Linear estimation of the physical odometric parameters for differential-drive mobile robots. Antonelli, G. & Chiaverini, S. Autonomous Robots, 2007. doi abstract bibtex In this paper a calibration technique aimed at identifying the odometric parameters of differential-drive mobile robots is proposed. The algorithm is based on two successive least-squares estimations based on the continuous-time kinematic equations of motion; the time-discretization error, thus, is avoided. The use of the least-squares technique is made possible by working on a linear mapping between the unknowns and the measurements and is not the result of a linearization. Another advantage of the proposed technique is that no specific path is required. The basic technique makes use of video-camera measurements and absolute position readings of the wheels' encoders; the use of different sensors and measurements of the wheels velocities is also discussed. Experimental results with a mobile robot Khepera II confirm the effectiveness of the proposed technique. © 2007 Springer Science+Business Media, LLC.
@article{Antonelli2007d,
author = {Antonelli, Gianluca and Chiaverini, Stefano},
title = {Linear estimation of the physical odometric parameters for differential-drive mobile robots},
journal = {Autonomous Robots},
volume = {23},
number = {1},
doi = {10.1007/s10514-007-9030-2},
issn = {ISSN(print='09295593', electronic=None)},
abstract = {In this paper a calibration technique aimed at identifying the odometric parameters of differential-drive mobile robots is proposed. The algorithm is based on two successive least-squares estimations based on the continuous-time kinematic equations of motion; the time-discretization error, thus, is avoided. The use of the least-squares technique is made possible by working on a linear mapping between the unknowns and the measurements and is not the result of a linearization. Another advantage of the proposed technique is that no specific path is required. The basic technique makes use of video-camera measurements and absolute position readings of the wheels' encoders; the use of different sensors and measurements of the wheels velocities is also discussed. Experimental results with a mobile robot Khepera II confirm the effectiveness of the proposed technique. © 2007 Springer Science+Business Media, LLC.},
year = {2007},
}
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