Applications of Robot Navigation in Autonomous Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 20 August 2026 | Viewed by 1039
Special Issue Editors
Interests: swarm robots; quantum machine learning; localization and navigation; distributed security
Special Issues, Collections and Topics in MDPI journals
Interests: localization and navigation; multi-agent systems; reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Interests: Riccati equation; control system; optimal control theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue explores cutting-edge advancements in robot navigation techniques and their transformative impact on autonomous systems. It aims to present innovative research and applications addressing challenges in localization, mapping, path planning, and navigation algorithms. This issue emphasizes integration with technologies like artificial intelligence, multi-agent coordination, and sensor fusion, showcasing the growing role of robot navigation in fields such as autonomous vehicles, service robots, and industrial automation, among others.
Robot navigation has emerged as a cornerstone of autonomous systems, enabling machines to perceive, plan, and act in complex and dynamic environments. This Special Issue focuses on the applications of robot navigation, covering key topics such as localization, mapping, obstacle avoidance, and decision making strategies. Emphasis will be placed on methods that leverage state-of-the-art technologies like deep learning, reinforcement learning, and multi-agent systems to overcome traditional challenges. This issue invites contributions that address practical implementations in areas such as autonomous driving, indoor service robotics, marine exploration, and industrial automation. By highlighting these advancements, this Special Issue aims to inspire innovative solutions pushing the boundaries of what robots can achieve in real-world settings.
Dr. Cheng Xu
Dr. Shihong Duan
Prof. Dr. Augusto Ferrante
Guest Editors
Manuscript Submission Information
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Keywords
- robot navigation
- autonomous systems
- localization and mapping
- path planning
- sensor fusion
- multi-agent systems
- reinforcement learning
- quantum in robots
- swarm robots
- robustness and security
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