Navigation and Perception for Mobile Robots
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 38
Special Issue Editors
Interests: visual appearance; mobile robots; parallel robots; mapping
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; omnidirectional imaging; appearance descriptors; image processing; mobile robotics; environment modeling; visual localization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mobile robots have become increasingly essential across a wide range of applications, from industrial automation to autonomous vehicles and personal assistants. A key factor in their success is their ability to navigate and perceive their environment effectively. This Special Issue explores the latest developments in navigation and perception for mobile robots. Navigation focuses on the algorithms and systems that enable robots to move efficiently and safely through dynamic environments, while perception involves the technologies that allow robots to interpret and understand the world around them.
Recent advances have significantly improved robots' capabilities in tasks such as simultaneous localization and mapping (SLAM), obstacle avoidance, and path planning, even in complex, uncertain environments. New sensor technologies, including LiDAR, cameras, and radar, have contributed to more precise and reliable perception. Additionally, machine learning techniques are being applied to enhance robots' decision-making and adaptability.
This Special Issue examines both theoretical progress and practical applications, offering insights into the challenges and solutions in the fields of robot navigation and perception. It covers various types of robots, from wheeled machines to aerial drones, showcasing the interdisciplinary nature of this field and its transformative potential for autonomous systems in a wide range of industries.
Prof. Dr. Oscar Reinoso
Prof. Dr. Luis Payá
Guest Editors
Manuscript Submission Information
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Keywords
- mobile robots
- robot navigation
- robot perception
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