Pushing Boundaries: Innovations in Robotics, Artificial Intelligence, and Extended Reality

Dear Colleagues,

The proposed Special Issue, entitled “Pushing Boundaries: Innovations in Robotics, Artificial Intelligence, and Extended Reality”, aims to delve into the cutting-edge advancements and transformative applications within these domains. Robotics has undergone a significant evolution, leading to smarter, adaptive systems that surpass conventional functionalities. Concurrently, the integration of Artificial Intelligence has revolutionized the perception, learning, and interaction of machines with their environments. Additionally, Extended Reality technologies, including Virtual Reality (VR) and Augmented Reality (AR), have redefined human–machine interaction, enabling immersive, multisensory experiences.

This compilation of research articles and contributions aims to explore the convergence of Robotics, AI, and Extended Reality. It intends to unveil breakthroughs in autonomous systems, cognitive computing, human–robot collaboration, and immersive environments. This Special Issue aims to elucidate the novel methodologies, applications, and future trajectories propelling these fields toward unprecedented frontiers.

The aim of this Special Issue is to provide a comprehensive overview of this expansive field of research, appealing to a diverse audience in robotics, artificial intelligence, control systems, extended reality, data analytics, and societal, industrial, and educational domains. Hence, we welcome submissions exploring various topics, including but not limited to the following:

• Artificial Intelligence: Advancements, methodologies, and applications in AI.
• Robotic Systems in Stochastic Production Environments: Study of robotic systems operating in unpredictable manufacturing conditions.
• Human–Robot Interaction: Examination of interactions between humans and robots, exploring collaboration and usability.
• Real-time (or near) Execution of Digital Twins: Utilization of real-time digital replicas for predictive analytics and optimization.
• Collaborative Robotic Systems Implementation: Implementing systems where robots work alongside humans effectively.
• Integration of Simulation with Virtual, Mixed, and Augmented Reality Applications: Merging simulation techniques with immersive reality applications.
• Real-time Virtual, Mixed, and Augmented Reality in Industrial Manufacturing: Application of real-time immersive technologies in industrial settings.
• Artificial Intelligence for Decision Support in Production and Logistics: AI-driven decision-making aids in manufacturing and supply chain logistics.
• Verification and Validation of Digital Twins: Processes ensuring the accuracy and reliability of digital models.
• Robot Feedback Control: Mechanisms and techniques for robot control and responsiveness.
• Metaverses: Exploration and implications of metaverse technologies in these domains.

Prof. Dr. Juan Ernesto Solanes Galbis
Prof. Dr. Luis Gracia
Guest Editors

Manuscript Submission Information

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