Situationally Aware Mobile Robots

Dear Colleagues,

Robotics plays a pivotal role in expanding the competitiveness of all sectors of the economy, as well as offering new solutions to societal challenges. While industrial robots typically perform repetitive tasks, operating in industrial settings where the world is designed around them, service robots assist humans at work in non-industrial settings or at home, operating in complex dynamic unstructured environments. Robots need to continuously acquire complete situational awareness in such environments (i.e., perceiving the environment within time and space, comprehending its meaning, and responding to it for future adaption) to enable intelligent decision-making and autonomous task execution. Although the robotics research community has been investigating topics such as perception, mapping, and localization for many years, there is a strong need for a more advanced understanding of robotic situational awareness. This Special Issue of Sensors aims to present cutting-edge research proposing intelligent localization, mapping, and navigation techniques for mobile robots, harnessing metric, semantic, and topological relations while ensuring scalability in large-scale, real-world environments The topics of interest for this Special Issue are (but are not limited to):

• SLAM;
• Localization;
• Mapping;
• Perception;
• Planning and Navigation;
• Multi-Agent SLAM;
• Multi-Agent Planning and Navigation.

Dr. Hriday Bavle
Prof. Dr. Holger Voos
Dr. Jose Luis Sanchez-Lopez
Guest Editors

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