Modeling Mobile Robot Motion with Polar Representations

Joseph Djugash, Sanjiv Singh, and Benjamin P. Grocholsky
Proceedings of IROS 2009, October, 2009.


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Abstract
This article compares several parameterizations and motion models for improving the estimation of the nonlinear uncertainty distribution produced by robot motion. In previous work, we have shown that the use of a modiļ¬ed polar parameterization provides a way to represent nonlinear measurements distributions in the Cartesian space as linear distributions in polar space. Following the same reasoning, we present a motion model extension that utilizes the same polar parameterization to achieve improved modeling of mobile robot motion in between measurements, gaining robustness with no additional overhead. We present both simulated and experimental results to validate the effectiveness of our approach.

Notes
Associated Center(s) / Consortia: Field Robotics Center
Number of pages: 6
Note: (to appear)

Text Reference
Joseph Djugash, Sanjiv Singh, and Benjamin P. Grocholsky, "Modeling Mobile Robot Motion with Polar Representations," Proceedings of IROS 2009, October, 2009.

BibTeX Reference
@inproceedings{Djugash_2009_6431,
   author = "Joseph Djugash and Sanjiv Singh and Benjamin P Grocholsky",
   title = "Modeling Mobile Robot Motion with Polar Representations",
   booktitle = "Proceedings of IROS 2009",
   month = "October",
   year = "2009",
   Notes = "(to appear)"
}