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Sensors 2012, 12(3), 2487-2518; doi:10.3390/s120302487
Article

Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements

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Received: 10 January 2012; in revised form: 15 February 2012 / Accepted: 15 February 2012 / Published: 23 February 2012
(This article belongs to the Section Physical Sensors)
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Abstract: This paper presents a state of the art of the estimation algorithms dealing with Out-of-Sequence (OOS) measurements for non-linearly modeled systems. The state of the art includes a critical analysis of the algorithm properties that takes into account the applicability of these techniques to autonomous mobile robot navigation based on the fusion of the measurements provided, delayed and OOS, by multiple sensors. Besides, it shows a representative example of the use of one of the most computationally efficient approaches in the localization module of the control software of a real robot (which has non-linear dynamics, and linear and non-linear sensors) and compares its performance against other approaches. The simulated results obtained with the selected OOS algorithm shows the computational requirements that each sensor of the robot imposes to it. The real experiments show how the inclusion of the selected OOS algorithm in the control software lets the robot successfully navigate in spite of receiving many OOS measurements. Finally, the comparison highlights that not only is the selected OOS algorithm among the best performing ones of the comparison, but it also has the lowest computational and memory cost.
Keywords: autonomous mobile robots; location estimation; out-of-sequence; extended Kalman filter autonomous mobile robots; location estimation; out-of-sequence; extended Kalman filter
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Besada-Portas, E.; Lopez-Orozco, J.A.; Lanillos, P.; de la Cruz, J.M. Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements. Sensors 2012, 12, 2487-2518.

AMA Style

Besada-Portas E, Lopez-Orozco JA, Lanillos P, de la Cruz JM. Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements. Sensors. 2012; 12(3):2487-2518.

Chicago/Turabian Style

Besada-Portas, Eva; Lopez-Orozco, Jose A.; Lanillos, Pablo; de la Cruz, Jesus M. 2012. "Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements." Sensors 12, no. 3: 2487-2518.


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