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result(s) for
"Robotics Military applications"
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Wired for war : the robotics revolution and conflict in the twenty-first century
by
Singer, P. W. (Peter Warren) author
in
Military art and science Forecasting
,
Robotics Military applications
,
Military robots
2010
A military expert reveals how science fiction is fast becoming reality on the battlefield, changing not just how wars are fought, but also the politics, economics, laws, and ethics that surround war itself.
Killing without Heart
2013
The days of large force-on-force engagements with conventional
fielded armies are seemingly gone. Today's persistent conflict,
conducted among civilian populations and fought by small bands of
combatants, will be remembered for this alteration in the tapestry
of war and for the first large-scale use of unmanned vehicles.
According to M. Shane Riza, this \"war among the people\" and the
trend toward robotic warfare has outpaced deliberate thought and
debate about the deep moral issues affecting justice and the
warrior spirit. The pace of change, Riza explains, is
revolutionizing warfare in vitally important ways. A key
development is risk inversion, a shifting of risk away from
technologically superior combatants and onto all noncombatants. For
the first time in history, warriors are not the ones primarily
shouldering the dangers and horrors of battle. This inversion and
the search for impunity undermine the idea that how we win actually
matters as much as winning itself. Though warfare involves human
fallibility, there are ethics in striving that give meaning to war
on a personal level. In just war theory, this sense of purpose
imposes a practical limit on what belligerents can and should do to
their opponents. Contemporary robotic warfare, however, may remove
combatants' moral equivalence and it adversely affects the mutual
respect upon which to build a lasting peace. Killing without
Heart postulates today's technological wars of combatant
impunity may ultimately render unmanned weapons useless with the
realization that robotic lethality undermines our strategic
objectives. Riza has crafted a timely examination of the moral,
ethical, and legal implications of the U.S. military's future
course toward armed unmanned and autonomous robotic warfare. This
is a book that will change the way we look at warfare-both for
today and well into the future.
A Review of Swarm Robotics in a NutShell
by
Baloach, Naveed Khan
,
Saeed, Zubair
,
Yousaf, Muhammad Haroon
in
Air defense
,
Algorithms
,
Behavior
2023
A swarm of robots is the coordination of multiple robots that can perform a collective task and solve a problem more efficiently than a single robot. Over the last decade, this area of research has received significant interest from scientists due to its large field of applications in military or civil, including area exploration, target search and rescue, security and surveillance, agriculture, air defense, area coverage and real-time monitoring, providing wireless services, and delivery of goods. This research domain of collective behaviour draws inspiration from self-organizing systems in nature, such as honey bees, fish schools, social insects, bird flocks, and other social animals. By replicating the same set of interaction rules observed in these natural swarm systems, robot swarms can be created. The deployment of robot swarm or group of intelligent robots in a real-world scenario that can collectively perform a task or solve a problem is still a substantial research challenge. Swarm robots are differentiated from multi-agent robots by specific qualifying criteria, including the presence of at least three agents and the sharing of relative information such as altitude, position, and velocity among all agents. Each agent should be intelligent and follow the same set of interaction rules over the whole network. Also, the system’s stability should not be affected by leaving or disconnecting an agent from a swarm. This survey illustrates swarm systems’ basics and draws some projections from its history to its future. It discusses the important features of swarm robots, simulators, real-world applications, and future ideas.
Journal Article
Army of none : autonomous weapons and the future of war
The era of autonomous weapons has arrived. Today around the globe, at least thirty nations have weapons that can search for and destroy enemy targets all on their own. Paul Scharre, a leading expert in next-generation warfare, describes these and other high tech weapons systems--from Israel's Harpy drone to the American submarine-hunting robot ship Sea Hunter--and examines the legal and ethical issues surrounding their use. \"A smart primer to what's to come in warfare\" (Bruce Schneier), Army of None engages military history, global policy, and cutting-edge science to explore the implications of giving weapons the freedom to make life and death decisions. A former soldier himself, Scharre argues that we must embrace technology where it can make war more precise and humane, but when the choice is life or death, there is no replacement for the human heart. -- Back cover.
A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms
by
Idrissi, Moad
,
Salami, Mohammad
,
Annaz, Fawaz
in
Algorithms
,
Architectural design
,
Artificial Intelligence
2022
Over the past decade, unmanned aerial vehicles (UAVs) have received a significant attention due to their diverse capabilities for non-combatant and military applications. The primary aim of this study is to unveil a clear categorization overview for more than a decade worth of substantial progress in UAVs. The paper will begin with a general overview of the advancements, followed by an up-to-date explanation of the different mechanical structures and technical elements that have been included. The paper will then explore and examine various vertical take-off and landing (VTOL) configurations, followed by expressing the dynamics, applicable simulation tools and control strategies for a Quadrotor. In conclusion to this review, the dynamic system presented will always face limitations such as internal and/or external disturbances. Hence, this can be minimised by the choice of introducing appropriate control techniques or mechanical enhancements.
