Metaclassifiers for Predicting the Robotic Navigational Performance
M. Thanjaivadivel1, R. Suguna2
1M.Thanjaivadivel, Assistant Professor, Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu), India.
2R.Suguna, Professor, Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1173-1176 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3734048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Prediction of robot steps can be used in path exploring problems and application of data mining techniques towards this constitutes better navigational approaches for robotics. In this paper we apply multi classification for a dataset with four types of movement classes like move-forward, sharp right-turn, slightright-turn, and slight left-turn in a separate layer. We obtain the results based on Meta classifiers accuracies tabulated. A layered approach is followed for obtaining the more accurate Multi-Classification.
Keyword: Data Mining, Classifiers, Multiclass, Layered approach, Multi-Classification.
Scope of the Article: Robotics