The proposed article is devoted to the description of an intelligent urban passenger transport system based on unmanned electric vehicles, sequentially moving along a separate line. This system is a passenger transport system of a new urban mobility, formed under the influence of social conditions generated by high population density in cities, that suppose the development of pedestrian zones and ecological modes of transport, "transport as a service", etc. In this historical context, public transport systems acquire special relevance. The (...) described transport system belongs to intelligent systems, since it is capable of functioning in autonomous mode without human intervention, adaptively responding to changes in the dynamics of the flow of passengers during the day. Passengers are transported by electric cars, which can be combined into cassettes according to the principle of road trains based on the transportation plan drawn up by the intelligent center of the transport system according to the matrix of correspondences, filled in taking into account the incoming requests for service from passengers. When drawing up a transportation plan, the algorithms of the transport system give preference to transportation according to the "source-destination" principle, that is, when the passenger goes to the destination with a minimum number of intermediate stops, and ideally without them. The paper formulates also a criterion of arising of a conflict in the movement of vehicles, which allows to identify situations when an electric vehicle driving in front can detain vehicles following after. The work has relevance because the criterion will allow to make adjustments in the schedule of movement of vehicles and exclude the loss of time and energy that carries the transport system during braking and acceleration of electric cars, as well as to reduce waiting time and travel of passengers. (shrink)

The paper addresses the use of heterogeneous ensembles of intelligent unmanned vehicles in such a perspective field of innovations as an unmanned fishery. The issues of joint activity of unmanned vehicles of different types in fishing operations based on intelligent technologies are investigated. The “smart fishing” approach based on the joint fishing operation model is proposed. The operational framework that includes missions, roles, and activity scenarios embedded in the discretized spatial model is presented. The scenario activities are (...) considered as the sequences of pentad that determine executing specific functions concerning the specified waypoint, timepoints, and the states of vehicles. The definition of the plan as the scenario prototype that needs adjusting to the conditions of the situational context is proposed. The coordination problem regarding the joint activities of the unmanned vehicles and their scenarios is defined and the coordination framework based on the distributed common board model and coordination primitives is presented. The prototype of the intelligent scenario-based system including the implementation of both operational and coordination frameworks developed for the control of unmanned vehicles is described. This system makes unmanned vehicles capable to absorb all the latest advances in intelligent technologies to perform smart fishing operations jointly in a large heterogeneous group. The proposed approach to smart fishing using intelligent technologies makes it possible to detach fishermen from the fishing activities dangerous to their life and health, to reduce significantly poaching and illegal fishing, to increase the overall efficiency of fishing operations, and even to save the marine ecosystem. (shrink)

Unmanned (or Uninhabited) Aerial Vehicles are a key part of the American military's so-called revolution in military affairs (RMA) as practiced over Iraq. They are also part of the drive to shift agency away from humans and toward machines. This article considers the ways in which humans have, in calling on high technologies to distance them from what the military calls the “dull, the dirty, and the dangerous,” hoped to avoid responsibility for murder in wartime. In examining the claims (...) of weapons manufacturers and their military customers, the article focuses on the concept of “systems of systems” and the various outcomes such battlespace imaginings might have for human beings. The article concludes that the RMA entertains a fantasy of human agency while technological systems call out to and conjure up other technological systems that are possessed not only of their own logics but also purposes that are hidden and disturbing. (shrink)

Wilderness Search and Rescue is the process of finding and assisting persons who are lost in remote wilderness areas. Because such areas are often rugged or relatively inaccessible, searching for missing persons can take huge amounts of time and resources. Camera-equipped mini-Unmanned Aerial Vehicles have the potential for speeding up the search process by enabling searchers to view aerial video of an area of interest while closely coordinating with nearby ground searchers. In this paper, we report on lessons learned (...) by trying to use UAVs to support WiSAR. Our research methodology has relied heavily on field trials involving searches conducted under the direction of practicing search and rescue personnel but using simulated missing persons. Lessons from these field trials include the immediate importance of seeing things well in the video, the field need for defining and supporting various roles in the search team, role-specific needs like supporting systematic search by providing a visualization tool to represent the quality of the search, and the on-going need to better support interactions between ground and video searchers. Surprisingly to us, sophisticated autonomous search patterns were less critical than we anticipated, though advances in video enhancement and visualizing search progress, as well as ongoing work to model the likely location of a missing person, open up the possibility of closing the loop between UAV path-planning, search quality, and the likely location of a moving missing person. Keywords: Unmanned Aerial Vehicles, Wilderness Search and Rescue, Human–Robot Interaction, Human Factors, Field Robotics, Graphical User Interfaces. (shrink)

When unmanned underwater vehicles perform tasks, the marine environment situation information perceived by their sensors is insufficient and cannot be shared; moreover, the reasoning efficiency of the situation information is not high. To deal with these problems, this paper proposes an ontology-based situation awareness information expression method, using the Bayesian network method to reason about situation information. First, the situation awareness information is determined in uncertain events when performing tasks in the marine environment. The core and application ontologies of (...) UUV situation awareness are also established. Subsequently, semantic rules are constructed, and uncertain events are identified through the corresponding semantic rules. The Jess inference engine is used to update the ontology model. Because the ontology cannot reason about uncertainty, it is transformed into the Bayesian network to reason about the impacts of uncertain events on tasks. Simulation experiments verify the effectiveness and accuracy of the situation awareness reasoning method that combines the ontology and the Bayesian network. (shrink)

