TY - GEN
T1 - On future development of autonomous systems
T2 - 2021 IEEE International Conference on Autonomous Systems, ICAS 2021
AU - Wang, Yingxu
AU - Pitas, Ioannis
AU - Plataniotis, Konstantinos N.
AU - Regazzoni, Carlo S.
AU - Sadler, Brian M.
AU - Roy-Chowdhury, Amit
AU - Hou, Ming
AU - Mohammadi, Arash
AU - Marcenaro, Lucio
AU - Atashzar, Farokh
AU - Alzahir, Saif
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/11
Y1 - 2021/8/11
N2 - 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.
AB - 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.
KW - Applications
KW - Autonomous systems
KW - Challenges
KW - Cognitive systems
KW - Constraints
KW - General AI systems
KW - Intelligence systems
KW - Machine learning
KW - Theoretical foundations
UR - http://www.scopus.com/inward/record.url?scp=85117464689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85117464689&partnerID=8YFLogxK
U2 - 10.1109/ICAS49788.2021.9551188
DO - 10.1109/ICAS49788.2021.9551188
M3 - Conference contribution
AN - SCOPUS:85117464689
T3 - ICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings
BT - ICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 August 2021 through 13 August 2021
ER -