Journal Article
Accelerated Skills Acquisition Protocol (ASAP) in optimizing robotic surgical simulation training: a prospective randomized study
by
Joseph, Jean V
,
Ghazi, Ahmed E
,
Gurung, Pratik M
in
Computer applications
,
Medical students
,
Military training
2020
PurposeTo assess the efficacy of an accelerated proficiency-based training protocol in robotic simulation practice in delivering durable proficiency compared to conventional training methods.MethodsNovice medical students (n = 16) were randomized into either the accelerated skills acquisition protocol (ASAP) or conventional training protocol (CTP). Subjects were trained to proficiency on the da Vinci Skills Simulator (dVSS) by an expert trainer. Differences in the repetitions required to achieve proficiency in two simple and two complex virtual reality (VR) training tasks were assessed as the primary outcome measure. Transfer of the acquired skills to two other non-practiced tasks was assessed immediately and prospectively followed through to 3, 6 and 12 months in the two groups. Retention of the practiced tasks was assessed along the same timeframe.ResultsSubjects in the ASAP group acquired proficiency significantly faster in three of the four training tasks: camera control (p = 0.0002), suture sponge (p < 0.0001), ring walk3 (p < 0.0001), and peg board (p = 0.6936). When assessing transfer of skills, there were no significant differences between the two groups: Ring rail 3 (p = 0.6807) and Tubes (p = 0.2240). When assessing retention of skills at 3, 6 and 12 months, for all 6 tasks, no significant differences were seen between the ASAP and CTP groups.ConclusionASAP is proven to be an efficient approach for delivering proficiency in robotic VR simulation training. The results are durable when compared to conventional simulation training methods. The findings may have significant implications in the design of robotic VR simulation curricula.
Journal Article
Review on Unmanned Underwater Robotics, Structure Designs, Materials, Sensors, Actuators, and Navigation Control
by
Fonseca, Paola
,
Sequeiros, Cristhel
,
Nina, Wilder
in
Actuators
,
Autonomous underwater vehicles
,
Control equipment
2021
Since its beginning, around the 50s decade, until present days, the area of unmanned underwater vehicles (UUV) has considerably grown through time; those have been used for many tasks and applications, from bomb searching and recovery to sea exploration. Initially, these robots were used mainly for military and scientific purposes. However, nowadays, they are very much extended into civils, and it is not hard to find them being used for recreation. In this context, the present research is an effort to make a walkthrough of evolution in this area, showing a diversity of structure designs, used materials, sensor and instrumentation technologies, kinds and the number of actuators employed, navigation control techniques, and what is new in development trends. The paper gives a clear starting point for those who are initializing into this research area; also, it brings some helpful knowledge for those who already have experience.
Journal Article
Ultrathin MXene-aramid nanofiber electromagnetic interference shielding films with tactile sensing ability withstanding harsh temperatures
by
Huang, Xingyi
,
Yi, Pengshu
,
Wang, Siqi
in
Atomic/Molecular Structure and Spectra
,
Automation
,
Biomedicine
2021
Ultrathin and flexible electromagnetic shielding materials hold great potential in civil and military applications. Despite tremendous research efforts, the development of advanced shielding materials is still needed to provide additional functionalities for various artificial-intelligence-driven systems, such as tactile sensing ability. Herein, a layering design strategy is proposed to fabricate ultrathin Ti
3
C
2
T
x
MXene-aramid nanofiber (MA) films by a layer-by-layer assembling process. Compared to that of randomly mixed films, the designed MA films exhibited a higher EMI shielding efficiency at an ultrathin thickness of 9 µm, which increased from 26.4 to 40.7 dB, owing to the additional multiple-interface scattering mechanism. Importantly, the novel MA films displayed strong EMI shielding ability even after heating/cooling treatments within a wide temperature range of −196 to 300 °C. Moreover, the same material displayed a tensile strength of 124.1 ± 2.7 MPa and a toughness of 6.3 ± 1.1 MJ·m
−3
, which are approximately 9.1 times and 45 times higher than those of pure MXene films, respectively. The MA film is also capable of detecting tactile signals via the triboelectric effect. A 2 × 4 tactile sensor array was developed to achieve an accurate signal catching capability. Therefore, in addition to the shielding performance, the manifestation of tactile perception by the MA films offers exciting opportunities in the fields of soft robotics and human-machine interactions.
Journal Article
Model-free tracking control of complex dynamical trajectories with machine learning
by
Moradi, Mohammadamin
,
Kong, Ling-Wei
,
Lai, Ying-Cheng
in
639/166/988
,
639/766/530/2803
,
Control systems
2023
Nonlinear tracking control enabling a dynamical system to track a desired trajectory is fundamental to robotics, serving a wide range of civil and defense applications. In control engineering, designing tracking control requires complete knowledge of the system model and equations. We develop a model-free, machine-learning framework to control a two-arm robotic manipulator using only partially observed states, where the controller is realized by reservoir computing. Stochastic input is exploited for training, which consists of the observed partial state vector as the first and its immediate future as the second component so that the neural machine regards the latter as the future state of the former. In the testing (deployment) phase, the immediate-future component is replaced by the desired observational vector from the reference trajectory. We demonstrate the effectiveness of the control framework using a variety of periodic and chaotic signals, and establish its robustness against measurement noise, disturbances, and uncertainties.
In nonlinear tracking control, relevant to robotic applications, the knowledge on the system model may be not available and there is current need in model-free approaches to track a desired trajectory, regular or chaotic. The authors introduce here a framework that employs machine learning to control a two-arm robotic manipulator using only partially observed states.
Journal Article