Floods are one of the main natural disasters, which cause huge damage to property, infrastructure, and economic losses every year. There is a need to develop an approach that could instantly detect flooded extent. Satellite remote sensing has been useful in emergency responses; however, with significant weakness due to long revisit period and unavailability during rainy/cloudy weather conditions. In recent years, unmanned aerial vehicle systems have been widely used, especially in the fields of disaster monitoring and complex environments. (...) This study employs deep learning models to develop an automated detection of flooded buildings with UAV aerial images. The method was explored in a case study for the Kangshan levee of Poyang Lake. Experimental results show that the inundation for the focal buildings and vegetation can be detected from the images with 88% and 85% accuracy, respectively. And further, we can estimate the buildings’ inundation area according to the UAV images and flight parameters. The result of this study shows promising value of the accuracy and timely visualization of the spatial distribution of inundation at the object level for the end users from flood emergency response sector. (shrink)

Several robotic automation systems, such as unmanned aerial vehicles (UAVs), are being used in combat today. This evokes ethical questions. In this paper, it is argued that UAVs, more than any other weapon, may determine which normative theory the interpretation of the laws of war (LOW) will be based on. UAVs have advantages in terms of reducing casualties for the UAV possessor, but they may at the same time make war seem more like a risk-free enterprise, much like a (...) computer game, lowering the threshold for starting a war. This indicates the importance of revising the LOW, or adding some rules that focus specifically on UAVs. (shrink)

In the mining industry, smart surveying and exploration operations for the minerals are essential during mining missions. Usually, these missions are performed in remote areas that do not have a wireless communications infrastructure. This paper proposes to use the unmanned aerial vehicle as a relay communication node between the exploration team and the ground control station. UAV can act as a relay node to provide mobile, flexible, and reliable communication links in remote environments and complex topologies. In this (...) work, the pathloss models in millimeter-wave technology are considered because they provide massive data rates for line of sight scenarios. The optimization problem of identifying a 3D location and trajectory of the UAV relay node is formulated to maximize the total team members’ data rate. Because the problem is non-convex, the particle swarm optimization algorithm is used to solve it and determine an efficient location and trajectory of the UAV. (shrink)

Over the past decade, unmanned aerial vehicles (UAVs) have received increasing attention and are being used in the areas of harvesting, videotaping, and the military industry. In this article, the consideration is focused on areas where video recording is required for ground inspections. This paper describes modern communication technologies and systems that enable interaction and data exchange between UAVs and a ground control station (GCS). This article focuses on different architectures of communication systems, establishing the characteristics of each to (...) identify the preferred architecture that does not require a significant consumption of resources and whose data transmission is reliable. A coherent architecture that includes multiple UAVs, wireless sensor networks, cellular networks, GCSs, and satellite network to duplicate communications for enhanced system security has been offered. Some reliability problems have been discussed, the solution of which was suggested to be a backup connection via satellite, i.e., a second connection. This study focused not only on the communication channels but also on the data exchanged between system components, indicating the purpose of their application. Some of the communication problems and shortcomings of various systems, as well as further focus areas and improvement recommendations were discussed. (shrink)

For unmanned aerial vehicle, object detection at different scales is an important component for the visual recognition. Recent advances in convolutional neural networks have demonstrated that attention mechanism remarkably enhances multiscale representation of CNNs. However, most existing multiscale feature representation methods simply employ several attention blocks in the attention mechanism to adaptively recalibrate the feature response, which overlooks the context information at a multiscale level. To solve this problem, a multiscale feature filtering network is proposed in this paper (...) for image recognition system in the UAV. A novel building block, namely, multiscale feature filtering module, is proposed for ResNet-like backbones and it allows feature-selective learning for multiscale context information across multiparallel branches. These branches employ multiple atrous convolutions at different scales, respectively, and further adaptively generate channel-wise feature responses by emphasizing channel-wise dependencies. Experimental results on CIFAR100 and Tiny ImageNet datasets reflect that the MFFNet achieves very competitive results in comparison with previous baseline models. Further ablation experiments verify that the MFFNet can achieve consistent performance gains in image classification and object detection tasks. (shrink)

The formation control issue for a group of underactuated unmanned surface vehicles is discussed in the paper, and a staged finite-time control strategy for the USVs is proposed. Firstly, we try to steer each USV to its own starting point in the formation for a limited time, under the initial condition that each of these vehicles is parked at random. To deal with the nonholonomic behavior of the system, the dynamics of the USV is transformed into cascade systems. Then, (...) the finite-time controller is designed for each vehicle based on homogeneity theory. After each USV reaches its own starting point with desired orientation, the model of the vehicle is decomposed into two subsystems under the Serret-Frenet frame. In order to maintain the formation pattern, two finite-time distributed controllers are developed for the surge subsystem and the yaw subsystem, respectively. The settling time for the staged control strategy is limited. Numerical simulations are carried out to illustrate the effectiveness of the proposed formation control strategy. (shrink)

