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Multi Body Kalman Filtering with Articulation Constraints for Humanoid Robot Pose and Motion Estimation

  • Daniel Hauschildt
  • Sören Kerner
  • Stefan Tasse
  • Oliver Urbann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7416)

Abstract

In this paper, a concept for articulated rigid body state estimation is proposed. The articulated body, for instance a humanoid robot, is modeled in a maximal coordinate formulation and the articulations between the rigid bodies as nonlinear position and linear motion constraints. At first, the individual state of each particular rigid body is estimated with a Kalman filter, which leads to an unconstrained state estimate. Subsequently, the correct state estimate for the articulated rigid body is derived by projecting the unconstrained estimate onto the constraint surface.

Keywords

Rigid Body Motion Estimation Humanoid Robot Biped Robot Rotation Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Daniel Hauschildt
    • 1
  • Sören Kerner
    • 1
  • Stefan Tasse
    • 1
  • Oliver Urbann
    • 1
  1. 1.Robotics Research Institute, Section Information TechnologyTU Dortmund UniversityDortmundGermany

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