Qualitative kinematics of planar robots: Intelligent connection

Honghai Liu, George M. Coghill, David J. Brown

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper proposes a qualitative representation for robot kinematics in order to close the gap, raised by the perception-action problem, with a focus on intelligent connection of qualitative states to their corresponding numeric data in a robotic system. First, qualitative geometric primitives are introduced by combining a qualitative orientation component and qualitative translation component using normalisation techniques. A position in Cartesian space can be mathematically described by the scalable primitives. Secondly, qualitative robot kinematics of an n-link planar robot is derived in terms of the qualitative geometry primitives. Finally, it shows how to connect quantitativeness and qualitativeness of a robotic system. On the one hand, the integration of normalisation and domain knowledge generates normalised labels to introduce the meaningful parameters into the proposed representation. On the other hand, the normalised labels of this representation can be converted to a quantitative description using aggregation operators, whose numeric outputs can be used to generate desired trajectories based on mature interpolation techniques.

Original languageEnglish
Pages (from-to)525-541
Number of pages17
JournalInternational Journal of Approximate Reasoning
Volume46
Issue number3
Early online date12 Feb 2007
DOIs
Publication statusPublished - Dec 2007

Keywords

  • qualitative reasoning
  • qualitative modelling
  • robotics

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