What is Unmanned Ground Vehicle An unmanned ground vehicle (UGV) is a vehicle that operates while in contact with the ground without an onboard human presence. UGVs can be used for many applications where it is inconvenient, dangerous, expensive, or impossible to use an onboard human operator. Typically, the vehicle has sensors to observe the environment, and autonomously controls its behavior or uses a remote human operator to control the vehicle via teleoperation. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Unmanned ground vehicle Chapter 2: DARPA Chapter 3: Autonomous robot Chapter 4: Military robot Chapter 5: Micro air vehicle Chapter 6: Foster-Miller TALON Chapter 7: Mobile robot Chapter 8: TerraMax Chapter 9: Gladiator Tactical Unmanned Ground Vehicle Chapter 10: Black Knight (vehicle) (II) Answering the public top questions about unmanned ground vehicle. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Unmanned Ground Vehicle.

Unmanned ground vehicles (UGV) are expected to play a key role in the Army's Objective Force structure. These UGVs would be used for weapons platforms, logistics carriers, and reconnaissance, surveillance, and target acquisition among other things. To examine aspects of the Army's UGV program, assess technology readiness, and identify key issues in implementing UGV systems, among other questions, the Deputy Assistant Secretary of the Army for Research and Technology asked the National Research Council (NRC) to conduct a study of UGV technologies. This report discusses UGV operational requirements, current development efforts, and technology integration and roadmaps to the future. Key recommendations are presented addressing technical content, time lines, and milestones for the UGV efforts.

Intelligent Unmanned Ground Vehicles describes the technology developed and the results obtained by the Carnegie Mellon Robotics Institute in the course of the DARPA Unmanned Ground Vehicle (UGV) project. The goal of this work was to equip off-road vehicles with computer-controlled, unmanned driving capabilities. The book describes contributions in the area of mobility for UGVs including: tools for assembling complex autonomous mobility systems; on-road and off-road navigation; sensing techniques; and route planning algorithms. In addition to basic mobility technology, the book covers a number of integrated systems demonstrated in the field in realistic scenarios. The approaches presented in this book can be applied to a wide range of mobile robotics applications, from automated passenger cars to planetary exploration, and construction and agricultural machines. Intelligent Unmanned Ground Vehicles shows the progress that was achieved during this program, from brittle specially-built robots operating under highly constrained conditions, to groups of modified commercial vehicles operating in tough environments. One measure of progress is how much of this technology is being used in other applications. For example, much of the work in road-following, architectures and obstacle detection has been the basis for the Automated Highway Systems (AHS) prototypes currently under development. AHS will lead to commercial prototypes within a few years. The cross-country technology is also being used in the development of planetary rovers with a projected launch date within a few years. The architectural tools built under this program have been used in numerous applications, from an automated harvester to an autonomous excavator. The results reported in this work provide tools for further research development leading to practical, reliable and economical mobile robots.

Academic Paper in the subject Engineering - Robotics, , language: English, abstract: This paper's goal is to give a concise overview of the various development streams that have led to the current status of the UGV area. Any piece of mechanized equipment that moves on the ground and is used to carry or transport something, but expressly does not carry a human body is considered a UGV in the broadest "dictionary" sense. Unmanned Vehicles are the common part of Military campaigns that reduce the load of soldiers. UVs (Unmanned vehicles) equipped with sensors, sonar, cameras and various algorithms provide real-time information which is helpful for the commanders to take quick decisions. Also, they provide access to the inaccessible areas in the enemy’s territory. They are used in search operations as well as in the rescue operations. They provide day and night vision which is fed to their artificial intelligence pre-trained algorithms that predicts the output to give information. Multiple robots can be combined to increase their working efficiency in the adverse environments. Unmanned vehicles are ones that are in close proximity to the ground and run without the assistance of a human operator. The sensors on Unmanned Ground Vehicles comprise the operating system for research and rescue. The robot is a significant entity in this context because it can mimic team characteristics like collaboration and communication while acting independently and intelligently. UGVs are more efficient in combating terrorism and in remote locations. Unmanned Ground Vehicles help and enhance the front-line soldier positions. This robot's ability is mostly contingent on keeping the soldiers safe or, at the absolute least, reducing the amount of casualties sustained during combat.

