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The purpose of this paper is to present a flexible automation system for the manipulation of fabrics lying on a work table and focuses on the design of a robot control system based on visual servoing and fuzzy logic for handling flexible sheets lying on a table. The main contribution of this paper is that the developed system tolerates deformations that may appear during robot handling of fabrics due to buckling without the need for fabric rigidization.

The vision system, consisting of two cameras, extracts the features that are necessary for handling the fabric despite possible deformations or occlusion from the robotic arm. An intelligent controller based on visual servoing is implemented enabling the robot to handle a variety of fabrics without the need for a mathematical model or complex mathematical/geometrical computations. To enhance its performance, the conventional fuzzy logic controller is tuned through genetic algorithms and an adaptation mechanism and the respective performance is evaluated. The experiments show that the proposed robotic system is flexible enough to handle various fabrics and robust in handling deformations that may change fabric's shape due to buckling.

The experiments show that the proposed robotic system is flexible enough to handle various fabrics and robust in handling deformations that may change fabric's shape due to buckling.

It is not possible to cover all the aspects of robot handling of flexible materials in this paper, since there are still several related issues requiring solutions. Considering the future research work, the proposed approach can be extended to sew fabrics with curved edges and correcting the distortions presented during robot handling of fabrics.

The paper includes implications for robot handling a variety of fabrics with low and medium bending rigidity on a working table. The intent of this paper deals with buckling in context of achieving a successful seam tracking and not the correction strategy against folding or wrinkling problems.

This paper fulfils an identified need to study the fabrics' behavior towards robot handling on a working table.

Segmenting a marketplace is one of the most important strategic moves that can be made by high‐tech companies, industrial firms, and firms that sell services to other businesses. Yet technical‐based businesses often miss out on opportunities by failing to divide their markets adequately and develop cohesive strategies to conquer and protect a market position.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

Examines the selection and diversification of market segments for robotics products with respect to application areas and customer sectors.

This study attempted to investigate the selection and diversification of market segments by 50 robotics firms in the US with respect to application areas and customer sectors that they serve. Based upon the concept of strategic groups, we classified those robotics firms into three distinct strategic groups along the dimensions of application area diversification and customer sector diversification. The three strategic groups were identified as high, moderate, and low diversification groups, with respect to both application areas and customer sectors.

The results show that robotics firms vary in their selection of application areas and customer sectors, and more importantly in the degree of diversification of application areas and customer sectors. Also, three distinct strategic groups are observed among them, based upon the degree of diversification of application areas and customer sectors.

A few limitations are recognized in this study. First, we used only the dimensions of market segment diversification in classifying the strategic groups in the US robotics industry. Given the important role of technology in the industry, we may consider pairing market dimensions with technology dimensions in exploring any strategic groups in the industry. Second, we only tested for the existence of strategic groups in the industry. We may further consider investigating the factors or reasons for the differences between the strategic groups, as well as any performance differences between the strategic groups. In studying the firm's performance, it is desirable to utilize financial performance measures such as sales growth and profitability. But securing such financial performance measures for individual robotics firms is hampered by the consolidated financial results of diversified firms and the presence of privately held firms in the industry. Third, we used data compiled from a secondary source. We may consider collecting time‐series data directly from robotics firms. These limitations are not certainly exhaustive but rather important ones for future research.

Given the limited studies on robotics firms and their strategy, the results should be of interest to those who formulate product strategy in the robotics market.

The issues of diversification of market segments and the resultant strategic groups that we examined are well worth trying to understand for more viable market strategy in the field. Particularly, the identification of such strategic groups in the industry would help robotics firms evaluate their competitive positions, as well as competitors' approach to the market place.

Additive manufacturing (AM) is a rapidly evolving manufacturing process, which refers to a set of technologies that add materials layer-by-layer to create functional components. AM technologies have received an enormous attention from both academia and industry, and they are being successfully used in various applications, such as rapid prototyping, tooling, direct manufacturing and repair, among others. AM does not necessarily imply building parts, as it also refers to innovation in materials, system and part designs, novel combination of properties and interplay between systems and materials. The most exciting features of AM are related to the development of radically new systems and materials that can be used in advanced products with the aim of reducing costs, manufacturing difficulties, weight, waste and energy consumption. It is essential to develop an advanced production system that assists the user through the process, from the computer-aided design model to functional components. The challenges faced in the research and development and operational phase of producing those parts include requiring the capacity to simulate and observe the building process and, more importantly, being able to introduce the production changes in a real-time fashion. This paper aims to review the role of robotics in various AM technologies to underline its importance, followed by an introduction of a novel and intelligent system for directed energy deposition (DED) technology.

AM presents intrinsic advantages when compared to the conventional processes. Nevertheless, its industrial integration remains as a challenge due to equipment and process complexities. DED technologies are among the most sophisticated concepts that have the potential of transforming the current material processing practices.

The objective of this paper is identifying the fundamental features of an intelligent DED platform, capable of handling the science and operational aspects of the advanced AM applications. Consequently, we introduce and discuss a novel robotic AM system, designed for processing metals and alloys such as aluminium alloys, high-strength steels, stainless steels, titanium alloys, magnesium alloys, nickel-based superalloys and other metallic alloys for various applications. A few demonstrators are presented and briefly discussed, to present the usefulness of the introduced system and underlying concept. The main design objective of the presented intelligent robotic AM system is to implement a design-and-produce strategy. This means that the system should allow the user to focus on the knowledge-based tasks, e.g. the tasks of designing the part, material selection, simulating the deposition process and anticipating the metallurgical properties of the final part, as the rest would be handled automatically.

This paper reviews a few AM technologies, where robotics is a central part of the process, such as vat photopolymerization, material jetting, binder jetting, material extrusion, powder bed fusion, DED and sheet lamination. This paper aims to influence the development of robot-based AM systems for industrial applications such as part production, automotive, medical, aerospace and defence sectors.

The presented intelligent system is an original development that is designed and built by the co-authors J. Norberto Pires, Amin S. Azar and Trayana Tankova.

For several years, competition within the resistor network industry has greatly increased sizeable increases in demand. To remain competitive and a leader in the field, CTS Corporation has chosen to initiate constantly new technologies for automation. To improve overall costs, automation must take place in the area of support personnel such as clerks, engineers, management and technicians as well as with the direct production workers. It is also believed that automation should take place under a well formulated planning system. Some of the techniques being implemented at CTS of Berne to accomplish this come under discussion. First, the capability of the process should be proven. Dealt with briefly are ways in which this is accomplished and the important role it plays in the fore‐running steps of automating. Before an automation project is undertaken, the payback to the company must be assured. The steps taken to accomplish this, starting with determining the variance in output rates (not cycle rates), yield and/or quality improvements, acquiring quotations, establishing total costs, and finally computing the ROI and payback factors are all reviewed. CTS Corporation has graduated from high labour intensified manual operations to semi and fully automatic ones. Some of the techniques used to effect this transition such as bowl and vibratory feeders, walking beams, and pick‐and‐place units, are discussed. Also portrayed is the way in which a constant improvement in the automation of the process and material handling is being undertaken at CTS. Among the new generation developments are: Multiple handling of parts via tubes, magazines, and pallets; robotics; automatic 100% visual inspection, and computer and microprocessor controlled processes.

Many people feel the automated guided vehicle business is about to take off in the way that robotics did some years ago. John Mortimer reports

Examines the thirteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.