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In the vast majority of the individual robot installations, the robot arm is just one piece of a complex puzzle of components, such as grippers, jigs or external axis, that together compose an industrial robotic cell. The success of such installations is very dependent not only on the selection of such components but also on the layout and design of the final robotic cell, which are the main tasks of the system integrators. Consequently, successful robot installations are often empirical tasks owing to the high number of experimental combinations that could lead to exhaustive and time-consuming testing approaches.

A newly developed optimized technique to deal with automatic planning and design of robotic systems is proposed and tested in this paper.

The application of a genetic-based algorithm achieved optimal results in short time frames and improved the design of robotic work cells. Here, the authors show that a multi-layer optimization approach, which can be validated using a robotic tool, is able to help with the design of robotic systems.

The usage of the proposed approach can be valuable to industrial corporations, as it allows for improved workflows, maximization of available robotic operations and improvement of efficiency.

To date, robotic solutions lack flexibility to cope with the demanding industrial environments. The results presented here formalize a new flexible and modular approach, which can provide optimal solutions throughout the different stages of design and execution control of any work cell.

The growing complexity of industrial robot work‐cells calls for the use of advanced orchestration techniques to promote flexibility and reusability. This paper aims to present a solution based on service‐oriented platforms that endorses the separation of concerns, coordination and execution.

This paper starts with the evaluation of available tools for the orchestration and service generation. Endorsing the missing features depicted in that evaluation, the paper describes developments of concepts and software and the evaluation made.

From the early evaluations made in this paper, the SCXML‐based purposed language is more adapted to the industrial robotic cell scenario than existing alternatives. The generation of services allow the integration without knowledge from any programming language.

This approach's main drawback, as described by some users, was the lack of some programming features: simple math operations and conditional statements.

This paper fulfils two partially unsolved problems: adequate languages for orchestration of service oriented on the device level and purposes techniques for the specification of services using robot programming languages.

The purpose of this paper is to report a collection of developments that enable users to program industrial robots using speech, several device interfaces, force control and code generation techniques.

The reported system is explained in detail and a few practical examples are given that demonstrate its usefulness for small to medium‐sized enterprises (SMEs), where robots and humans need to cooperate to achieve a common goal (coworker scenario). The paper also explores the user interface software adapted for use by non‐experts.

The programming‐by‐demonstration (PbD) system presented proved to be very efficient with the task of programming entirely new features to an industrial robotic system. The system uses a speech interface for user command, and a force‐controlled guiding system for teaching the robot the details about the task being programmed. With only a small set of implemented robot instructions it was fairly easy to teach the robot system a new task, generate the robot code and execute it immediately.

Although a particular robot controller was used, the system is in many aspects general, since the options adopted are mainly based on standards. It can obviously be implemented with other robot controllers without significant changes. In fact, most of the features were ported to run with Motoman robots with success.

It is important to stress that the robot program built in this section was obtained without writing a single line of code, but instead just by moving the robot to the desired positions and adding the required robot instructions using speech. Even the upload task of the obtained module to the robot controller is commanded by speech, along with its execution/termination. Consequently, teaching the robotic system a new feature is accessible for any type of user with only minor training.

This type of PbD systems will constitute a major advantage for SMEs, since most of those companies do not have the necessary engineering resources to make changes or add new functionalities to their robotic manufacturing systems. Even at the system integrator level these systems are very useful for avoiding the need for specific knowledge about all the controllers with which they work: complexity is hidden beyond the speech interfaces and portable interface devices, with specific and user‐friendly APIs making the connection between the programmer and the system.

We propose that off-the-job embeddedness (OTJE) be reconceptualized as a separate and distinct, albeit related, construct from job embeddedness. We conceptualize OTJE as the totality of outside-work forces which keep an individual bound to his/her current geographical area and argue that this construct includes important factors which do not fall under the umbrella of “community embeddedness.” Moreover, we propose that these outside-work forces may embed individuals in their jobs either directly or indirectly (through the perceived or expressed preferences of spouses, children, and extended family). This paper identifies the key components of OJTE, addresses the measurement of OTJE, explains the relationships between job embeddedness and OTJE (and their respective components), highlights how OTJE can either amplify or counteract the effects of job embeddedness, and illustrates the direct and indirect effects of OTJE on both work-related and personal outcomes.

This study aims to examine the relative effects of three organizational brand types (product, employment and corporate social responsibility brands) on organizational attractiveness. The potential differences in the impacts exerted by each brand on organizational attractiveness between the US and Chinese job seekers are also examined.

A policy-capturing design was used among both US and Chinese participants to test the hypothesized relationships using multilevel modeling.

Results suggest that each brand type independently contributes to the prediction of attractiveness, with the employment brand a significantly stronger predictor than the other two. Besides, the strength of relationships between brands and organizational attractiveness varies among job seekers from different national contexts.

The findings contribute to the limited understanding of how different types of brands together influence organizational attractiveness among job seekers, and the role national context plays in it.