Navigation Method for Autonomous Robots in a Dynamic Indoor Environment

Stanislav Věchet, Kuo-Shen Chen, Jiří Krejsa


The present paper considers issues related to navigation by autonomous mobile robots in overcrowded dynamic indoor environments (e.g., shopping malls, exhibition halls or convention centers). For robots moving among potentially unaware bystanders, safety is a key issue. A navigation method based on mixed potential field path planning is proposed, in cooperation with active artificial landmarks-based localization, in particular the bearing of infrared beacons placed in known coordinates processed via particle filters. Simulation experiments and tests in unmodified real-world environments with the actual robot show the proposed navigation system allows the robot to successfully navigate safely among bystanders.


Particle filters, Autonomous mobile robots, Navigation in dynamic environments, Mixed potential fields

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