AI-Integrated Advanced Robotics Towards Industry 5.0—2nd Edition

Dear Colleagues,

Following the success of the previous Special Issue, ‘AI-Integrated Advanced Robotics Towards Industry 5.0’ (https://www.mdpi.com/journal/machines/special_issues/C977300154), we are pleased to announce the next in the series, ‘AI-Integrated Advanced Robotics Towards Industry 5.0—2nd Edition’.

The utilisation of robotic systems is prevalent in various industries, such as construction, automotive, aerospace, and semiconductors. Advancements in artificial intelligence, such as machine learning, deep learning, and optimisation techniques, have enhanced the operational capabilities of robotic-based manufacturing and assembly systems. The integration of novel concepts, including big data analytics, process mining, collaborative robotics, cyber–physical systems, swarm intelligence, reinforcement learning, and digital transformation, holds the potential to enhance and optimise current production systems. Moreover, these systems can play a crucial role in proactive policy formulation, the evaluation of health and safety, the mitigation of risks, and examinations of the ethical ramifications associated with smart manufacturing systems. Therefore, the primary objective of this Special Issue is to provide a comprehensive compilation of the cutting-edge strategies and emerging trends/technologies within the domain of robotic-integrated smart manufacturing systems. We further aim to examine the various challenges and opportunities that arise from the integration of artificial intelligence into the domain of industrial robotics systems towards realising the concept of Industry 5.0, where robots and smart machines work alongside people to add resilience and sustainability to manufacturing systems.

Topics of interest include, but are not limited to, the following:

• Collaborative robots in smart manufacturing and assembly;
• Simulation and modelling of robotic systems;
• Energy monitoring and optimisation of robotic systems;
• Data-driven cyber–physical robotic manufacturing and assembly;
• Decision-support systems for robotic applications;
• Intelligent robot-enabled material-handling solutions;
• Path planning for automated guided vehicles and mobile robots for shop floor logistics;
• Intelligent and adaptive gripper systems.

Dr. Bugra Alkan
Dr. Malarvizhi Kaniappan Chinnathai
Guest Editors

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