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 K. Roy–Chowdhury, Ming Hou, Arash Mohammadi, Lucio Marcenaro, S. Farokh Atashzar, Saif alZahir · 2021
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.