Multi-robot systems play a crucial role in human life due to their diverse functionalities, high flexibility and strong scalability. Nevertheless, as intelligent transformation advances, robots operating in typical, structured environments are no longer adequate to meet the complex, dynamic and ever-changing application demands. In unstructured environments, robots must possess the ability to learn autonomously and communicate with each other. Therefore, addressing how to enhance robot skill learning and swarm evolution capabilities is an urgent and important issue that requires discussion.
The objective of this Research Topic is to compile the latest studies on the autonomous operation of robots in unstructured environments. This compilation aims to enhance the application and deployment of autonomous robots in future fields such as industrial, medical, agricultural, etc. On one hand, the rapid development of artificial intelligence technologies (e.g. reinforcement learning and transfer learning) has significantly advanced the autonomous perception and learning capabilities of robots. On the other hand, the further evolution of learning and swarm intelligence models has successfully enabled the application of interaction between groups of robots in various fields. These technologies promote the development of individual robots and also help expand the potential applications of intelligent swarm robots.
This Research Topic aims to demonstrate the latest technical developments in individual behavior and swarm intelligence from the perspective of intelligent robots. We welcome innovative contributions of original research articles, review articles, opinion papers, papers on perspectives and on novel methods of robots behavior evolution.
Contributions include, but are not limited to, the following:
1. Environmental perception of individual or swarm robots
2. Object detection for robots in unstructured environment
3. Knowledge and memory of robots
4. Autonomous planning of robots
5. Robot skill learning in unstructured environment
6. Intelligent behavior of swarm robots
7. Swarm robots interaction
8. Self-decision-making of swarm robots
9. Skill allocation and reconstruction in human-robot collaboration
Keywords:
Robotics, Unstructured Environments, Environmental perception, Autonomous learning, Individual skills of robots, Swarm intelligence, Swarm Evolution, Self-organization and self-decision
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.
Multi-robot systems play a crucial role in human life due to their diverse functionalities, high flexibility and strong scalability. Nevertheless, as intelligent transformation advances, robots operating in typical, structured environments are no longer adequate to meet the complex, dynamic and ever-changing application demands. In unstructured environments, robots must possess the ability to learn autonomously and communicate with each other. Therefore, addressing how to enhance robot skill learning and swarm evolution capabilities is an urgent and important issue that requires discussion.
The objective of this Research Topic is to compile the latest studies on the autonomous operation of robots in unstructured environments. This compilation aims to enhance the application and deployment of autonomous robots in future fields such as industrial, medical, agricultural, etc. On one hand, the rapid development of artificial intelligence technologies (e.g. reinforcement learning and transfer learning) has significantly advanced the autonomous perception and learning capabilities of robots. On the other hand, the further evolution of learning and swarm intelligence models has successfully enabled the application of interaction between groups of robots in various fields. These technologies promote the development of individual robots and also help expand the potential applications of intelligent swarm robots.
This Research Topic aims to demonstrate the latest technical developments in individual behavior and swarm intelligence from the perspective of intelligent robots. We welcome innovative contributions of original research articles, review articles, opinion papers, papers on perspectives and on novel methods of robots behavior evolution.
Contributions include, but are not limited to, the following:
1. Environmental perception of individual or swarm robots
2. Object detection for robots in unstructured environment
3. Knowledge and memory of robots
4. Autonomous planning of robots
5. Robot skill learning in unstructured environment
6. Intelligent behavior of swarm robots
7. Swarm robots interaction
8. Self-decision-making of swarm robots
9. Skill allocation and reconstruction in human-robot collaboration
Keywords:
Robotics, Unstructured Environments, Environmental perception, Autonomous learning, Individual skills of robots, Swarm intelligence, Swarm Evolution, Self-organization and self-decision
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.