Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge

Oliver Obst

doi:10.1007/978-3-540-25940-4_47

Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge

Oliver Obst

University of Koblenz

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

We present a method to build a hypothesis on the condition of the environment in which a robotic multi-agent team moves. Initially the robots have a default assumption about the conditions of the floor and on how moving under these condition works. For certain parts of the environment however, the default assumption may be wrong and moving around does not work in the expected way. Now the robotic team builds a hypothesis on the conditions of the yet unvisited part of the environment in a way similar to computing a diagnosis for electrical circuits. Resources can be saved by avoiding areas that possibly also contain obstacles.

Original language	English
Title of host publication	RoboCup 2003
Subtitle of host publication	Robot Soccer World Cup VII
Editors	Daniel Polani, Brett Browning, Andrea Bonarini, Kazuo Yoshida
Publisher	Springer Verlag
Pages	518-525
Number of pages	8
ISBN (Print)	3540224432, 9783540224433
DOIs	https://doi.org/10.1007/978-3-540-25940-4_47
Publication status	Published - 2004
Externally published	Yes
Event	7th Robot World Cup Soccer and Rescue Competitions and Conferences, RoboCup 2003 - Padua, Italy Duration: 2 Jul 2003 → 11 Jul 2003

Publication series

Name	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	3020
ISSN (Print)	0302-9743

Conference

Conference	7th Robot World Cup Soccer and Rescue Competitions and Conferences, RoboCup 2003
Country/Territory	Italy
City	Padua
Period	2/07/03 → 11/07/03

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.

Access to Document

10.1007/978-3-540-25940-4_47

Cite this

Obst, O. (2004). Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge. In D. Polani, B. Browning, A. Bonarini, & K. Yoshida (Eds.), RoboCup 2003: Robot Soccer World Cup VII (pp. 518-525). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 3020). Springer Verlag. https://doi.org/10.1007/978-3-540-25940-4_47

Obst, Oliver. / Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge. RoboCup 2003: Robot Soccer World Cup VII. editor / Daniel Polani ; Brett Browning ; Andrea Bonarini ; Kazuo Yoshida. Springer Verlag, 2004. pp. 518-525 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)).

@inproceedings{5c0131869d4348b3844a15f0b1938377,

title = "Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge",

abstract = "We present a method to build a hypothesis on the condition of the environment in which a robotic multi-agent team moves. Initially the robots have a default assumption about the conditions of the floor and on how moving under these condition works. For certain parts of the environment however, the default assumption may be wrong and moving around does not work in the expected way. Now the robotic team builds a hypothesis on the conditions of the yet unvisited part of the environment in a way similar to computing a diagnosis for electrical circuits. Resources can be saved by avoiding areas that possibly also contain obstacles.",

author = "Oliver Obst",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2004.; 7th Robot World Cup Soccer and Rescue Competitions and Conferences, RoboCup 2003 ; Conference date: 02-07-2003 Through 11-07-2003",

year = "2004",

doi = "10.1007/978-3-540-25940-4_47",

language = "English",

isbn = "3540224432",

series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",

publisher = "Springer Verlag",

pages = "518--525",

editor = "Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida",

booktitle = "RoboCup 2003",

}

Obst, O 2004, Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge. in D Polani, B Browning, A Bonarini & K Yoshida (eds), RoboCup 2003: Robot Soccer World Cup VII. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 3020, Springer Verlag, pp. 518-525, 7th Robot World Cup Soccer and Rescue Competitions and Conferences, RoboCup 2003, Padua, Italy, 2/07/03. https://doi.org/10.1007/978-3-540-25940-4_47

Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge. / Obst, Oliver.
RoboCup 2003: Robot Soccer World Cup VII. ed. / Daniel Polani; Brett Browning; Andrea Bonarini; Kazuo Yoshida. Springer Verlag, 2004. p. 518-525 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 3020).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge

AU - Obst, Oliver

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2004.

PY - 2004

Y1 - 2004

N2 - We present a method to build a hypothesis on the condition of the environment in which a robotic multi-agent team moves. Initially the robots have a default assumption about the conditions of the floor and on how moving under these condition works. For certain parts of the environment however, the default assumption may be wrong and moving around does not work in the expected way. Now the robotic team builds a hypothesis on the conditions of the yet unvisited part of the environment in a way similar to computing a diagnosis for electrical circuits. Resources can be saved by avoiding areas that possibly also contain obstacles.

AB - We present a method to build a hypothesis on the condition of the environment in which a robotic multi-agent team moves. Initially the robots have a default assumption about the conditions of the floor and on how moving under these condition works. For certain parts of the environment however, the default assumption may be wrong and moving around does not work in the expected way. Now the robotic team builds a hypothesis on the conditions of the yet unvisited part of the environment in a way similar to computing a diagnosis for electrical circuits. Resources can be saved by avoiding areas that possibly also contain obstacles.

UR - http://www.scopus.com/inward/record.url?scp=84943328554&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-25940-4_47

DO - 10.1007/978-3-540-25940-4_47

M3 - Conference Paper

AN - SCOPUS:84943328554

SN - 3540224432

SN - 9783540224433

T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

SP - 518

EP - 525

BT - RoboCup 2003

A2 - Polani, Daniel

A2 - Browning, Brett

A2 - Bonarini, Andrea

A2 - Yoshida, Kazuo

PB - Springer Verlag

T2 - 7th Robot World Cup Soccer and Rescue Competitions and Conferences, RoboCup 2003

Y2 - 2 July 2003 through 11 July 2003

ER -

Obst O. Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge. In Polani D, Browning B, Bonarini A, Yoshida K, editors, RoboCup 2003: Robot Soccer World Cup VII. Springer Verlag. 2004. p. 518-525. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)). doi: 10.1007/978-3-540-25940-4_47

Using model-based diagnosis to build hypotheses about spatial environments a response to a technical challenge

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this