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

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 989

Special Issue Editors


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Guest Editor
Instituto de Diseño y Fabricación, Universitat Politècnica de València, 46022 Valencia, Spain
Interests: virtual reality; augmented reality; robotics; control and automation; human–machine interaction
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Special Issue Information

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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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

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.

Keywords

  • robotics, robots
  • collaborative robots
  • mobile robots
  • medical robots
  • social robots
  • feedback control
  • digital twins
  • artificial intelligence
  • machine learning
  • extended reality
  • virtual reality
  • augmented reality
  • metaverse
  • education
  • museum
  • computer science

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Published Papers (1 paper)

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Research

30 pages, 12969 KiB  
Article
Visual Servoing and Kalman Filter Applied to Parallel Manipulator 3-RRR
by Gian C. Daraviña, Jorge L. Valencia, German A. Holguin, Héctor F. Quintero, Edwan Anderson Ariza and Diego Vergara
Electronics 2024, 13(14), 2703; https://doi.org/10.3390/electronics13142703 - 10 Jul 2024
Viewed by 670
Abstract
This study introduces a novel methodology integrating computer vision, visual servo control, and the Kalman Filter to precisely estimate object locations for a 3-RRR planar type parallel manipulator. Through kinematic analysis and the development of a vision system using color indicators, the research [...] Read more.
This study introduces a novel methodology integrating computer vision, visual servo control, and the Kalman Filter to precisely estimate object locations for a 3-RRR planar type parallel manipulator. Through kinematic analysis and the development of a vision system using color indicators, the research enhances the ability of the manipulator to track object trajectories, especially in cases of occlusion. Employing Eye-to-Hand visual servo control, the research further refines the visual orientation of the sensor for optimal end effector and object identification. The incorporation of the Kalman Filter as a robust estimator for occluded objects underscores the predictive accuracy of the system. Results demonstrate the effectiveness of the methodology in trajectory generation and object tracking, with potential implications for improving robotic manipulators in dynamic environments. This comprehensive approach not only advances the fields of kinematic control and visual servoing but also opens new avenues for future research in complex spatial manipulations. Full article
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