The Role and Use of AI and Machine Learning in Robotics and Smart Systems

Dear Colleagues,

Researchers and scientists continue to develop and study the strategy behind creating practical artificial life, discovering new creative approaches and techniques for artificial intelligence and machine learning, and developing innovative smart systems and robotics. These smart systems and robotics can behave reliably within their operational environment and interact with each other and human beings. Furthermore, they can learn from experience, new data from sensors, and newly collected data by other means while making the right decisions at the right time reliably and safely. This Special Issue is essential for researchers, scientists, industrial experts, and engineers who may want to adopt this technology. The Special Issue aims to provide the most up-to-date research, biological inspiration, concepts, theories, computational systems, control techniques, algorithms, technologies, procedures, processes, and applications that exhibit any living system's or human's properties, phenomena, or abilities. This Special Issue also covers enabling technologies supporting the growth of such development.

Recommended Topics (but not limited)

• Generative AI, robotics, and smart systems;
• Machine learning and deep learning: techniques, approaches, and applications for robotics and smart systems;
• Smart systems and robotics: design, architectures, implementation, and challenges;
• Smart systems and robotics: technology, sensing, reasoning and inference, cognition, intelligent control, reconfigurability, autonomy, adaptive behaviors, efficiency, connectivity & networking capabilities;
• Smart systems and robotics: data collection, real-time, reasoning, decision making, predictability, etc.;
• Micro and nano robotics, manufacturing, and smart systems;
• Human–machine interface (HMI);
• Big data, data mining, knowledge representation, data analytics, digital twin;
• Industry 4.0/5.0, cyber-physical systems (CPS), Internet of Things (IoT), and wireless sensor networks (WSNs);
• Emotional intelligence and modeling;
• Evolutionary learning and systems;
• Bioinspiration and innovative design development;
• Sustainability and energy integration with smart systems and robotics ;
• Edge computation, digital & virtual connectivity through clouds;

Smart Systems and Robotics Applications: (not limited to):

• Generative AI and Deep Learning,
• Intelligent Transportation Systems,
• Autonomous Vehicles (sub-function or all system),
• Healthcare and Medical Treatment,
• Manufacturing, Smart Factory, and Automation Automated surveillance systems,
• Smart Buildings, Structures, and Metaverse,
• Environment, Climate, Energy, Ecology.

Prof. Dr. Maki Habib
Prof. Dr. Simon X. Yang
Guest Editors

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