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This paper aims to provide a European perspective on the collaborative robot business and to consider the factors governing future market development.

Following an introduction, this first describes the collaborative robots launched recently by European manufacturers and their applications. It then discusses major European research activities and finally considers the factors stimulating the market.

This article shows that collaborative robots are being commercialised by the major European robot manufacturers as well as by several smaller specialists. Although most have low payload capacities they are inexpensive and offer a number of operational benefits, making them well suited to a range of existing and emerging applications. Europe has a strong research base and several EU-funded programmes aim to stimulate collaborative robot development and use. Rapid market development is anticipated, driven in the main by applications in electronic product manufacture and assembly; new applications in the automotive industry; uses by small to medium-sized manufacturers; and companies seeking robots to support agile production methods.

This paper provides a timely review of the rapidly developing European collaborative robot industry.

This paper aims to introduce a simple hand-eye calibration method that can be easily applied with different objective functions.

The hand-eye calibration is solved by using the closed form absolute orientation equations. Instead of processing all samples together, the proposed method goes through all minimal solution sets. Final result is chosen after evaluating the solution set for arbitrary objectives. In this stage, outliers can be excluded optionally if more accuracy is desired.

The proposed method is very flexible and gives more accurate and convenient results than the existing solutions. The mathematical error expression defined by the calibration equations may not be valid in practice, where especially systematic distortions are present. It is shown in the simulations that the solution which results the least mathematical error in systems may have incorrect, incompatible results in the presence of practical demands.

The performance of the calibration performed with the proposed method is compared with the reference methods in the literature. When the back-projection error is benchmarked, which corresponds to the point repeatability, the proposed approach is considered as the most successful method among all others. Due to its robustness, it is decided to make tooling-sensor calibrations by the recommended method, in the robotic non-destructive testing station in Ford-OTOSAN Kocaeli Plant Body Shop Department.

Arranging the well-known AX = XB calibration equation in quaternion representation as Q_A = Q_x × Q_B × Q_x reveals another common spatial rotation equation. In this way, absolute orientation solution satisfies the hand-eye calibration equations. The proposed solution is not presented in the literature as a standalone hand-eye calibration method, although some researchers drop a hint to the relative formulations.

The aim of this chapter is to consider the importance of the Chicago School in urban sociology today, both theoretically and methodologically. I will start by showing some indicators and reflections on its importance in American urban sociology. I will then focus on how this heritage has been used and adapted in Italy. In particular, I will present some theoretical and empirical studies implemented in the Bologna metropolitan area by a group of sociologists who, in the Italian context are probably using the Chicago School tools to study urban change and urban problems most explicitly. My contribution is based on bibliographic research carried out both in Italy and in the United States, as well as on some interviews conducted with American urban sociologists. The main findings show the persistent importance of several key elements of the Chicago School, both in Italy and in the United States: the general theoretical approach (space and place affect people), some specific concepts (community, neighborhood, and natural area), and methodology (combination of qualitative and quantitative tools).

The purpose of this study is to design a robotic inline measurement system for spot welding quality control to achieve process requirement without any operator during the manufacturing flow.

A robot manipulator carries a stereo-camera and an ultrasonic control probe. The center position of the spot welding point is determined by evaluating the results of the edge, gradient and symmetry approaches from the methods proposed up to now in the literature to increase reliability. The center position of the spot welding point, determined in the camera reference plane, is transferred to the robot base plane coordinates with the hand–eye calibration proposed in this manuscript. Weld quality is checked by the ultrasonic test probe located at the spot welding point.

While operators can only control welding quality, the developed station can also evaluate the quality based on geometric accuracy by processing the deviation of the position of the spot welding points. The proposed calibration method and the results of other methods in the literature are presented in this study by comparing it with synthetic data in simulations and in practical application.

The quality control is performed not only for the spot welding made with robots but also for the manual welds as well. Because of vision configuration, and reliability issues, maximum allowable offset by the correct spot position is limited to 20 mm to position the manipulator for testing. The installation and pretest works of the developed robotic welding quality control station are completed in the Body Shop Area of Ford Otosan factory in Kocaeli/Turkey. The results of the robotic control process are monitored by the quality assurance team. Integration of automation with the production line will be completed and an inline measurement will be done.

In this paper, a new hand–eye calibration method based on simple and closed-form analytical solutions has been presented. The objective function is defined as reducing the deviation in the point projection, rather than reducing the error in the calibration equation. To increase reliability, combining the results of existing centering algorithms for the detection of the strongly deformed spot welding spot center, although it is normally in a circular form, has been suggested.

The purpose of this paper is to describe recent fruit picking robot developments with an emphasis on corporate activity rather than academic research. It also aims to provide a view on the commercial prospects for these developments.

Following a short introduction, this first discusses strawberry and other soft fruit picking robot developments conducted principally by commercial organisations. It then provides similar details of robots for harvesting apples and other hard fruits. This is followed by a discussion and concluding comments.

The shortage of seasonal fruit pickers has stimulated the need for automation. Accordingly, a growing community of companies, many founded in the past five years, are developing fruit picking robots. These are aimed at both soft and hard fruits, such as strawberries and apples, respectively, and exploit advanced vision systems, image processing techniques and AI. Some products are already on the market, whereas many more are due for commercial release during the next two years into what is expected to be a highly competitive market.

This provides details of the emerging fruit picking robot business by describing the products and manufacturing companies.