The quality of service of a user in user-centric unmanned aerial vehicle group is degraded by complex cochannel interference; hence, a cooperative game power control algorithm in UUAVG is proposed. The algorithm helps to establish a downlink power control model of the UUAVG, construct a product of the signal to interference noise ratio function of each user as a utility function of the cooperative game, and deduce the optimal power control scheme using the Lagrange function. This scheme reduces (...) the interference of the service unmanned aerial vehicle to edge users and improves the communication quality of all the users as well as the throughput of the entire system. Simulation results show that the average throughput of the CGPC algorithm improved by 10.32% compared with the traditional Stackelberg Game based Nonunified Pricing Power Control algorithm. This shows that the CGPC algorithm can effectively reduce the transmission power of the cooperative UAV and enhance the capacity of the entire system, ensuring communication quality. (shrink)

The article considers the method of factor cluster analysis which allows automatically retrain the onboard recognition system of an unmanned aerial system. The task of informational synthesis of an on-board system for identifying frames is solved within the information-extreme intellectual technology of data analysis, based on maxi- mizing the informational ability of the system during machine learning. Based on the functional approach to modeling cognitive processes inherent to humans during forming and making classification decisions, it was proposed a categorical (...) model in the form of a direct graph. According to this model, the algorithmic support of the information extreme factor cluster analysis is developed. It allows automatically retrain the system when expanding the alphabet of recognition classes. According to this algorithm, the on-board recognition system preliminarily carries out the information-extremal machine learning of recognition classes of relatively low power. When new classes appear, their unclassified structured recognition attribute vectors form additional learning matrixes. After reaching a representational volume, additional learning matrix joins the input learning matrix and the on-board recognition system is retrained. Forming additional learning matrixes of new recognition classes is carried out by the agglomerative algorithm of cluster analysis of unclassified vectors by k-means clustering. As a criterion of optimizing machine-learning parameters, we used the modified Kullback criterion which is a functional of the exact characteristics of classification solutions. To increase the functional efficiency of factor cluster analysis, it is proposed to increase the depth of machine learning by optimizing the parameters of image processing frames. (shrink)

The prospect of increasingly autonomous military robots has raised concerns about the obfuscation of human responsibility. This papers argues that whether or not and to what extent human actors are and will be considered to be responsible for the behavior of robotic systems is and will be the outcome of ongoing negotiations between the various human actors involved. These negotiations are about what technologies should do and mean, but they are also about how responsibility should be interpreted and how it (...) can be best assigned or ascribed. The notion of responsibility practices, as the paper shows, provides a conceptual tool to examine these negotiations as well as the interplay between technological development and the ascription of responsibility. To illustrate the dynamics of responsibility practices the paper explores how the introduction of unmanned aerial vehicles has led to (re)negotiations about responsibility practices, focusing particularly on negotiations within the US Armed Forces. (shrink)

Arming uninhabited vehicles (UVs) is an increasing trend. Widespread deployment can bring dangers for arms-control agreements and international humanitarian law (IHL). Armed UVs can destabilise the situation between potential opponents. Smaller systems can be used for terrorism. Using a systematic definition existing international regulation of armed UVs in the fields of arms control, export control and transparency measures is reviewed; these partly include armed UVs, but leave large gaps. For preventive arms control a general prohibition of armed UVs would be (...) best. If that is unattainable, several measures should be taken. An explicit prohibition of autonomous attack, that is without a human decision, should be added to IHL. Concerning armed UVs remotely controlled by a human soldier, recommendations differ according to type or mission. New kinds of uninhabited nuclear-weapon carriers should be banned. Space weapons should be prohibited in general. UVs smaller than 0.2–0.5 m should be banned. Bigger remotely controlled armed UVs not equipped with weapons of mass destruction should be subject to numerical limitations in various categories. For these the Treaty on Conventional Armed Forces in Europe is an important precedent. (shrink)

We propose a domain-level ontology of plays for the facilitation of play-based collaborative autonomy among unmanned and manned-unmanned aircraft teams in the Army’s Unmanned Aircraft System (UAS) mission domain. We define a play as a type of plan that prescribes some pattern of intentional acts that are intended to reliably result in some goal in some competitive context, and which specifies one or more roles that are realized by those prescribed intentional acts. The ontology is well suited (...) to be extended to other types of military and nonmilitary unmanned vehicle operations. (shrink)

One of the objectives in the field of artificial intelligence for some decades has been the development of artificial agents capable of coexisting in harmony with people and other systems. The computing research community has made efforts to design artificial agents capable of doing tasks the way people do, tasks requiring cognitive mechanisms such as planning, decision-making, and learning. The application domains of such software agents are evident nowadays. Humans are experiencing the inclusion of artificial agents in their environment as (...) unmanned vehicles, intelligent houses, and humanoid robots capable of caring for people. In this context, research in the field of machine ethics has become more than a hot topic. Machine ethics focuses on developing ethical mechanisms for artificial agents to be capable of engaging in moral behavior. However, there are still crucial challenges in the development of truly Artificial Moral Agents. This paper aims to show the current status of Artificial Moral Agents by analyzing models proposed over the past two decades. As a result of this review, a taxonomy to classify Artificial Moral Agents according to the strategies and criteria used to deal with ethical problems is proposed. The presented review aims to illustrate (1) the complexity of designing and developing ethical mechanisms for this type of agent, and (2) that there is a long way to go (from a technological perspective) before this type of artificial agent can replace human judgment in difficult, surprising or ambiguous moral situations. (shrink)

