Health signal generation in the ORCA (Organic robot control architecture) framework

Raphael Maas; Erik Maehle

Health signal generation in the ORCA (Organic robot control architecture) framework

Raphael Maas, Erik Maehle

Institute of Computer Engineering

Abstract

This paper evaluates various information-theoretical methods for the generation of health signals in the Organic Robot Control Architecture (ORCA). Also a new method based on the joint probability distribution of signals is proposed. The results show that the new method is superior to the known ones for the studied worst-case artificial and real scenarios. As an example for the application of health signals in ORCA, an adaptable path planner is described which considers the health status of a partially damaged robot.

Original language	English
Title of host publication	P232 - Informatik 2014
Number of pages	12
Volume	P-232
Place of Publication	Bonn
Publisher	Gesellschaft für Informatik, Bonn
Publication date	26.09.2014
Pages	1327-1338
ISBN (Print)	978-388579626-8
Publication status	Published - 26.09.2014
Event	44th Annual Meeting of the Society for Computer Science, INFORMATICS 2014 - Vaihinger Campus der Universitat Stuttgart, Stuttgart, Germany Duration: 22.09.2014 → 26.09.2014 Conference number: 110425

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https://dl.gi.de/handle/20.500.12116/2741

Cite this

@inproceedings{0581041dc8864ae1b1fd5f40fd121675,

title = "Health signal generation in the ORCA (Organic robot control architecture) framework",

abstract = "This paper evaluates various information-theoretical methods for the generation of health signals in the Organic Robot Control Architecture (ORCA). Also a new method based on the joint probability distribution of signals is proposed. The results show that the new method is superior to the known ones for the studied worst-case artificial and real scenarios. As an example for the application of health signals in ORCA, an adaptable path planner is described which considers the health status of a partially damaged robot.",

author = "Raphael Maas and Erik Maehle",

year = "2014",

month = sep,

day = "26",

language = "English",

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volume = " P-232",

series = "Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)",

publisher = "Gesellschaft f{\"u}r Informatik, Bonn",

pages = "1327--1338",

booktitle = "P232 - Informatik 2014",

note = "44th Annual Meeting of the Society for Computer Science, INFORMATICS 2014<br/> ; Conference date: 22-09-2014 Through 26-09-2014",

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Maas, R & Maehle, E 2014, Health signal generation in the ORCA (Organic robot control architecture) framework. in P232 - Informatik 2014 . vol. P-232, Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), vol. P-232, Gesellschaft für Informatik, Bonn, Bonn, pp. 1327-1338, 44th Annual Meeting of the Society for Computer Science, INFORMATICS 2014
, Stuttgart, Baden-Württemberg, Germany, 22.09.14. <https://dl.gi.de/handle/20.500.12116/2741>

Health signal generation in the ORCA (Organic robot control architecture) framework. / Maas, Raphael; Maehle, Erik.
P232 - Informatik 2014 . Vol. P-232 Bonn: Gesellschaft für Informatik, Bonn, 2014. p. 1327-1338 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-232).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Health signal generation in the ORCA (Organic robot control architecture) framework

AU - Maas, Raphael

AU - Maehle, Erik

N1 - Conference code: 110425

PY - 2014/9/26

Y1 - 2014/9/26

N2 - This paper evaluates various information-theoretical methods for the generation of health signals in the Organic Robot Control Architecture (ORCA). Also a new method based on the joint probability distribution of signals is proposed. The results show that the new method is superior to the known ones for the studied worst-case artificial and real scenarios. As an example for the application of health signals in ORCA, an adaptable path planner is described which considers the health status of a partially damaged robot.

AB - This paper evaluates various information-theoretical methods for the generation of health signals in the Organic Robot Control Architecture (ORCA). Also a new method based on the joint probability distribution of signals is proposed. The results show that the new method is superior to the known ones for the studied worst-case artificial and real scenarios. As an example for the application of health signals in ORCA, an adaptable path planner is described which considers the health status of a partially damaged robot.

UR - https://www.scopus.com/pages/publications/84922566063

M3 - Conference contribution

SN - 978-388579626-8

VL - P-232

T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

SP - 1327

EP - 1338

BT - P232 - Informatik 2014

PB - Gesellschaft für Informatik, Bonn

CY - Bonn

T2 - 44th Annual Meeting of the Society for Computer Science, INFORMATICS 2014<br/>

Y2 - 22 September 2014 through 26 September 2014

ER -

Health signal generation in the ORCA (Organic robot control architecture) framework

Abstract

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