About this Research Topic
The research on autonomous systems powered by artificial intelligence (AI) has witnessed an increasing interest in recent years. The learning-based methods such as supervised/unsupervised learning, deep learning, and reinforcement learning (RL), have made great progress in AI. Recently, the AI algorithm has been used to achieve adaptive autonomous control for autonomous systems in many applications. In the trajectory tracking task for a single autonomous system, the RL is implemented to learn the optimal control policy from the collected system data. In the synchronization task for multiple cooperative autonomous systems, the RL-based algorithm can learn from experience how to interact with other agents in a possibly better way. Another promising task for autonomous systems is the RL-based fault tolerant control for unmanned flight systems. The RL techniques can be used to address the actuator faults in the autonomous systems with completely unknown dynamics. However, the AI and its practical application to autonomous systems remain an open issue. The main objective of this Research Topic is to create a platform for scientists, engineers, and practitioners to present their latest theoretical and technological advancements in the field of AI and autonomous systems.
The focus of this invited session will be on AI and autonomous systems presenting considerable novelties in theoretical background or practical design. The solicited papers should provide original ideas and new approaches, with clear indication of the advances made in problem formulation, methodology, or application.
Topics to be covered include, but are not limited to, the following:
- Advanced artificial intelligence algorithms
- Control strategies for autonomous systems using artificial intelligence algorithms
- Cooperation for autonomous systems using artificial intelligence algorithms
- Fault tolerant control for autonomous systems using artificial intelligence algorithms
- Robustness issues on new developments in autonomous systems
- Multi-agent systems with artificial intelligence algorithms
The focus of this invited session will be on AI and autonomous systems presenting considerable novelties in theoretical background or practical design. The solicited papers should provide original ideas and new approaches, with clear indication of the advances made in problem formulation, methodology, or application.
Topics to be covered include, but are not limited to, the following:
- Advanced artificial intelligence algorithms
- Control strategies for autonomous systems using artificial intelligence algorithms
- Cooperation for autonomous systems using artificial intelligence algorithms
- Fault tolerant control for autonomous systems using artificial intelligence algorithms
- Robustness issues on new developments in autonomous systems
- Multi-agent systems with artificial intelligence algorithms
Keywords: Artificial Intelligence, Autonomous Systems, Reinforcement Learning, Adaptive Control, Consensus
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
