Probabilistic scan mode of a robot manipulator workspace using EEG signals. Part II

Fernando A.Auat Cheeín*, Fernando Di Sciascio, Teodiano Freire Bastos, Ricardo Carelli

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper a probabilistic-based workspace scan mode of a robot manipulator is presented. The workspace is divided into cells. Each cell has its own probability value associated with it. Once the robot reaches a cell, its probability value is updated. The updating process is governed by a recursive Bayes algorithm. A performance comparison between a sequential scan mode and the one proposed here is made. Mathematical derivations and experimental results are also shown in this paper.

Original languageEnglish
Article number012096
JournalJournal of Physics: Conference Series
Volume90
DOIs
Publication statusPublished - 5 Dec 2007

ASJC Scopus subject areas

  • General Physics and Astronomy

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