<abstract xmlns="http://www.w3.org/1999/xhtml"><p> we present an integrated approach for robot localization that allows to integrate for the artificial landmark localization data with odometric sensors and signal transfer function data to provide means for different practical application scenarios. The sensor data fusion deals with asynchronous sensor data using inverse Laplace transform. We demonstrate a simulation software system that ensures smooth integration of the odometry-based and signal transfer - based localization into one approach.</p></abstract>

we present an integrated approach for robot localization that allows to integrate for the artificial landmark localization data with odometric sensors and signal transfer function data to provide means for different practical application scenarios. The sensor data fusion deals with asynchronous sensor data using inverse Laplace transform. We demonstrate a simulation software system that ensures smooth integration of the odometry-based and signal transfer - based localization into one approach.

Single Robot Localisation Approach for Indoor Robotic Systems through Integration of Odometry and Artificial Landmarks

Riga Technical University, Faculty of Computer Science and Information Technology, Institute of Applied Computer Systems

Applied Computer Systems

we present an integrated approach for robot localization that allows to integrate for the artificial landmark localization data with odometric sensors and...

Single Robot Localisation Approach for Indoor Robotic Systems through Integration of Odometry and Artificial Landmarks

Online veröffentlicht: 08. Juni 2013

Seitenbereich: 50 - 58

DOI: https://doi.org/10.2478/acss-2013-0006

Schlüsselwörter
robotics, single robot systems, robot localization

This content is open access.

Single Robot Localisation Approach for Indoor Robotic Systems through Integration of Odometry and Artificial Landmarks

Online veröffentlicht: 08. Juni 2013

Seitenbereich: 50 - 58

DOI: https://doi.org/10.2478/acss-2013-0006

Schlüsselwörterrobotics, single robot systems, robot localization

This content is open access.

Schlüsselwörter
robotics, single robot systems, robot localization