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The purpose of this paper is to propose a new algorithm based on programming by demonstration and exception strategies to solve assembly tasks such as peg-in-hole.

Data describing the demonstrated tasks are obtained by kinesthetic guiding. The demonstrated trajectories are transferred to new robot workspaces using three-dimensional (3D) vision. Noise introduced by vision when transferring the task to a new configuration could cause the execution to fail, but such problems are resolved through exception strategies.

This paper demonstrated that the proposed approach combined with exception strategies outperforms traditional approaches for robot-based assembly. Experimental evaluation was carried out on Cranfield Benchmark, which constitutes a standardized assembly task in robotics. This paper also performed statistical evaluation based on experiments carried out on two different robotic platforms.

The developed framework can have an important impact for robot assembly processes, which are among the most important applications of industrial robots. Our future plans involve implementation of our framework in a commercially available robot controller.

This paper proposes a new approach to the robot assembly based on the Learning by Demonstration (LbD) paradigm. The proposed framework enables to quickly program new assembly tasks without the need for detailed analysis of the geometric and dynamic characteristics of workpieces involved in the assembly task. The algorithm provides an effective disturbance rejection, improved stability and increased overall performance. The proposed exception strategies increase the success rate of the algorithm when the task is transferred to new areas of the workspace, where it is necessary to deal with vision noise and altered dynamic characteristics of the task.

The purpose of this paper is to describe a robot vision system which put rings on hooks that are moving freely on a conveyor belt. The hook can show a significant swinging which can be well approximated by a pendulum movement. The problem is of large relevance for many industrial applications and the challenge is to compute a 3D pose that is sufficiently precise to allow for successful placements of the rings.

This requires a fast and precise tracking and a compensation for latencies connected to the processing of visual information as well as the actual robot action.

The authors achieve this through a precise pose estimation in a high‐resolution stereo setup, as well as a modeling of the hook movement as a combination of a translational and a pendulum movement.

The paper shows that under normal conditions close to 100 percent success can be achieved such that this technology now can be transferred into industrial systems.

The purpose of this paper is to describe how the Fraunhofer Institute for Factory Operation and Automation (IFF) has developed the automatic façade‐cleaning robot SIRIUSc for use on the Fraunhofer‐Gesellschaft's headquarters, a high‐rise building in Munich, Germany.

The building has a height of 80 m, its façade an area of 4,000 m². Apart from the robot that moves along and cleans the façade, the complete, fully automated system consists of a fully automated gantry that secures, supplies energy to and, above all, positions the robot. Part of the project involved completely automating a standard gantry, which is an integral part of the complete façade‐cleaning robot system.

This paper presents an overview of the significant basic functions of the robot and the gantry, emphasizing the kinematics, the control and sensor systems for navigation and the cleaning sequence that employs the extensive fully automatic functions of the robot and gantry.

The paper presents the first freely climbing façade‐cleaning robot for vertical façades without rails effectively in use in Europe.

Nowadays, to design the information security mechanism for computing and communication systems, there are various approaches available like cryptographic approach, game-theoretic approach, quantitative–qualitative analysis-based approach, cognitive-behavioral approach, digital forensic-based approach and swarm computing-based approach. The contemporary research in these various fields is independent in nature. The purpose of this paper is to investigate the relationship between these various approaches to information security and cybernetics.

To investigate the relationship between information security mechanisms and cybernetics, Norbert Wiener’s concepts and philosophy of the cybernetics have been used in the present work. For a detailed study, concepts, techniques and philosophy of the cybernetics have been extracted from the books of Norbert Wiener titled “The human use of human beings” and “Cybernetics or control and communication in the animal and the machine”.

By revisiting the concepts of the cybernetics from the information security perspectives, it has been found that the aspects of information security and the aspects of cybernetics have great bonding.

The present paper demonstrates how bonding between cybernetics and information security can be used to solve some of the complex research challenges in information security area.

Aims to investigate the causative factors and clinical applicability of spontaneous regression of malignant tumours without treatment, a really paradoxical phenomenon with many therapeutic potentialities. Analyses past cases to find that the commonest cause is a preceding episode of high fever‐induced thermal fluctuation which produces fluctuation of biochemical/immunological parameters. Using Prigogine‐Glansdorff‐Langevin stability theory and biocybernetic principles, develops the theoretical foundation of a tumour’s self‐control, homeostasis and regression induced by thermal, radiation or oxygenation fluctuations. Derives a threshold condition of perturbations for producing regression. Presents some striking confirmation of such fluctuation‐induced regression in Ewing tumour, Clear cell cancer and Lewis lung carcinoma. Using experimental data on patients, elucidates a novel therapeutic approach of multi‐modal hyper‐fluctuation utilizing radiotherapeutic hyper‐fractionation, temperature and immune‐status.

