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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Merino, L. Caballero, F. Ollero, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: University of Seville, Escuela Superior de Ingenieros, Camino de los Descubrimientos s/n, 41092 (Spain) (Caballero, F.; Ollero, A.) || Pablo de Olavide University, Carretera Utrera km1, 41013, Sevilla (Spain) (Merino, L.) |
| Abstract | Radio signal-based localization and mapping is becoming more interesting in robotics as applications involving the collaboration between robots and static wireless devices are more common. This paper describes a method for mapping with a mobile robot the position of a set of nodes using radio signal measurements. The method employs Gaussian Mixtures Models (GMM) for undelayed initialization of the position of the wireless nodes within a Kalman filter. Moreover, the paper extends the method to consider active sensing strategies in order to map the nodes. Entropy variation is used as a measurement of information gain, and allows to prioritize control actions of the robot. However, as there is no analytical expression for the entropy of a GMM, upper bounds of the entropy, for which close form computation is possible, are used instead. The paper describes simulations that show the feasibility of the approach. |
| Starting Page | 37 |
| Ending Page | 42 |
| File Size | 2208672 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424466740 |
| ISSN | 21530866 |
| e-ISBN | 9781424466764 |
| DOI | 10.1109/IROS.2010.5650442 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-18 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot sensing systems Entropy Wireless sensor networks Robot kinematics Weight measurement |
| Content Type | Text |
| Resource Type | Article |
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