Information has always been at the core of conflicts. When Napoleon planned to invade Italy, he duly upgraded the first telegraph network in the world, the French “semaphore”. He famously remarked that “an army marches on its stomach,” but he also knew that the same army acted on information. As Von Clausewitz once stated “by the word ‘information’ we denote all the knowledge which we have of the enemy and his country; therefore, in fact, the foundation of all our ideas (...) of actions [in war].”I am very grateful to Mariarosaria Taddeo for this citation and for our fruitful collaboration on a 2-year project about the ethics of information warfare, Marie Curie Fellowship Grant, FP7-PEOPLE-2009-IEF see now . This is why the radar, the computer, the satellite, the GPS system, and the Internet were initially developed as military technologies, while unmanned vehicles are becoming a reality thanks to DARPA. The difference between then and now is that information warfare .. (shrink)

Unmanned Aerial Vehicles, or drones, are increasingly employed for military purposes. They are extolled for improving operational endurance and targeting precision on the one hand and keeping drone crew from harm on the other. In the midst of such praise, what falls by the wayside is an entangled set of concerns about the ways in which the relationship between the pilots and their operational environment is being reconfigured. This paper traces the various manifestations of this reconfiguration and goes on (...) to situate our being-with drones in a broader set of sociotechnical practices that shape our understanding of visual technologies. Our inquiry is grounded in technical reports of performance, media coverage of accidents, as well as a detailed first-person account of a former drone pilot. Our analysis suggests that being-with drones is disciplining our perception in subtle ways that remain underexplored. We conclude that when it comes to appraising technologies that interface with the human sensorium, functionalist claims of enhancement are inadequate to the task and propose that phenomenology’s commitment to the phenomena themselves can serve as a useful corrective. (shrink)

Unmanned Aerial Vehicles, commonly known as “drones,” are a military technology now being developed for civilian and commercial use in the United States. With the federal government moving to develop rules for these uses in U.S. airspace by 2015, technologists, researchers, and news organizations are considering application of drone technology for reporting and data gathering. UAVs offer an inexpensive way to put cameras and sensors in the air to capture images and data but also pose serious concerns about safety, (...) privacy, conflict of interest, perspective, and credibility. This research examines the early ethical considerations among drone journalism developers and digital information activists. It places those considerations against the backdrop of utilitarian ethical theory applied to journalism to suggest additional layers of reasoning that must be applied to drones in reporting. Finally, it suggests articulation of ethical guidelines and transparency with the public as means to address inevitable adverse effects of use of this technology. (shrink)

Unmanned aerial vehicles, particularly quadcopters, have several medical, agriculture, surveillance, and security applications. However, the use of this innovative technology for civilian applications is still very limited in low-income countries due to the high cost, whereas low-cost controllers available in the market are often tuned using the hit and trial approach and are limited for specific applications. This paper addresses this issue and presents a novel proof of concept low-cost quadcopter UAV design approach using a systematic Model-Based Design method (...) for mathematical modeling, simulation, real-time testing, and prototyping. The quadcopter dynamic model is developed, and controllers are designed using Proportional Integral, and Derivative, Pole Placement, and Linear Quadratic Regulator control strategies. The stability of the controllers is also checked using Lyapunov stability analysis. For verification and validation of the design, Software-in-the-Loop, Processor-in-the-Loop, Hardware-in-the-loop testing, and Rapid Control Prototyping have been performed. The V&V methods of the MBD approach showed practically valid results with a stable flight of the quadcopter prototype. The proposed low-cost POC quadcopter design approach can be easily modified to have enhanced features, and quadcopters with different design parameters can be assembled using this approach for a diverse range of applications. (shrink)

ABSTRACTThe growing reliance on Unmanned Aerial Vehicles in armed conflict raises important questions regarding our conception of both war and the warrior’s place within it. This includes the question of whether the degree to which UAVs mitigate physical risk has imperilled the ethical status of the operator. For those that view this tension as resolvable, reference is frequently made to the eventual acceptance of previous categories of “unfair” weaponry. This article engages with this historical context, identifying the role of (...) physical risk within the historical and contemporary warrior ethos. It first outlines that exposure to personal, physical risk has long been regarded as a crucial element in the ethos-based conception of legitimate violence in war. As will be further shown, however, the warrior ethos is an evolving framework, one that increasingly considers factors such as restraint and professionalism in determining ethical status. The adaptive quality of this ethos is a key explanatory fa... (shrink)

Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. (...) Aside from technical challenges of ensuring ethical conduct in artificial intelligence and robotics, there are moral questions about the desirability of replacing human functions and the human mind with such technology. How will artificial intelligence and robotics engage in moral reasoning in order to act ethically? Is there a need for a new set of moral rules? What happens to human interaction when it is mediated by technology? Should such technology be used to end human life? Who bears responsibility for wrongdoing or harmful conduct by artificial intelligence and robotics? -/- Whilst Kant may be familiar to international lawyers for setting restraints on the use of force and rules for perpetual peace, his foundational work on ethics provides an inclusive moral philosophy for assessing ethical conduct of individuals and states and, thus, is relevant to discussions on the use and development of artificial intelligence and robotics. His philosophy is inclusive because it incorporates justifications for morals and legitimate responses to immoral conduct, and applies to all human agents irrespective of whether they are wrongdoers, unlawful combatants, or unjust enemies. Humans are at the centre of rational thinking, action, and norm-creation so that the rationale for restraints on methods and means of warfare, for example, is based on preserving human dignity as well as ensuring conditions for perpetual peace among states. Unlike utilitarian arguments which favour use of autonomous weapons on the basis of cost-benefit reasoning or the potential to save lives, Kantian ethics establish non-consequentialist and deontological rules which are good in themselves to follow and not dependent on expediency or achieving a greater public good. -/- Kantian ethics make two distinct contributions to the debate. First, they provide a human-centric ethical framework whereby human exist- ence and capacity are at the centre of a norm-creating moral philosophy guiding our understanding of moral conduct. Second, the ultimate aim of Kantian ethics is practical philosophy that is relevant and applicable to achieving moral conduct. -/- I will seek to address the moral questions outlined above by exploring how core elements of Kantian ethics relate to use of artificial intelli- gence and robotics in the civilian and military spheres. Section 2 sets out and examines core elements of Kantian ethics: the categorical imperative; autonomy of the will; rational beings and rational thinking capacity; and human dignity and humanity as an end in itself. Sections 3-7 consider how these core elements apply to artificial intelligence and robotics with discussion of fully autonomous and human-machine rule-generating approaches; types of moral reasoning; the difference be- tween ‘human will’ and ‘machine will’; and respecting human dignity. (shrink)

Debates about terrorism and technology often focus on the potential uses of technology by non-state terrorist actors and by states as forms of counterterrorism. Yet, little has been written about how technology shapes how we think about terrorism. In this chapter I argue that technology, and the language we use to talk about technology, constrains and shapes our understanding of the nature, scope, and impact of terrorism, particularly in relation to state terrorism. After exploring the ways in which technology shapes (...) moral thinking, I use two case studies to demonstrate how technology simultaneously hides and enables terroristic forms of state violence: police control technologies and Unmanned Aerial Vehicles (UAVs), or drones. In both these cases, I argue that features of these technologies, combined with a narrative of precision and efficiency, serves to mask the terroristic nature of the violence that these practices inflict and reinforces the moral exclusion of those against whom these technologies are deployed. In conclusion, I propose that identifying acts of terrorism requires a focus on the impact of technologies of violence (whether they are “high tech” or not) on those most affected, regardless of whether users of these technologies conceive of their actions as terroristic. (shrink)

"The Bush administration and Congress are in concert on the goal of developing a fleet of unmanned aircraft that can reduce both defense costs and aircrew losses in combat by taking on at least the most dangerous combat missions. Unmanned combat aerial vehicles (UCAVs) will be neither inexpensive enough to be readily expendable nor-- at least in early development-- capable of performing every combat mission alongside or in lieu of manned sorties. Yet the tremendous potential of such systems (...) is widely recognized, and allies as well as potential adversaries are moving quickly to mount their own research and development programs. The United States is committed to fielding UCAV capabilities by 2010, principally for the missions of suppression of enemy air defense and deep strike, which are among the highest risk tasks for the Air Force and naval aviation."--Overview. (shrink)

This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to implement ethical behaviour in robots, unmanned autonomous vehicles, or software systems. The emphasis is on covering the breadth of ethical theories being considered by implementors, as well as the implementation techniques being used. There is no consensus on which ethical theory is best suited for any particular domain, nor is there any agreement on which technique is best placed to implement a particular theory. Another unresolved (...) problem in these implementations of ethical theories is how to objectively validate the implementations. The paper discusses the dilemmas being used as validating ‘whetstones’ and whether any alternative validation mechanism exists. Finally, it speculates that an intermediate step of creating domain-specific ethics might be a possible stepping stone towards creating machines that exhibit ethical behaviour. (shrink)

Domino's Pizza is testing “Domicopter” drones to deliver pizzas, which will compete with Taco Bell's “Tacocopter” drones. Not to be outdone, Amazon is working on an army of delivery drones that will cut out the postal service. In Denmark, farmers use drones to inspect fields for the appearance of harmful weeds, which reduces herbicide use as the drones directly apply pesticides only where it is needed. Environmentalists send drones into glacial caves or into deep waters, gathering data that would be (...) too dangerous or expensive for human scientists to procure. Federal Express dreams of pilotless aerial and terrestrial drones that will transport goods more cheaply, reliably, and safely than vehicles operated by humans. Human rights activists deploy drones over conflict zones, intelligently searching for and documenting abuses for both rhetorical and legal purposes. Aid agencies send unmanned drones to villages deep in jungles or behind enemy lines, maneuvering hazardous terrain to bring food and supplies to endangered populations. Medical researchers are experimenting with injecting drone blood cells into humans that can mimic good cholesterol carriers or identify and neutralize cancerous cells. Parents in Vermont are using flying drones to accompany children to school, giving a whole new meaning to helicopter parenting. And Pilobolus, a New York dance company, has choreographed a dance in which drones and humans engage each other in the most human of acts: the creation of art. (shrink)

