Open AccessThis article is
- freely available
Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements
Dpto Arquitectura de Computadores y Automatica, Universidad Complutense de Madrid, Av. Complutense s/n, 28040 Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 10 January 2012; in revised form: 15 February 2012 / Accepted: 15 February 2012 / Published: 23 February 2012
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
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
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.
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.
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.