Advanced Intelligent Machines (AIMach) in Industry 5.0

Dear Colleagues,

In Industry 5.0, machines are evolving from isolated automated tools into intelligent collaborators capable of interacting directly and safely with humans. Advanced mechanisms and robotic systems are increasingly equipped with sensing, learning, and decision-making capabilities, enabling adaptive behavior in dynamic and uncertain environments. Through continuous data acquisition and advanced analytics, these systems support real-time optimization, predictive maintenance, and cooperative task execution. Digitalization connects physical assets to intelligent computational platforms, creating integrated ecosystems in which humans and machines cooperate to enhance productivity, resilience, and sustainability.

This Special Issue aims to provide a rigorous scientific forum for the dissemination of cutting-edge research on intelligent mechanical systems within the context of modern industry. We welcome high-quality contributions addressing theoretical advances, computational methodologies, and experimental validations that deepen the understanding and practical implementation of advanced intelligent machines. Particular emphasis is placed on innovative system architectures, physics-based and data-driven modeling strategies, optimization techniques, and impactful industrial applications.

By fostering interdisciplinary dialog across intelligent machines, robotics, artificial intelligence, and digital manufacturing, this Special Issue seeks to consolidate emerging knowledge and accelerate technological innovation in this rapidly evolving field.

In this Special Issue, original research articles and comprehensive review papers are welcome. Topics of interest include, but are not limited to, the following areas:

• Cyber-physical systems in mechanical engineering;
• Digital twin technologies;
• Machine learning for mechanical systems;
• Smart actuators and intelligent sensors;
• Adaptive and reconfigurable machines;
• Human–robot collaboration;
• Predictive maintenance strategies;
• AI-driven design optimization;
• Intelligent control systems;
• Mechatronic system integration;
• Data-driven modeling of mechanical systems;
• Smart manufacturing systems;
• Sustainable and energy-efficient machines;
• Fault diagnosis and health monitoring;
• Ethics and safety in intelligent mechanical systems.

We look forward to receiving your contributions.

Dr. Roberto Simoni
Dr. Henrique Simas
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Industry 5.0
• intelligent machines
• human–robot collaboration
• digital twin
• cyber-physical systems