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Closing Editorial: Advances and future directions in autonomous systems for cyber-physical systems and smart industry
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Authors
Advisor(s)
Abstract(s)
The rapid evolution of autonomous systems and their integration into cyber–physical
Systems (CPS) and the Industrial Internet of Things (IIoT) has been a critical driver of
the fourth industrial revolution, also known as Industry 4.0 [1], along with the transition
towards Industry 5.0. These systems enable the real-time monitoring, control, and optimization of industrial processes by combining the power of computational intelligence
with physical machinery. Autonomous systems offer significant potential for improving
efficiency, flexibility, and sustainability in various industrial sectors. However, challenges
remain, including interoperability, real-time data processing, and secure communication
across heterogeneous devices and networks.
Recent advancements in artificial intelligence (AI) [2], edge computing, advanced
cyber security, and industrial automation have opened new avenues for innovation in
CPS and smart industry. These innovations are driving the development of intelligent
decision-making systems capable of self-managing the complexity and scale of modern
industrial environments [3]. This Special Issue focuses on exploring the innovations and
challenges in autonomous systems, aiming to bridge gaps in current knowledge and
foster future research. The contributions to this Special Issue provide a comprehensive
overview of the current state of the field while addressing critical challenges.
Description
As guest editors of the Special Issue “Autonomous Systems in Cyber–Physical
Systems and Smart Industry: Innovations and Challenges”, we would like to express our deep
appreciation to all the authors whose work was published in this issue and thus contributed to
its success.
Keywords
Editorial
Citation
PINTO, R.; TORRES, P.M.B.; LOHWEG, V. (2024) - Closing Editorial: Advances and future directions in autonomous systems for cyber–physical systems and smart industry. Appl. Sci. 14:22, p. 10673. DOI: 10.3390/app142210673