What is Learning Applied to Ground Vehicles The Learning Applied to Ground Vehicles (LAGR) initiative, which was in operation from 2004 until 2008, was designed with the intention of expediting the development of autonomous, perception-based, off-road navigation in robotic unmanned ground vehicles (UGVs). DARPA, which is a research agency under the Department of Defense of the United States of America, provided funding for LAGR. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: DARPA LAGR Program Chapter 2: DARPA Chapter 3: Autonomous robot Chapter 4: Military robot Chapter 5: DARPA Grand Challenge Chapter 6: Unmanned ground vehicle Chapter 7: European Land-Robot Trial Chapter 8: Mobile robot Chapter 9: Crusher (robot) Chapter 10: National Robotics Engineering Center (II) Answering the public top questions about learning applied to ground vehicles. (III) Real world examples for the usage of learning applied to ground vehicles in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Learning Applied to Ground Vehicles.

This book examines the future trend toward "intelligent" warfare considering the global environment, the history of warfare, and scientific and technological advancement. It develops a comprehensive set of theoretical frameworks, application concepts, and evaluation criteria for military intelligence. The volume is packed with theoretical highlights and vivid examples, including the tracking of Osama bin Laden, the decapitation strike against Qasem Soleimani, the remote assassination of Iranian nuclear scientists, the drone war in the Nagorno–Karabakh conflict, modern equipment deployed in the Palestinian–Israeli conflict, and the war between social media groups. In addition, the author envisions a possible future for "intelligent" wars in which adversarial parties engage in combat through virtual and unmanned systems. This nature may help avoid the brutality and high death toll associated with traditional warfare. The book explores the possibility of future civilized warfare. It will be of interest to researchers, academics, and students in the fields of politics, military intelligence, and military technology, and to those who are interested in intelligent warfare in general.

This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals.

Autonomous vehicles (AVs) have been used in military operations for more than 60 years, with torpedoes, cruise missiles, satellites, and target drones being early examples.1 They have also been widely used in the civilian sector-for example, in the disposal of explosives, for work and measurement in radioactive environments, by various offshore industries for both creating and maintaining undersea facilities, for atmospheric and undersea research, and by industry in automated and robotic manufacturing. Recent military experiences with AVs have consistently demonstrated their value in a wide range of missions, and anticipated developments of AVs hold promise for increasingly significant roles in future naval operations. Advances in AV capabilities are enabled (and limited) by progress in the technologies of computing and robotics, navigation, communications and networking, power sources and propulsion, and materials. Autonomous Vehicles in Support of Naval Operations is a forward-looking discussion of the naval operational environment and vision for the Navy and Marine Corps and of naval mission needs and potential applications and limitations of AVs. This report considers the potential of AVs for naval operations, operational needs and technology issues, and opportunities for improved operations.

Dynamics and Advanced Motion Control of Unmanned Ground Off-Road Vehicles details both theoretical concepts such as planning and perception when working with UGVs, as well as more practical, hands-on aspects such as torque vectoring control. The book also covers related technologies such as intelligent and electrification of ground vehicles. After an introduction, initial chapters include an exploration of wheel-soil and track-soil interaction mechanisms, motion stability, motion control, fault detection and identification, and fault tolerance control. This book offers readers a detailed understanding of Unmanned Ground Vehicles by combining theory, applications and further developments. Topics are covered in such a way that readers will be well versed on the current field of UGVs and will be able to implement future design and research in a feasible and effective way. - Gives a comprehensive analysis and introduction to the dynamics and advanced motion control of unmanned ground off-road vehicles - Covers key related technology concepts, such as intelligent and electrification of ground vehicles - Details the entire control framework of off-road UGVs and the implementation of controller design