The management of children′s literature is a search for value and suitability. Effective policies in library and educational work are based firmly on knowledge of materials, and on the bibliographical and critical frame within which the materials appear and might best be selected. Boundaries, like those between quality and popular books, and between children′s and adult materials, present important challenges for selection, and implicit in this process are professional acumen and judgement. Yet also there are attitudes and systems of values, which can powerfully influence selection on grounds of morality and good taste. To guard against undue subjectivity, the knowledge frame should acknowledge the relevance of social and experiential context for all reading materials, how readers think as well as how they read, and what explicit and implicit agendas the authors have. The good professional takes all these factors on board.

Law and Film both enjoy the power to mediate the social imaginary. Here, we explore the resonance of this insight in the register of affect and intensity, movement, and change. This demands a different approach to doing theory. As Andrew (1976, pp. 66–67) argues, ‘film is not a product but an organically unfolding creative process in which the audience participates both emotionally and intellectually.’ Seeing a film is not just an exercise in imagining alternatives; it is an unfolding experience in time. It is an event shaded with particular embodied dimensions: one's heart races, pupils contract, skin shivers, muscles tense. Involuntary sensations of nausea or vertigo combine with cognitive responses to produce the lived experience of viewing a particular film that is incorporated into one's sensibility, sometimes very powerfully. It is not just that the mind has spent time in a darkened theatre. The body has also had an affect-laden auditory, visual, and tactile encounter. The affect-rooted experience of the film is a piece of the subject's past, its history, its self. This is another way to understand how film not only represents the world, but participates in its making.

Industrial robots are extensively deployed to perform repetitive and simple tasks at high speed to reduce production time and improve productivity. In most cases, a compliant gripper is used for assembly tasks such as peg-in-hole assembly. A compliant mechanism in the gripper introduces flexibility that may cause oscillation in the grasped object. Such a flexible gripper–object system can be considered as an under-actuated object held by the gripper and the oscillations can be attributed to transient disturbance of the robot itself. The commercially available robots do not have a control mechanism to reduce such induced vibration. Thus, this paper aims to propose a contactless vision-based approach for vibration suppression which uses a predictive vibrational amplitude error-based second-stage controller.

The proposed predictive vibrational amplitude error-based second-stage controller is a real-time vibration control strategy that uses predicted error to estimate the second-stage controller output. Based on controller output, input trajectories were estimated for the internal controller of the robot. The control strategy efficiently handles the system delay to execute the control input trajectories when the oscillating object is at an extreme position.

The present controller works along with the internal controller of the robot without any interruption to suppress the residual vibration of the object. To demonstrate the robustness of the proposed controller, experimental implementation on Asea Brown Boveri make industrial robot (IRB) 1410 robot with a low frame rate camera has been carried out. In this experiment, two objects have been considered that have a low (<2.38 Hz) and high (>2.38 Hz) natural frequency. The proposed controller can suppress 95% of vibration amplitude in less than 3 s and reduce the stability time by 90% for a peg-in-hole assembly task.

The present vibration control strategy uses a camera with a low frame rate (25 fps) and the delays are handled intelligently to favour suppression of high-frequency vibration. The mathematical model and the second-stage controller implemented suppress vibration without modifying the robot dynamical model and the internal controller.

Building on previous work, concerned with analysis of pre‐treatment apology letters of men who have offended against children, the current research focuses on post‐treatment apology letters of the same group of men.

A total of 26 post‐treatment apology letters of men who attended a community‐based introductory sex offender treatment programme were analysed using interpretative phenomenological analysis (IPA) to explore how the men conceptualise and understand themselves, their behaviour and their victims after treatment.

The data suggest that the men express themselves in terms of need, however, primarily this is in terms of pro‐social needs, such as a need for forgiveness, rather than in terms of criminogenic need. The one theme identifiable as a criminogenic need is concerned with sexual needs and very little detail is provided that might explain if the need is not otherwise being met; if there is a sexual preference for children, etc. Thus, from these data, it is not possible to identify a specific target need for treatment related to sexual behaviour.

The results raise the question as to whether criminogenic need is the correct level of analysis for thinking about sexual offending and if treatment programmes that use the language of criminogenic need are an appropriate conceptual fit. The identification of pro‐social needs suggests that interventions may need to include work on what Ward and colleagues have referred to as “personal strivings” in order to have a greater impact on victim empathy.

A rapid increase in global smartphone ownership and digital health technologies offers the potential for mobile phone applications (apps) to deliver mental health interventions. The purpose of this paper is to bring together evidence reporting on mental health mobile apps to gain an understanding of the quality of current evidence, the positive and adverse effects of apps and the mechanisms underlying such effects.

A systematic search was carried out across six databases, for any systematic reviews or meta-analyses conducted up to 2020. Review quality was assessed using the Assessment of Multiple Systematic Reviews.

Across a total of 24 articles, a variety of clinical outcomes were assessed. Most compelling support was shown for apps targeting anxiety symptoms; some evidence favoured the use of apps for depression symptoms. Less evidence was available for the remaining clinical symptoms such as bipolar disorder, schizophrenia, post-traumatic stress disorder, sleep disorders and substance use. Overall, there was limited evidence pertaining to adverse effects and change mechanisms and a lack of quality reporting across a large proportion of included reviews. The included reviews demonstrate the need for further robust research before apps are recommended clinically.

This paper makes a valuable contribution to the current status of research and reviews investigating mental health mobile apps. Recommendations are made for improved adherence to review guidelines and to ensure risk of bias is minimised.