Announcements

Announcement: Call for Papers - Special Issue on "Advances in Intelligent Robotics"

Advances in Intelligent Information Systems is pleased to announce a call for papers for a special issue on "Advances in Intelligent Robotics." The special issue aims to explore the latest advancements, methodologies, and applications in the field of intelligent robotics, highlighting the intersection of artificial intelligence, machine learning, and robotics.

We invite researchers, academicians, and professionals from around the world to submit their original research articles, reviews, or short communications related to the theme of intelligent robotics. Topics of interest include, but are not limited to:

  1. Intelligent robot perception and sensing.
  2. Machine learning and deep learning algorithms for robotics.
  3. Human-robot interaction and collaboration.
  4. Autonomous and semi-autonomous robotic systems.
  5. Swarm robotics and collective intelligence.
  6. Robot planning, navigation, and control.
  7. Robotic vision and image processing.
  8. Robot learning from demonstration and reinforcement learning.
  9. Cognitive architectures for robotic systems.
  10. Ethical considerations in intelligent robotics.

Submission Guidelines: Manuscripts should be prepared according to the journal's guidelines, which can be found on our website. All submissions will undergo a rigorous peer-review process, ensuring the highest quality standards and unbiased evaluation. Please indicate in your submission that you are targeting the special issue on "Advances in Intelligent Robotics."

Important Dates:

  • Submission Deadline: August 31, 2023
  • Notification of Acceptance: October 31, 2023
  • Final Manuscript Due: November 30, 2023
  • Expected Publication: Early 2024

This special issue provides an excellent opportunity to showcase your research and contribute to the advancement of intelligent robotics. Accepted papers will be published in the special issue of Advances in Intelligent Information Systems and will receive wide visibility and recognition within the research community.