Mining Temporal Patterns for Humanoid Robot Using Pattern Growth Method

Authors:
Upasna Singh;Kevindra Pal Singh;G. C. Nandi
Affiliations:
Indian Institute of Information Technology, Allahabad;Indian Institute of Information Technology, Allahabad;Indian Institute of Information Technology, Allahabad
Venue:
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Year:
2009

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Abstract

In this paper, we have projected an efficient mining method for a temporal dataset of humanoid robot HOAP-2 (Humanoid Open Architecture Platform). This method is adequate to discover knowledge of intermediate patterns which are hidden inside different existing patterns of motion of HOAP-2 joints. Pattern-growth method such as FP (Frequent Pattern) growth, unfolds many unpredictable associations among different joint trajectories of HOAP-2 that can depict various kinds of motion. In addition, we have cross-checked our methodology over Webots, a simulation platform for HOAP-2, and found that our investigation is adjuvant to predict new patterns of motion in terms of temporal association rules for HOAP-2.