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Presentation
Motion segmentation for humanoid control planning
Faculty of Engineering - Papers (Archive)
  • Matthew Field, University of Wollongong
  • David A Stirling, University of Wollongong
  • Fazel Naghdy, University of Wollongong
  • Zengxi Pan, University of Wollongong
RIS ID
25586
Publication Date
1-1-2008
Publication Details

Field, M., Stirling, D. A., Naghdy, F. & Pan, Z. 2008, 'Motion segmentation for humanoid control planning', Australasian Conference on Robotics and Automation, Australian Robotics & Automation Association, Canberra, Australia, p. [6].

Abstract
The discovery of major management behaviours from human motion data and uncovering their underlying components is investigated. A range of methods for segmenting major shifts in multidimensional time series are compared in inducing plausible behaviours from motion data. These behaviours are considered as supersets of motion primitives that define a repertoire of manoeuvres available to the human. The resulting multilayered symbolic model is used as a framework for humanoid imitation and control. It is hoped that with appropriate matching and scaling of degrees of freedom, models can be tested by extracting a trajectory for a simulation of the Nao soccer bot.
Disciplines
Citation Information
Matthew Field, David A Stirling, Fazel Naghdy and Zengxi Pan. "Motion segmentation for humanoid control planning" (2008)
Available at: http://works.bepress.com/dstirling/12/