Published November 2007
| Version v1
Journal article
Probabilistic scan mode of a robot manipulator workspace using EEG signals. Part II
- 1. Institute of Automatic, National University of San Juan. San Martin, 1109 - Oeste 5400 San Juan (Argentina)
- 2. Electrical Engineering Department, Federal University of Espirito Santo. Fernando Ferrari, 514 29075-910 Vitoria-ES (Brazil)
Description
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
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 90
- Journal Issue
- 1
- Journal Page Range
- p. 012096
- ISSN
- 1742-6596
Conference
- Title
- 16. Argentine bioengineering congress; 5. conference of clinical engineering
- Acronym
- SABI 2007
- Dates
- 26-28 Sep 2007
- Place
- San Juan (Argentina)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 39040190
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; COMPARATIVE EVALUATIONS; MANIPULATORS; PERFORMANCE; PROBABILISTIC ESTIMATION; PROBABILITY; ROBOTS; SEQUENTIAL SCANNING; SIGNALS
- Descriptors DEC
- CALCULATION METHODS; COUNTING TECHNIQUES; EQUIPMENT; EVALUATION; LABORATORY EQUIPMENT; MATERIALS HANDLING EQUIPMENT; MATHEMATICAL LOGIC; REMOTE HANDLING EQUIPMENT