Topic: Swarm Intelligence for Robotic Systems
Guest Editors
Dr. Haibin Duan
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China.
Special Issue Introduction
The Special Issue on Swarm Intelligence for Robotic Systems aims to explore the cutting-edge research and applications at the intersection of swarm intelligence and robotics. Swarm intelligence, inspired by the collective behavior of social insect colonies, offers a promising approach to designing intelligent and adaptive systems. By integrating swarm intelligence principles into robotic systems, researchers are harnessing the power of decentralized cooperation, self-organization, and emergent behavior to tackle complex challenges in various domains.
This Special Issue serves as a platform for researchers and practitioners to share their latest advancements, methodologies, algorithms, and real-world implementations in the field of swarm intelligence for robotic systems. It covers a wide range of topics, including but not limited to swarm robotics, collective decision-making, swarm coordination, swarm communication, swarm optimization, and self-organization in robotic systems.
The aim of this Special Issue is to foster interdisciplinary collaboration and exchange of knowledge among researchers from swarm intelligence and robotics communities. We invite high-quality submissions of original research articles, reviews, and case studies that explore novel approaches, theoretical foundations, practical algorithms, and experimental validations related to swarm intelligence in the context of robotic systems.
Topics of interest for this Special Issue include, but are not limited to:
● Swarm robotics and collective behaviors;
● Self-reconfigure robots or self-assemble robots;
● Multi-robot systems and swarm coordination;
● Swarm communication and information sharing;
● Swarm-based search and exploration;
● Swarm optimization and task allocation;
● Self-organization and adaptation in robotic swarms;
● Distributed decision-making and consensus in swarm robotics;
● Bio-inspired algorithms for swarm intelligence;
● Real-world applications of swarm intelligence in robotics;
● Ethical and safety considerations in swarm-based robotic systems.
This Special Issue serves as a platform for researchers and practitioners to share their latest advancements, methodologies, algorithms, and real-world implementations in the field of swarm intelligence for robotic systems. It covers a wide range of topics, including but not limited to swarm robotics, collective decision-making, swarm coordination, swarm communication, swarm optimization, and self-organization in robotic systems.
The aim of this Special Issue is to foster interdisciplinary collaboration and exchange of knowledge among researchers from swarm intelligence and robotics communities. We invite high-quality submissions of original research articles, reviews, and case studies that explore novel approaches, theoretical foundations, practical algorithms, and experimental validations related to swarm intelligence in the context of robotic systems.
Topics of interest for this Special Issue include, but are not limited to:
● Swarm robotics and collective behaviors;
● Self-reconfigure robots or self-assemble robots;
● Multi-robot systems and swarm coordination;
● Swarm communication and information sharing;
● Swarm-based search and exploration;
● Swarm optimization and task allocation;
● Self-organization and adaptation in robotic swarms;
● Distributed decision-making and consensus in swarm robotics;
● Bio-inspired algorithms for swarm intelligence;
● Real-world applications of swarm intelligence in robotics;
● Ethical and safety considerations in swarm-based robotic systems.
Submission Deadline
1 Jul 2024
Submission Information
For Author Instructions, please refer to https://www.oaepublish.com/ir/author_instructions
For Online Submission, please login at https://www.oaecenter.com/login?JournalId=ir&IssueId=ir2407011517
Submission Deadline: 1 Jul 2024
Contacts: Yawen Jiang, Assistant Editor, assistant_editor@intellrobot.com