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This paper aims to propose a translation library capable of generating robots proprietary code after their offline programming has been performed in a software application, named AdaptPack Studio, running over a robot simulation and offline programming software package.

The translation library, named AdaptPack Studio Translator, is capable to generate proprietary code for the Asea Brown Boveri, FANUC, Keller und Knappich Augsburg and Yaskawa Motoman robot brands, after their offline programming has been performed in the AdaptPack Studio application.

Simulation and real tests were performed showing an improvement in the creation, operation, modularity and flexibility of new robotic palletizing systems. In particular, it was verified that the time needed to perform these tasks significantly decreased.

The design and setup of robotics palletizing systems are facilitated by an intuitive offline programming system and by a simple export command to the real robot, independent of its brand. In this way, industrial solutions can be developed faster, in this way, making companies more competitive.

The effort to build a robotic palletizing system is reduced by an intuitive offline programming system (AdaptPack Studio) and the capability to export command to the real robot using the AdaptPack Studio Translator. As a result, companies have an increase in competitiveness with a fast design framework. Furthermore, and to the best of the author’s knowledge, there is also no scientific publication formalizing and describing how to build the translators for industrial robot simulation and offline programming software packages, being this a pioneer publication in this area.

This paper aims to describe an information model, the Canonical Robot Command Language (CRCL), which provides a high-level description of robot tasks and associated control and status information.

A common representation of tasks was used that is understood by all of the resources required for the job: robots, tooling, sensors and people.

Using CRCL, a manufacturer can quickly develop robotic applications that meet customer demands for short turnaround, enable portability across a range of vendor equipment and maintain investments in application development through reuse.

Industrial robots can perform motion with sub-millimeter repeatability when programmed using the teach-and-playback method. While effective, this method requires significant up-front time, tying up the robot and a person during the teaching phase.

The purpose of the present article is to highlight the role of Artificial Intelligence (AI) and Robotics in the tourism industry. The various technologies being integrated to improve the service and customer experience in tourism. The expected changes and challenges in tourism in the future are focused in this paper.

A systematic study on the emerging technologies of AI and Robotics applied in the tourism sector is presented in the form of a viewpoint.

AI certainly enhances tourism experiential services however cannot surpass the human touch which is an essential determinant of experiential tourism. AI acts as an effective complementary dimension to the future of tourism. With the emergence of artificial travel intelligence, it is simpler to make travel arrangements. AI offers travel services that are automated, customized and insightful. AI allows travelers to learn about their behaviors, interests to inclinations and provide a personalized experience. Gone are the days to consult a travel agent, meet him physically and indulge in an endless chain of troubling phone calls to inquire about travel arrangements.

Tourism marketing to see a positive and improved change that will enhance the tourists’ overall experience due to the application of AI and Robotics. New emerging technologies like chatbots, virtual reality, language translators, etc. can be effectively applied in Travel, Tourism & Hospitality industry.

The present viewpoint discusses the application and role of AI and Robotics with the help of relevant industry examples and theory. The present paper highlights the different technologies being used and will be used in the future.

The paper illustrates a system for man‐machine interaction in quasi‐natural language. The scope of the interaction is in the description of the sequence of tasks to be executed by an industrial robot for the assembly of mechanical systems.

Off‐line simulation was used to design, test and program robot motion for a new process. This minimised machine downtime and production loss.

The potential and the problems of off‐line robot programming are outlined

Progress in machine building is connected with computer integrated manufacturing (CIM) development. An essential part of CIM is a computer aided design (CAD) system for off‐line creation of manufacturing control programs. Each technological process is characterised by special equipment and operations, which complicate development of CAD off‐line programming systems. More than 90 robot programming systems and languages are now in existence. However, programming all technological aspects into one single CAD system is not possible so far; besides, a teaching method being required, the programs contain many operators, and the database of CAD/CAM is not sufficiently used.

The importance of mobile services in our everyday life is growing while at the same time new interoperability issues arise due to hardware and software heterogeneity. Therefore, new architectural paradigms and models are needed to enhance software engineering methodologies with regard to platform independence and interoperability. This paper describes an UML pattern based approach for developing reconfigurable autonomous mobile services. Through the analysis of an mcommerce project, the relevance of our proposed architecture will be explained. Our focus lays on a generic reconfiguration mechanism based on profile matching from software modules. This profiling part will be further described and discussed. Finally, the applicability of our approach is investigated within a project about reconfigurable indoor navigation computers and a project about robot assisted sensor networks.

This paper aims to contribute to the formulation of a theory of consciousness based only on computational processes. In this manner, sound computational explanations of qualia and the “hard problem” of consciousness are provided in response to a lack of physical, chemical and psychological explanations.

The study analyses the little that can be objectively known about qualia, and proposes a process that imitates the same effects. Then it applies the process to a robot (using a thought experiment) to understand whether this would produce the same sensations as humans experience.

A computational explanation of qualia and the “hard problem” of consciousness is possible through computational processes.

This is a proposal, subject to argumentation and proof. It is a falsifiable theory, meaning that it is possible to test or reject it, as its computational basis allows for a future implementation.

Subjective feeling emerges as an evolutionary by-product when there are no strong evolutionary pressures on the brain. Qualia do not involve magic. These aspects of consciousness in robots and in organisations are capable of being manufactured; one can choose whether to build robots and organisations with qualia and subjective experience.

To the best of the author’s knowledge, no other computational interpretation of these aspects of consciousness exists. However, it is compatible with the multiple draft model of Dennett (1991) and the attention schema theory of Webb and Graziano (2015).