On future development of autonomous systems: A report of the plenary panel at IEEE ICAS'21

Yingxu Wang, Ioannis Pitas, Konstantinos N. Plataniotis, Carlo S. Regazzoni, Brian M. Sadler, Amit Roy-Chowdhury, Ming Hou, Arash Mohammadi, Lucio Marcenaro, Farokh Atashzar, Saif Alzahir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Autonomous Systems (AS) are perceived as the most advanced intelligent systems evolved from those of reflexive, imperative, and adaptive intelligence. A plenary panel on 'Future Development of Autonomous Systems' is organized at the inaugural IEEE ICAS'21. This paper reports the panel discussions about the-state-of-the-art and paradigms of AS, the basic research on theoretical foundations and mathematical means of AS, and challenges to the future development of AS. As an emerging and increasingly demanded field, AS provide an unprecedented approach to contemporary intelligent industries including deep machine learning, highly intelligent robotics, cognitive computers, general AI technologies, and industrial applications enabled by transdisciplinary advances in intelligence science, system science, brain science, cognitive science, robotics, computational intelligence, and intelligent mathematics.

Original languageEnglish (US)
Title of host publicationICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172897
DOIs
StatePublished - Aug 11 2021
Event2021 IEEE International Conference on Autonomous Systems, ICAS 2021 - Virtual, Montreal, Canada
Duration: Aug 11 2021Aug 13 2021

Publication series

NameICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings

Conference

Conference2021 IEEE International Conference on Autonomous Systems, ICAS 2021
Country/TerritoryCanada
CityVirtual, Montreal
Period8/11/218/13/21

Keywords

  • Applications
  • Autonomous systems
  • Challenges
  • Cognitive systems
  • Constraints
  • General AI systems
  • Intelligence systems
  • Machine learning
  • Theoretical foundations

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Optimization

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