Modeling mobile robot motion with polar representations

Authors:
Joseph Djugash;Sanjiv Singh;Benjamin Grocholsky
Affiliations:
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA;Robotics Institute, Carnegie Mellon University, Pittsburgh, PA;Robotics Institute, Carnegie Mellon University, Pittsburgh, PA
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

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Abstract

This article compares several parameterizations and motion models for improving the estimation of the non-linear uncertainty distribution produced by robot motion. In previous work, we have shown that the use of a modified 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.