Artificial-Intelligence-Based Autonomous Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 5739
Special Issue Editors
Interests: UAS system engineering; UAV flight dynamics modelling & control; UAV flight testing, verification, and validation; resilience and reliability of UAV system; predictive maintenance of UAV system
Interests: commercial machine learning solutions; deep learning
Interests: computer vision; image and video analytics; machine learning; deep learning
Special Issue Information
Dear Colleagues,
The rapid advancement and maturation of artificial intelligence (AI) algorithms and edge computing coupled with multimodal sensing are creating intelligent autonomous systems capable of operating in complex environments with high levels of independence and self-determination. Through AI, these autonomous systems can perceive, learn, reason and act with self-awareness and respond intelligently to unforeseen changes in the environment. The success of these intelligent systems will have the potential to greatly improve the quality of everyone’s daily lives in health care, transportation and workplaces.
This Special Issue focuses on the scientific novelties, practical use cases and best practices of AI-based autonomous systems from both research and industries.
The topics include, but are not limited to, the following:
- AI algorithms for autonomous systems;
- Intelligent cognition for autonomous systems;
- Learning-enabled collaborative and swarm intelligence autonomous systems;
- Robustness issues for AI-enabled autonomous systems.
Dr. Yew Chai Paw
Dr. Soh Donny
Dr. Indriyati Atmosukarto
Dr. Peter Waszecki
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- autonomous systems
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