A low-cost robotic system for simultaneous localization and mapping

Abstract This paper presents a low-cost system for simultaneous localization and mapping (SLAM) for unknown indoor environments. The system is based on a low-cost mobile-robot platform. The low-cost mobile robot is designed and fabricated in our control laboratory. The Rao-Blackwellized particle fil...

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Bibliographic Details
Published in:Journal of Engineering and Applied Science
Main Authors: Ayman Hamdy Kassem, Muhammad Asem
Format: Article
Language:English
Published: SpringerOpen 2024-07-01
Subjects:
SLAM
ROS
Raspberry Pi
Probabilistic robotics
Particle filters
Mobile robot
Online Access:https://doi.org/10.1186/s44147-024-00486-8

Internet

https://doi.org/10.1186/s44147-024-00486-8

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