This book assesses the ethical implications of using armed unmanned aerial vehicles in contemporary conflicts. The American way of war is trending away from the heroic and towards the post-heroic, driven by a political preference for air-powered management of strategic risks and the reduction of physical risk to US personnel. The recent use of drones in the War on Terror has demonstrated the power of this technology to transcend time and space, but there has been relatively little debate in (...) the United States and elsewhere over the embrace of what might be regarded as politically desirable and yet morally worrisome: risk-free killing. Arguably, the absence of a relationship of mutual risk between putative combatants poses a fundamental challenge to the status of war as something morally distinguishable from other forms of violence, and it also undermines the professional virtue of the warrior as a courageous risk-taker. This book considers the use of armed drones in the light of ethical principles that are intended to guard against unjust increases in the incidence and lethality of armed conflict. The evidence and arguments presented indicate that, in some respects, the use of armed drones is to be welcomed as an ethically superior mode of warfare. Over time, however, their continued and increased use is likely to generate more challenges than solutions, and perhaps do more harm than good. This book will be of much interest to students of the ethics of war, airpower, counter-terrorism, strategic studies and security studies in general. (shrink)

The proponents of late modern war like to argue that it has become surgical, sensitive and scrupulous, and remotely operated Unmanned Aerial Vehicles or ‘drones’ have become diagnostic instruments in contemporary debates over the conjunction of virtual and ‘virtuous’ war. Advocates for the use of Predators and Reapers in counterinsurgency and counterterrorism campaigns have emphasized their crucial role in providing intelligence, reconnaissance and surveillance, in strengthening the legal armature of targeting, and in conducting precision-strikes. Critics claim that their use (...) reduces late modern war to a video game in which killing becomes casual. Most discussion has focused on the covert campaign waged by CIA-operated drones in Pakistan, but it is also vitally important to interrogate the role of United States Air Force-operated drones in Afghanistan. In doing so, it becomes possible to see that the problem there may not be remoteness and detachment but, rather, the sense of proximity to ground troops inculcated by the video feeds from the aerial platforms. (shrink)

The nature of warfare is changing. Increasingly, developments in military technology are removing soldiers from the battlefield, enabling war to be waged from afar. Bombs can be dropped from unmanned drones flying above the range of retaliation. Missiles can be launched, at minimal cost, from ships 200 miles to sea. Micro Air Vehicles, or 'WASPS', will soon be able to lethally attack enemy soldiers. Though still in the developmental stage, progress is rapidly being made towards autonomous weaponry capable of (...) selecting, pursuing, and destroying targets without the necessity for human instruction. These developments have a profound — and as yet under-analysed — impact on just war theory. I argue that a state under attack from remote weaponry is unable to respond in the traditional, just war sanctioned, method of targeting combatants on the battlefield. This restriction of options potentially creates a situation whereby a state is either coerced into surrender, or it must transgress civilian immunity. Just war theory in conditions of remote warfare therefore either serves the interests of the technologically advanced by demanding the surrender of targeted states, or else it becomes redundant. (shrink)

The article describes the application of the cassette method of passenger transportation, taking into account the dynamics of passenger traffic during the day by means of an intelligent transport system based on unmanned electric vehicles. The calculation of the required number of electric cars for the cassette for a one-time fulfillment of the delivery plan is presented.

In this work, a new intelligent control strategy based on neural networks is proposed to cope with some external disturbances that can affect quadrotor unmanned aerial vehicles dynamics. Specifically, the variation of the system mass during logistic tasks and the influence of the wind are considered. An adaptive neuromass estimator and an adaptive neural disturbance estimator complement the action of a set of PID controllers, stabilizing the UAV and improving the system performance. The control strategy has been extensively tested (...) with different trajectories: linear, helical, circular, and even a lemniscate one. During the experiments, the mass of the UAV is triplicated and winds of 6 and 9 in Beaufort’s scale are introduced. Simulation results show how the online learning of the estimator increases the robustness of the controller, reducing the effects of the changes in the mass and of the wind on the quadrotor. (shrink)

The study considers the problem of ensuring electromagnetic compatibility of EMI-based functional destruction means with other radioelectronic equipment as part of a complex for countering unmanned aerial vehicles. To solve this problem, it is proposed to create a methodology that combines a set of diverse approaches and methods. This study focuses on the use of hollow and thin passive conductors, the use of a magnetodielectric in a reflection symmetric modal filter, the use of reflection symmetric structures for decomposing the (...) train of ultrashort pulses, and the use of a meander line as a protective means against USPs. The main results that are expected to be obtained using the proposed approaches and methods are outlined. (shrink)

