Home > Research > Publications & Outputs > Active sensing of a nonholonomic wheeled mobile...

Research

Associated organisational unit

Electronic data

Keywords

View graph of relations

Active sensing of a nonholonomic wheeled mobile robot

Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review

Published

Standard

Active sensing of a nonholonomic wheeled mobile robot. / Mihaylova, L.; Bruyninckx, H.; De Schutter, J.
2002. Poster session presented at IEEE Benelux Signal Processing Symposium, Leuven, Belgium.

Research output: Contribution to conference - Without ISBN/ISSN › Poster › peer-review

Harvard

Mihaylova, L, Bruyninckx, H & De Schutter, J 2002, 'Active sensing of a nonholonomic wheeled mobile robot', IEEE Benelux Signal Processing Symposium, Leuven, Belgium, 21/03/02 - 22/03/02.

APA

Mihaylova, L., Bruyninckx, H., & De Schutter, J. (2002). Active sensing of a nonholonomic wheeled mobile robot. Poster session presented at IEEE Benelux Signal Processing Symposium, Leuven, Belgium.

Vancouver

Mihaylova L, Bruyninckx H, De Schutter J. Active sensing of a nonholonomic wheeled mobile robot. 2002. Poster session presented at IEEE Benelux Signal Processing Symposium, Leuven, Belgium.

Author

Mihaylova, L. ; Bruyninckx, H. ; De Schutter, J. / Active sensing of a nonholonomic wheeled mobile robot. Poster session presented at IEEE Benelux Signal Processing Symposium, Leuven, Belgium.125 p.

Bibtex

@conference{cc9e1d5042fc41c992c3ec3d9ef2f2cd,
title = "Active sensing of a nonholonomic wheeled mobile robot",
abstract = "This paper focuses on active sensing of nonholonomic wheeled mobile robots (WMRs). Active sensing solves the following problem: given a current knowledge about the robot state and the environment, how to select the next sensing action or sequence of actions. A vehicle is moving autonomously through a static environment gathering information from sensors. The sensor data are used to generate the robot actions in order to move around a reference trajectory with preset initial starting and desired goal configurations and imposed constraints. The paper presents a method for the determination of optimal trajectories based on optimization techniques. A suitable performance criterion is formulated to characterize the uncertainty and the extraction of information from sensor data. Finally results from experiments are given.",
keywords = "active sensing, robot, trajectory optimisation, sensor data DCS-publications-id, inproc-527, DCS-publications-credits, dsp-fa, DCS-publications-personnel-id, 121",
author = "L. Mihaylova and H. Bruyninckx and {De Schutter}, J.",
year = "2002",
month = mar,
day = "21",
language = "English",
note = "IEEE Benelux Signal Processing Symposium ; Conference date: 21-03-2002 Through 22-03-2002",

}

RIS

TY - CONF

T1 - Active sensing of a nonholonomic wheeled mobile robot

AU - Mihaylova, L.

AU - Bruyninckx, H.

AU - De Schutter, J.

PY - 2002/3/21

Y1 - 2002/3/21

N2 - This paper focuses on active sensing of nonholonomic wheeled mobile robots (WMRs). Active sensing solves the following problem: given a current knowledge about the robot state and the environment, how to select the next sensing action or sequence of actions. A vehicle is moving autonomously through a static environment gathering information from sensors. The sensor data are used to generate the robot actions in order to move around a reference trajectory with preset initial starting and desired goal configurations and imposed constraints. The paper presents a method for the determination of optimal trajectories based on optimization techniques. A suitable performance criterion is formulated to characterize the uncertainty and the extraction of information from sensor data. Finally results from experiments are given.

AB - This paper focuses on active sensing of nonholonomic wheeled mobile robots (WMRs). Active sensing solves the following problem: given a current knowledge about the robot state and the environment, how to select the next sensing action or sequence of actions. A vehicle is moving autonomously through a static environment gathering information from sensors. The sensor data are used to generate the robot actions in order to move around a reference trajectory with preset initial starting and desired goal configurations and imposed constraints. The paper presents a method for the determination of optimal trajectories based on optimization techniques. A suitable performance criterion is formulated to characterize the uncertainty and the extraction of information from sensor data. Finally results from experiments are given.

KW - active sensing

KW - robot

KW - trajectory optimisation

KW - sensor data DCS-publications-id

KW - inproc-527

KW - DCS-publications-credits

KW - dsp-fa

KW - DCS-publications-personnel-id

KW - 121

M3 - Poster

T2 - IEEE Benelux Signal Processing Symposium

Y2 - 21 March 2002 through 22 March 2002

ER -