DOI: 10.26650/electrica.2019.18038
With the increasing employment of mobile
robots to achieve different tasks in various applications, the need for
localization and body position for these robots is increasing rapidly. Many
techniques are proposed to calculate the precise coordinates of a robot based
on the distances measured between the robot and a set of reference points.
Also, internal sensors, such as accelerometers and gyroscopes, are used to
detect the body position and the direction of the robot. However, the effect of obstacles in an indoor
environment and sensor drifts still limit the applicability of such systems.
Thus, in this study, a novel technique that uses one or more robots to
compensate for the missing stationary points is proposed. The robots in the
proposed technique collaborate to improve the positioning accuracy, by
providing reference points to each other. Per each movement execution of one
robot, the remaining robots remain stationary, to provide the required
reference points. When the robot finishes the movement execution, its position
is updated based on the signals collected from the other robots, in addition to
the position calculated by the onboard sensors. Then, another robot is selected
to execute its movement.. The results show that the proposed method has been
able to improve the positioning accuracy, by increasing the number of
collaborating robots, when the median function if used to select the
coordinates of the robot, among the candidate positions.
Cite this article as: Albayati BIR, Kurt S.
Assisting 3D Indoor Positioning for Robot Navigation. Electrica, 2019; 19(1):
85-90.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | January 1, 2019 |
Published in Issue | Year 2019 Volume: 19 Issue: 1 |