The aerial manipulator is a complex system with high coupling and instability. The motion of the robotic arm will affect the self-stabilizing accuracy of the unmanned aerial vehicles. To enhance the stability of the aerial manipulator, a composite controller combining conventional proportion integration differentiation control, fuzzy theory, and neural network algorithm is proposed. By blurring the attitude error signal of UAV as the input of the neural network, the anti-interference ability and stability of UAV is improved. At the same (...) time, a neural network model identifier based on Maxout activation function is built to realize accurate recognition of the controlled model. The simulation results show that, compared with the conventional PID controller, the composite controller combined with fuzzy neural network can improve the anti-interference ability and stability of UAV greatly. (shrink)

Tradition wireless sensor networks transmit data by single or multiple hops. However, some sensor nodes close to a static base station forward data more frequently than others, which results in the problem of energy holes and makes networks fragile. One promising solution is to use a mobile node as a mobile sink, which is especially useful in energy-constrained networks. In these applications, the tour planning of MS is a key to guarantee the network performance. In this paper, a novel strategy (...) is proposed to reduce the latency of mobile data gathering in a WSN while the routing strategies and tour planning of MS are jointly optimized. First, the issue of network coverage is discussed before the appropriate number of clusters being calculated. A dynamic clustering scheme is then developed where a virtual cluster center is defined as the MS sojourn for data collection. Afterwards, a tour planning of MS based on prediction is proposed subject to minimizing the traveling distance to collect data. The proposed method is simulated in a MATLAB platform to show the overall performance of the developed system. Furthermore, the physical tests on a test rig are also carried out where a small WSN based on an unmanned aerial vehicle is developed in our laboratory. The test results validate the feasibility and effectiveness of the method proposed. (shrink)

As a NP-hard problem that needs to be solved in real time, the dynamic task allocation problem of unmanned aerial vehicle swarm has gradually become a difficulty and hotspot in the current planning field. Aiming at the problems of poor real-time performance and low quality of the solution in the dynamic task allocation of heterogeneous UAV swarm in uncertain environment, this paper establishes a dynamic task allocation model that can meet the actual needs and uses the binary wolf (...) pack algorithm to solve it, so as to propose a dynamic task allocation method of heterogeneous UAV swarm in uncertain environment. In this method, a dynamic mechanism of attacking while searching and priority attacking of important targets is designed. A dynamic task allocation model of multitarget, multitask, heterogeneous multiaircraft platform and multiconstraint is established based on the target cost-effectiveness ratio and task execution time window. In addition, one-dimensional 0–1 coding method is adopted to encode the task allocation scheme. Furthermore, the wolf pack algorithm is introduced in brief. This paper focuses on the BWPA with the good computational robustness and strong global search ability to solve the dynamic allocation model. According to the simulation results, the designed task allocation method not only has good adaptability to the change of target and UAV number, as well as good stability and scalability, but also can effectively solve the dynamic task allocation problem of heterogeneous UAV swarm in unknown environment. Therefore, the established model and solution method can provide a useful reference for task allocation and other related problems. (shrink)

This paper argues that today the true source of terror in the economico-biopolitically advanced countries of global capitalism lies in biopower’s own constitution as a normative field (the protection of life) that presupposes its exception (the superfluity of life) as its own precondition. At the two extreme poles of this exception we find “terrorism,” and particularly suicide bombing, and unmanned aerial vehicles (UAVs or drones), as the pair revealing the core of biopower. However, of the two only “terrorism” is (...) discursively constructed in the “West” as a monstrous act that should incite horror. Linking horror to the psychoanalytic concepts of repression and foreclosure, I argue that the biopolitical function of horror lies in rendering unreadable the message of such “monstrous” acts. Furthermore, insofar as horror’s experience is an affective state of being that can, nevertheless, be incited discursively, affect shifts to the center of the political domain. The affect of horror in particular becomes instrumental to politics as it can provide the criterion for determining the bio-racial break between, in Foucault’s words, “what must live and what must die.”. (shrink)

This paper argues that today the true source of terror in the economico-biopolitically advanced countries of global capitalism lies in biopower’s own constitution as a normative field that presupposes its exception as its own precondition. At the two extreme poles of this exception we find “terrorism,” and particularly suicide bombing, and unmanned aerial vehicles, as the pair revealing the core of biopower. However, of the two only “terrorism” is discursively constructed in the “West” as a monstrous act that should (...) incite horror. Linking horror to the psychoanalytic concepts of repression and foreclosure, I argue that the biopolitical function of horror lies in rendering unreadable the message of such “monstrous” acts. Furthermore, insofar as horror’s experience is an affective state of being that can, nevertheless, be incited discursively, affect shifts to the center of the political domain. The affect of horror in particular becomes instrumental to politics as it can provide the criterion for determining the bio-racial break between, in Foucault’s words, “what must live and what must die.”. (shrink)

