Artificial Intelligence for Robotics and Autonomous Systems
Book Editors
Prof. Ahmad Taher Azar, PhD, IEEE senior Member, ISA Member, IFAC member
College of Computer and Information Sciences, Prince Sultan University, Saudi Arabia and Faculty of Computers and Artificial Intelligence, Benha University, Egypt
Prof. Anis Koubaa
College of Computer and Information Sciences, Prince Sultan University, Saudi Arabia
Motivation
Objectives of the Book
- To collect original papers and reviews that show various applications in the field of robotics combined with Artificial Intelligence (AI).
- To display innovative applications of robotics and AI and advances in machine learning and computational intelligence technology in various contexts.
- Development and critical assessment of data analysis techniques using such approaches is encouraged to provide a coherent and holistic approach to ion conservation using technology and analytics.
- This book should be a useful point of reference for both novices and specialists in robotics with regard to applied AI.
Topics
Suggested topics include (but are not limited to) the following methods:
- Autonomous vehicle interaction
- Advanced sensor systems for robotics and autonomous vehicles
- Machine learning applications for Robotic
- Monitoring and control of robotics
- Robotic Computer vision
- Robotic Control systems
- Computational intelligence for robotics
- Robotic Deep learning
- Robotic Deep Reinforcement Learning.
- Robotic Evolutionary computing
- Navigation and Path Planning
- Sensor Fusion
- Security for autonomous vehicle
Tentative Chapters
Tentative Outline
- To collect original papers and reviews that show various applications in the field of robotics combined with Artificial Intelligence (AI).
- To display innovative applications of robotics and AI and advances in machine learning and computational intelligence technology in various contexts.
- Development and critical assessment of data analysis techniques using such approaches is encouraged to provide a coherent and holistic approach to ion conservation using technology and analytics.
- This book should be a useful point of reference for both novices and specialists in robotics with regard to applied AI.
Important Information
This book is expected to be published by the beginning of 2023 by Springer. It will appear under the Studies in Computational Intelligence Series. For additional information and guidelines regarding the publisher, please visit www.springer.comRegarding Indexing, the book will be indexed by Scopus and will be submitted for indexing to ISI Books, and DBLP.
Submission Guidelines
Researchers and practitioners are invited to submit one page before December 15, 2021, includes author names, affiliations, and chapter abstract.
This helps as a registration of the chapter for the final submission. Submission of abstracts and final chapters will be through EasyChair to be collected easily by Springer. Authors of accepted proposals will be notified about the status of their proposals and sent chapter guidelines. Full chapters must be submitted by March 31, 2022, through the EasyChair system The Chapter should not exceed 25 pages with respect to Springer format excluding references. All submitted chapters will be reviewed on a single-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Important Dates
- April 20, 2022 One-page chapter Proposal submission: Tentative title, Author names with affiliation, and chapter abstract
- June 30, 2022 Submission of full chapter
- July 30, 2022 First Round Chapter Acceptance Notification
- August 31, 2022 Submission of revised chapters
- September 15, 2022 Final Round Acceptance Notification of Revised Chapters
