2,513 research outputs found

    AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing

    No full text
    Human–robot cooperation aims to increase the flexibilization of manufacturing systems. This requires safe human–machine interaction (e.g. with collaborative robots) as well as self and environment awareness capabilities to interact autonomously and smartly between humans and machines. Therefore, the goal of this chapter is to conceptualize and identify the set of real-time information processing and decision-making capabilities required for collaborative robots to be considered as a safe companion in the context of human–robot cooperation (HRC). In particular, the chapter provides an overview of appropriate artificial intelligence (AI) and machine learning (ML) concepts, formally introduces the concept of a safety-aware cyber-physical system and defines a general taxonomy for the perceptive and cognitive problems arising in the context of intelligent and flexible HRC

    Application of Axiomatic Design for the Design of a Safe Collaborative Human-Robot Assembly Workplace

    No full text
    In the context of the Industry 4.0 wave, which is currently making its way into production engineering research, human robot collaboration is also a very important topic. With new technologies and ever more intelligent control systems for machines and robots, the cooperation between human and machine has become easier. In the smart factory of the future, robots are working hand in hand with people and support them, when their assistance is needed. However, the implementation of such collaborative human-robot workplaces is not so easy in practice. The design of collaborative workplaces also presents completely new challenges in terms of safety of the worker. Such a complex problem requires a systematic and structured approach for concept design, in order to avoid loops in the design stage or even worse during implementation. The research team therefore uses a laboratory case study to show how Axiomatic Design can be used as a method to design collaborative human-robot workstations. First, functional requirements for such workplaces are defined. Based on the functional requirements, the design parameters are derived by using the Axiomatic Design mapping and decomposition process. The result is a concept study for a collaborative workplace in the laboratory environment based on Axiomatic Design

    Requirements for the Design of flexible and changeable manufacturing and Assembly Systems: a SME-survey

    No full text
    Increasingly complex market dynamics due to unpredictable forecasts and shorter innovation cycles require maximum flexibility from production companies and their manufacturing systems. A manufacturing system should not only produce high-quality products at the lowest possible price; it should also be able to react quickly to market changes and consumers preferences. After the implementation in large enterprises belonging to the automotive sector and other related sectors, the concept of flexibility and changeability has been introduced in small and medium-sized enterprises (SME). In recent years, the concept of flexibility and changeability was object of research and industry. Current research in manufacturing pays great attention to flexibility and changeability in manufacturing and assembly systems. Therefore, research and investigations are needed to analyze the requirements for the design of flexible and changeable manufacturing and assembly systems in SMEs in order to define simple and practically suitable design guidelines. This research analyzes the nature of environmental changes, which SMEs are currently facing, due to a questionnaire-based survey. This research paper summarizes the results of the survey, executed with 27 SME companies in North Italy, showing the main requirements for the design of flexible and changeable manufacturing and assembly systems
    corecore