We describe a novel affect-inspired mechanism to improve the performance of computational systems operating in dynamic environments. In particular, we designed a mechanism that is based on aspects of the fear response in humans to dynamically reallocate operating system-level central processing unit (CPU) resources to processes as they are needed to deal with time-critical events. We evaluated this system in the MINIX® and Linux® operating systems and in three different testing environments (two simulated, one live). We found the affect-based system (...) was not only able to react more rapidly to time-critical events as intended, but since the dynamic processes for handling these events did not need to use significant CPU when they were not in time-critical situations, our simulated unmanned aerial vehicle (UAV) was able to perform even non-emergency tasks at a higher level of efficiency and reactivity than was possible in the standard implementation. (shrink)

Debates over how best to ensure appropriate conduct in battle typically draw a binary distinction between rule compliance and rule violation. This framing is problematic, excluding a critical third element of battlefield conduct, supererogation—that is, positive acts that go beyond what is demanded by the explicit rules of war. This article investigates this moral category of action; specifically, situations in which combatants refrain from taking the life of an enemy despite their moral and legal license to do so. It first (...) considers the moral tension between the duty of combatants to kill and battlefield mercy, and goes on to explore the factors that motivate the latter. The article then shifts to consider the significance of supererogation to the ongoing efforts to moderate the conduct of contemporary war. As the article illustrates, supererogatory restraint is constituted by values that when cultivated also incentivize adherence to the more explicit rules and standards of the battlefield. This is demonstrated through analysis of the conduct of Western special forces. The concept of supererogation is of further use when evaluating the origins and implications of “moral injury.” This is verified empirically in the context of armed unmanned aerial vehicles. (shrink)

A hallmark of the war on terror is the use of unmanned aerial vehicles, commonly known as drones, to kill terrorists abroad. I argue that the justification for targeted killing is based on the same logic as the justification for killing the Naked Soldier in traditional wars. Since many drone strikes are personal strikes—the targeted killing of known individuals—this seems like a more justifiable attack than one against anonymous soldiers. Yet, I propose there are three problems to this analogy (...) that makes killing the Naked Terrorist—one unaware of the danger he is in—worse than killing the Naked Soldier: First, there is the epistemological problem regarding knowing with some certainty that the targets are indeed terrorists. Second, terrorists do not seem to pose a great enough danger for the necessity claim. Lastly, drones may not be as precise as the US claims they are. (shrink)

Researchers have used drones to track wildlife populations, monitor forest fires, map glaciers, and measure air pollution but have only begun to consider how to use these unmanned aerial vehicles to study human beings. The potential use of drones to study public gatherings or other human activities raises novel issues of privacy, confidentiality, and consent, which this article explores in depth. It argues that drone research could fall into several different categories: non-human subjects research, exempt HSR, or non-exempt HSR. (...) In the case of non-exempt HSR, it will be difficult for institutional review boards to approve studies unless they are designed so that informed consent can be waived. Whether drone research is non-HSR, exempt HSR, or non-exempt HSR, it is important for investigators to consult communities which could be affected by the research. (shrink)

In 2009, the United States Air Force aired a series of science fiction-themed recruitment commercials on network television and their official YouTube channel. In these advertisements, the superimposition of science fiction imagery over depictions of Air Force operations frames these missions as near-future sci-fi adventure, ironically summarized by the tagline: “It’s not science fiction. It’s what we do every day.” Focusing on an early advertisement for the Air Force’s Reaper unmanned aerial vehicle, this essay explores how themes essential (...) to the science fiction genre play a role in influencing contemporary attitudes about autonomous and semi-autonomous robotic weapons, as well as the way in which the aesthetic and functional qualities of these advanced technologies are used to frame moral arguments about their use. As a reconfiguration of the near-future battleground in the guise of science fiction, the “Reaper” ad reveals the way in which science fiction has come to serve as a functional-aesthetic benchmark and cultural sounding board, against which “every day” technologies can be measured and claims about their value, ethos, and social appeal are made. This essay explores the ethical entanglements between science fiction film and video games, and military technology, and the complex role science fiction plays in influencing public attitudes towards military technologies. (shrink)

The aim of this article was to discuss the modeling and control method of quadrotor unmanned aerial vehicle. In the process of modeling, mechanism modeling and experimental testing are combined, especially the motor and propeller are modeled in detail. Through the understanding of the body structure and flight principle of the quadrotor UAV, the Newton–Euler method is used to analyze the dynamics of the quadrotor UAV, and the mathematical model of the UAV is established under the small angle (...) rotation. Process identifier is used to control it. First, the attitude angle of the model is controlled by PID, and based on this, the speed in each direction is controlled by PID. Then, the PID control of the four rotor aircraft with the center of gravity offset is simulated by MATLAB. The results show that the pitch angle and roll angle can be controlled by 5 degrees together without center of gravity deviation, and the PID can effectively control the control quantity and achieve the desired effect in a short time. Classical BP algorithm, classical GA-BP algorithm, and improved GA-BP algorithm were trained, respectively, with a total of 150 sets of training data, training function uses Levenberg-Marquardt, and performance function uses mean squared error. In the background of the same noise, the improved GA-BP algorithm has the highest detection rate, classical GA-BP algorithm is the second, and classical BP algorithm is the worst. The simulation results show that the PID control law can effectively control the attitude angle and speed of the rotor UAV in the case of center of gravity deviation. (shrink)