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A comparison of decision making criteria and optimization methods for active robotic sensing

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A comparison of decision making criteria and optimization methods for active robotic sensing. / Mihaylova, Lyudmila; Lefebvre, Tine; Bryunincks, Herman; Gadeyne, Klaas; De Schutter, Joris.

Numerical Methods and Applications: 5th International Conference, NMA 2002 Borovets, Bulgaria, August 20–24, 2002 Revised Papers. ed. / Ivan Dimov; Ivan Lirkov; Svetozar Margenov; Zahari Zlatev. Berlin : Springer, 2003. p. 316-324 (Lecture Notes in Computer Science; Vol. 2542).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Mihaylova, L, Lefebvre, T, Bryunincks, H, Gadeyne, K & De Schutter, J 2003, A comparison of decision making criteria and optimization methods for active robotic sensing. in I Dimov, I Lirkov, S Margenov & Z Zlatev (eds), Numerical Methods and Applications: 5th International Conference, NMA 2002 Borovets, Bulgaria, August 20–24, 2002 Revised Papers. Lecture Notes in Computer Science, vol. 2542, Springer, Berlin, pp. 316-324. https://doi.org/10.1007/3-540-36487-0_35

APA

Mihaylova, L., Lefebvre, T., Bryunincks, H., Gadeyne, K., & De Schutter, J. (2003). A comparison of decision making criteria and optimization methods for active robotic sensing. In I. Dimov, I. Lirkov, S. Margenov, & Z. Zlatev (Eds.), Numerical Methods and Applications: 5th International Conference, NMA 2002 Borovets, Bulgaria, August 20–24, 2002 Revised Papers (pp. 316-324). (Lecture Notes in Computer Science; Vol. 2542). Springer. https://doi.org/10.1007/3-540-36487-0_35

Vancouver

Mihaylova L, Lefebvre T, Bryunincks H, Gadeyne K, De Schutter J. A comparison of decision making criteria and optimization methods for active robotic sensing. In Dimov I, Lirkov I, Margenov S, Zlatev Z, editors, Numerical Methods and Applications: 5th International Conference, NMA 2002 Borovets, Bulgaria, August 20–24, 2002 Revised Papers. Berlin: Springer. 2003. p. 316-324. (Lecture Notes in Computer Science). https://doi.org/10.1007/3-540-36487-0_35

Author

Mihaylova, Lyudmila ; Lefebvre, Tine ; Bryunincks, Herman ; Gadeyne, Klaas ; De Schutter, Joris. / A comparison of decision making criteria and optimization methods for active robotic sensing. Numerical Methods and Applications: 5th International Conference, NMA 2002 Borovets, Bulgaria, August 20–24, 2002 Revised Papers. editor / Ivan Dimov ; Ivan Lirkov ; Svetozar Margenov ; Zahari Zlatev. Berlin : Springer, 2003. pp. 316-324 (Lecture Notes in Computer Science).

Bibtex

@inbook{c0b54ef4e7cb45748a74b4233d10e6d2,
title = "A comparison of decision making criteria and optimization methods for active robotic sensing",
abstract = "This work presents a comparison of decision making criteria and optimization methods for active sensing in robotics. Active sensing incorporates the following aspects: (i ) where to position sensors, and (ii ) how to make decisions for next actions, in order to maximize information gain and minimize costs. We concentrate on the second aspect: “Where should the robot move at the next time step?”. Pros and cons of the most often used statistical decision making strategies are discussed. Simulation results from a new multisine approach for active sensing of a nonholonomic mobile robot are given.",
keywords = "active sensing, decsion making, intelligent systems, autonomous robotic systems",
author = "Lyudmila Mihaylova and Tine Lefebvre and Herman Bryunincks and Klaas Gadeyne and {De Schutter}, Joris",
note = "The original publication is available at www.springerlink.com",
year = "2003",
doi = "10.1007/3-540-36487-0_35",
language = "English",
isbn = "9783540006084",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "316--324",
editor = "Ivan Dimov and Ivan Lirkov and Svetozar Margenov and Zahari Zlatev",
booktitle = "Numerical Methods and Applications",

}

RIS

TY - CHAP

T1 - A comparison of decision making criteria and optimization methods for active robotic sensing

AU - Mihaylova, Lyudmila

AU - Lefebvre, Tine

AU - Bryunincks, Herman

AU - Gadeyne, Klaas

AU - De Schutter, Joris

N1 - The original publication is available at www.springerlink.com

PY - 2003

Y1 - 2003

N2 - This work presents a comparison of decision making criteria and optimization methods for active sensing in robotics. Active sensing incorporates the following aspects: (i ) where to position sensors, and (ii ) how to make decisions for next actions, in order to maximize information gain and minimize costs. We concentrate on the second aspect: “Where should the robot move at the next time step?”. Pros and cons of the most often used statistical decision making strategies are discussed. Simulation results from a new multisine approach for active sensing of a nonholonomic mobile robot are given.

AB - This work presents a comparison of decision making criteria and optimization methods for active sensing in robotics. Active sensing incorporates the following aspects: (i ) where to position sensors, and (ii ) how to make decisions for next actions, in order to maximize information gain and minimize costs. We concentrate on the second aspect: “Where should the robot move at the next time step?”. Pros and cons of the most often used statistical decision making strategies are discussed. Simulation results from a new multisine approach for active sensing of a nonholonomic mobile robot are given.

KW - active sensing

KW - decsion making

KW - intelligent systems

KW - autonomous robotic systems

U2 - 10.1007/3-540-36487-0_35

DO - 10.1007/3-540-36487-0_35

M3 - Chapter

SN - 9783540006084

T3 - Lecture Notes in Computer Science

SP - 316

EP - 324

BT - Numerical Methods and Applications

A2 - Dimov, Ivan

A2 - Lirkov, Ivan

A2 - Margenov, Svetozar

A2 - Zlatev, Zahari

PB - Springer

CY - Berlin

ER -