Applications of Robot Navigation in Autonomous Systems

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

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