Intelligent Robotics in the Era of Industry 5.0

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 811

Special Issue Editors

College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
Interests: mechanical innovation design method; electromechanical drive and intelligent control; man–machine collaboration and control; motion systems and bionic drives; mechanical metamaterials and applications; exoskeletons and smart wearable systems

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Guest Editor
Department of Mechanical Engineering, Glasgow Caledonian University, Glasgow G4 0BA, UK
Interests: modelling and simulation for digital twins; intelligent maintenance

Special Issue Information

Dear Colleagues,

Industry 5.0 aims to realize fully intelligentized and human-centered manufacturing systems through the convergence of advanced technologies such as artificial intelligence (AI), robotics, Internet of Things (IoT), cloud computing, big data analytics, and cyber-physical systems. This brings new opportunities and challenges for the research and development of intelligent robotics and collaborative systems that can seamlessly interact with humans in highly automated production environments.

This special issue aims to bring together the latest advances in intelligent robotics, human-robot collaboration, and AI-enabled manufacturing systems towards realizing the vision of Industry 5.0. Original research contributions as well as comprehensive review articles are welcomed in areas related to exoskeleton systems, human-robot interface, collaborative robots, intelligent robot control, cyber-physical systems, digital twins, AI-in-the-loop systems etc. We welcome contributions that include, but are not limited to, the following themes:

  • Exoskeleton systems
  • Human-robot interface and interaction
  • Collaborative robots
  • Wheeled-legged robots
  • Industry 4.0/5.0 technologies and applications
  • Applied machine learning and deep learning
  • Computer vision and sensor fusion
  • Data analytics and decision making
  • Robotic, mechatronic and manufacturing automation systems
  • Modeling and control of manufacturing machinery/processes
  • Digital twins and digital thread integration
  • Simulation and emulation of production systems
  • Cloud/edge computing platforms
  • Additive manufacturing
  • Micro/nano-fabrication
  • Machining and forming
  • Materials and processes
  • Sensor integration and industrial internet platforms
  • Wireless embedded intelligent systems
  • Future of industrial workers
  • Human-robot collaboration
  • AR/VR for operators
  • Green processes and assessment
  • Process monitoring and optimization
  • Blockchain for manufacturing
  • Distributed systems and control
  • Ecosystem and platform models

Dr. Ye He
Prof. Dr. Don McGlinchey
Guest Editors

Manuscript Submission Information

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Keywords

  • intelligent robotics and robotics systems
  • artificial intelligence for manufacturing
  • automation and control
  • cyber-physical and digital manufacturing systems
  • advanced manufacturing technologies
  • industrial IoT and networks
  • human aspects
  • sustainable manufacturing
  • emerging topics

Published Papers (1 paper)

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Research

23 pages, 2081 KiB  
Article
Towards a Cognition-Based Framework Describing Interdisciplinary Expert Team Processes for Cognitive Robotics in Industry 5.0 Technologies
by Tina Morgenstern, Anja Klichowicz, Philip Bengler, Marcel Todtermuschke and Franziska Bocklisch
Appl. Sci. 2024, 14(10), 4121; https://doi.org/10.3390/app14104121 - 13 May 2024
Viewed by 499
Abstract
With the evolution of traditional production towards smart manufacturing, humans and machines interact dynamically to handle complex production systems in semi-automated environments when full automation is not possible. To avoid undesirable side effects, and to exploit the full performance potential of experts, it [...] Read more.
With the evolution of traditional production towards smart manufacturing, humans and machines interact dynamically to handle complex production systems in semi-automated environments when full automation is not possible. To avoid undesirable side effects, and to exploit the full performance potential of experts, it is crucial to consider the human perspective when developing new technologies. Specifically, human sub-tasks during machine operation must be described to gain insights into cognitive processes. This research proposes a cognition-based framework by integrating a number of known psychological concepts. The focus is on the description of cognitive (team) processes in the resolution of anomalies within a manufacturing process with interdisciplinary experts working together. An observational eye tracking study with retrospective think-aloud interviews (N = 3) provides empirical evidence for all cognitive processes proposed in the framework, such as regular process monitoring and—in case of a detected anomaly—diagnosis, problem solving, and resolution. Moreover, the role of situation awareness, individual expertise and (cognitive) team processes is analyzed and described. Further, implications regarding a human-centered development of future production systems are discussed. The present research provides a starting point for understanding and supporting cognitive (team) processes during intelligent manufacturing that will dominate the production landscape within Industry 5.0. Full article
(This article belongs to the Special Issue Intelligent Robotics in the Era of Industry 5.0)
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