Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
ROS-BASED SLAM FOR A GAZEBO-SIMULATED MOBILE ROBOT IN IMAGE-BASED 3D MODEL OF INDOOR ENVIRONMENT
Form of presentationArticles in international journals and collections
Year of publication2015
Языканглийский
  • Magid Evgeniy Arkadevich, author
  • Bibliographic description in the original language Afanasyev I. ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment / Sagitov A., Magid E. // Lecture Notes in Computer Science (incl. subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2015. - №9386. - p. 273-283.
    Annotation At present, robot simulators have robust physics engine, high-quality graphics, convenient customer and graphical interfaces, that gives rich opportunities to substitute the real robot by its simulation model, providing the calculation of a robot locomotion by odometry and sensor data. This paper aims at describing a Gazebo simulation approach of simultaneous localization and mapping (SLAM) based on the Robotic operating system (ROS) for a simulated mobile robot with a system of two scanning lasers, which moves in a 3D model of realistic indoor environment. The image-based 3D model of a real room with obstacles was obtained by camera shots and reconstructed by Autodesk 123D Catch software with meshing in MeshLab software. We use the existing Gazebo simulation of the Willow Garage Personal Robot 2 (PR2) with its sensor system, which facilitates the simulation of robot locomotion and sensor measurements for SLAM and navigation tasks.
    Keywords SLAM, ROS, Gazebo, Navigation, localization and mapping, Image-based 3D model, Laser rangefinder, Robot simulators.
    The name of the journal Lecture Notes in Computer Science
    URL https://link.springer.com/chapter/10.1007/978-3-319-25903-1_24
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=149752&p_lang=2
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