Childhood sociology as it has evolved from explicit critique of socialization sciences has developed two central concepts: “The child as (competent) actor” and the notion of “generational order.” It is above all the second concept that has not yet been fully dealt with within its sociological context. The term “generational order” is not just supposed to refer to ordered relations between (socially defined) age groups and their members, but also to a social order in general, as it is achieved by the ordered arrangement of age groups. From a historical perspective one can see that those efforts that aim at a disciplined society with small social control expenses do at the latest from the 19th century onwards concentrate on education and a well organized family and thus on a well ordered arrangement of age groups. It is an ordering process towards self-control, towards self-government as the most dense as well as discrete way of government. Until just some years ago such development appeared as an indispensable prerequisite of social order to those sociologists dealing with questions of childhood and growing up – at least as long as they assumed the perspective of socialization theory and sciences. Only the absence or deficiency of such a generational order had any chance to become an important scientific question.

Based on ethnographic data and a textual analysis, this chapter highlights the process of “therapization” of Buddhism in Western countries, with a specific emphasis on Tibetan Buddhism in France. Referring to the paradigm of “political economy of health”, as developed in recent medical anthropology, it attempts to explore the relationships between two concepts – economics and health – that had previously been considered separately, in the context of Western Buddhism. Further, this chapter's aim is to expose a potential application of theoretical economic models in an anthropological approach of Buddhist diffusion and appropriation in the West.

The test procedure for characterizing the tribological behavior of lubricants and materials for the system “piston ring/cylinder liner” outside of engines is now operational and validated. The test parameters presented in this paper (F_N=50 N; v=0.3 m/s, s=24 km) may act only as an indicator and should be used to the tasks regarded. It allows the check prior expensive engine testing, if a tribomaterial, tribocouple or new lubricant will reach a satisfactory engine performance. The introduction of piston ring segments and cylinder liner as specimen into the test rig as well as the volumetric wear determined by means of stylus profilometry represented a big step forward in order to increase the transferability of “tribotests” to engine tests on an acceptable level.

In the last half-century, individual sensory neurons have been bestowed with characteristics of the whole human being, such as behavior and its oft-presumed precursor, consciousness. This anthropomorphization is pervasive in the literature. It is also absurd, given what we know about neurons, and it needs to be abolished. This study aims to first understand how it happened, and hence why it persists.

The peer-reviewed sensory-neurophysiology literature extends to hundreds (perhaps thousands) of papers. Here, more than 90 mainstream papers were scrutinized.

Anthropomorphization arose because single neurons were cast as “observers” who “identify”, “categorize”, “recognize”, “distinguish” or “discriminate” the stimuli, using math-based algorithms that reduce (“decode”) the stimulus-evoked spike trains to the particular stimuli inferred to elicit them. Without “decoding”, there is supposedly no perception. However, “decoding” is both unnecessary and unconfirmed. The neuronal “observer” in fact consists of the laboratory staff and the greater society that supports them. In anthropomorphization, the neuron becomes the collective.

Anthropomorphization underlies the widespread application to neurons Information Theory and Signal Detection Theory, making both approaches incorrect.

A great deal of time, money and effort has been wasted on anthropomorphic Reductionist approaches to understanding perception and consciousness. Those resources should be diverted into more-fruitful approaches.

A long-overdue scrutiny of sensory-neuroscience literature reveals that anthropomorphization, a form of Reductionism that involves the presumption of single-neuron consciousness, has run amok in neuroscience. Consciousness is more likely to be an emergent property of the brain.

For half a century, neuroscientists have used Shannon Information Theory to calculate “information transmitted,” a hypothetical measure of how well neurons “discriminate” amongst stimuli. Neuroscientists’ computations, however, fail to meet even the technical requirements for credibility. Ultimately, the reasons must be conceptual. That conclusion is confirmed here, with crucial implications for neuroscience. The paper aims to discuss these issues.

Shannon Information Theory depends upon a physical model, Shannon’s “general communication system.” Neuroscientists’ interpretation of that model is scrutinized here.

In Shannon’s system, a recipient receives a message composed of symbols. The symbols received, the symbols sent, and their hypothetical occurrence probabilities altogether allow calculation of “information transmitted.” Significantly, Shannon’s system’s “reception” (decoding) side physically mirrors its “transmission” (encoding) side. However, neurons lack the “reception” side; neuroscientists nonetheless insisted that decoding must happen. They turned to Homunculus, an internal humanoid who infers stimuli from neuronal firing. However, Homunculus must contain a Homunculus, and so on ad infinitum – unless it is super-human. But any need for Homunculi, as in “theories of consciousness,” is obviated if consciousness proves to be “emergent.”

Neuroscientists’ “information transmitted” indicates, at best, how well neuroscientists themselves can use neuronal firing to discriminate amongst the stimuli given to the research animal.

A long-overdue examination unmasks a hidden element in neuroscientists’ use of Shannon Information Theory, namely, Homunculus. Almost 50 years’ worth of computations are recognized as irrelevant, mandating fresh approaches to understanding “discriminability.”