plays an essential role for UGV to accomplish the established driving tasks. At present, there are many global path planning algorithms in grid maps on unstructured roads, while general grid maps do not consider the specific elevation or ground type difference of each grid, and unstructured roads are generally considered as flat and open roads. On the contrary, the unmanned off-road is always a bumpy road with undulating terrain, and meanwhile, the landform is complex and the types of features are diverse. In order to ensure the safety and improve the efficiency of autonomous driving of UGV in off-road environment, this paper proposes a global off-road path planning method for UGV based on the raw image of remote sensing map. Firstly, the raw image is gridded. The map elevation information is assigned based on the digital elevation model (DEM) and the terrain is classified and labeled in the grid map based on the back propagation neural network (BPNN). Based on the reconstructed off-road grid map, a modified A* algorithm considering the safety and efficiency of UGV passage is designed for global path planning on off-road environment. Simulation results based on real off-road environment show that the proposed global planning algorithm can avoid impassable areas and make UGVs drive on high traffic efficiency roads as much as possible.
Zhang, JianXie, FeiWang, ChaoLiu, QiuzhengHong, RiDu, Jinpeng
The Association for Uncrewed Vehicle Systems International (AUVSI) is bringing this year's XPONENTIAL 2023 to the Colorado Convention Center in Denver, Colorado. The event, which runs from May 8 - 11, will feature three days of educational programming and more than 600 exhibitors representing all aspects of the unmanned vehicle and robotics industries showcasing their latest technology to attendees from all over the world. So, what's on tap for this year's XPONENTIAL 2023? The theme for this year's XPONENTIAL is “The Blueprint for Autonomy” and AUVSI has updated the event with new features based on attendee feedback.
Magna's full-vehicle expertise, systems savvy, and start-up mindset are opening new mobility markets - with extra pepperoni. Pizza is a subject that puts a smile on most faces, but for Matteo Del Sorbo, the delight extends far beyond the actual pie. “We’re having a lot of fun with this program!” exclaimed Del Sorbo, the executive VP at Magna International and global lead for the Tier 1's New Mobility enterprise, in an interview with SAE Media. “It's demonstrating our ability to innovate and move fast. And it's opening another new market that we very much want to play in.”
Brooke, Lindsay
What Is It? What Does it Do? How Does It Work? The Distributed Extreme Environment Drive System (DEEDS) is an advanced space-rated avionic and actuation control system that addresses a wide thermal range of operations for harsh environments. This new technology development, undertaken by Motiv Space Systems (Motiv), addresses some of the most stringent environmental requirements of lunar and deep space exploration. It will enable sustained operations for critical systems like lunar rovers, robotics, cranes, offload equipment, ISRU processing equipment, and cargo manipulation systems. DEEDS was funded under NASA's SBIR ‘Moon to Mars’ Sequential Program and builds on previously established cryogenic operating avionic SBIR-funded technologies that have been successfully commercialized for orbital and lunar lander systems.
To achieve battlespace dominance, energy flow characterizations of individual platforms and the aggregate battlespace must be developed to adapt and exploit the variable operating conditions. Army Research Laboratory, White Sands Missile Range, New Mexico The future battlefield will be filled with multiple dissimilar energy networks including unmanned and manned vehicular platforms actively engaged in cooperative control and communications capable of overpowering an adversary and dominating the battlespace. This chaotic multi-domain operational environment will be limited by variable operating conditions (mission profiles, terrain, atmospheric conditions), copious amounts of real-time actionable intelligence derived from weapon and sensor suites, and most importantly, the energy capabilities of each platform. To achieve dominance within the battlespace, energy flow characterizations of individual platforms and the aggregate battlespace must be developed with respect to the variable operating conditions. As an example, consider the power-requirement differences between the General Atomics MQ-1 Predator (an unmanned aerial vehicle), the Gladiator Tactical Unmanned Ground Vehicle, and the Mine Countermeasures Unmanned Surface Vessel (an unmanned sea vehicle). The predator is designed to provide air superiority, support fires, maneuvers, communication, and coordination-based missions. The Gladiator supports fires, maneuvers, communication, and coordination-based missions. The mine counter-measures vessel is designed to assist with maneuver and coordination-based missions and could be extended to support fire-based missions. Current and future military operations will routinely coordinate with multiple dissimilar heterogeneous systems spanning multiple domains resulting in Multi-Domain Operations (MDO).
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