By the same authors

Testing Autonomous Robot Control Software Using Procedural Content Generation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Testing Autonomous Robot Control Software Using Procedural Content Generation. / Arnold, James; Alexander, Rob.

Computer Safety, Reliability, and Security. Vol. 8153 LNCS Springer, 2013. p. 33-44 (Lecture Notes in Computer Science; Vol. 8153).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Arnold, J & Alexander, R 2013, Testing Autonomous Robot Control Software Using Procedural Content Generation. in Computer Safety, Reliability, and Security. vol. 8153 LNCS, Lecture Notes in Computer Science, vol. 8153, Springer, pp. 33-44, 32nd International Conference on Computer Safety, Reliability and Security (SAFECOMP 2013), Toulouse, France, 24/09/13. https://doi.org/10.1007/978-3-642-40793-2_4

APA

Arnold, J., & Alexander, R. (2013). Testing Autonomous Robot Control Software Using Procedural Content Generation. In Computer Safety, Reliability, and Security (Vol. 8153 LNCS, pp. 33-44). (Lecture Notes in Computer Science; Vol. 8153). Springer. https://doi.org/10.1007/978-3-642-40793-2_4

Vancouver

Arnold J, Alexander R. Testing Autonomous Robot Control Software Using Procedural Content Generation. In Computer Safety, Reliability, and Security. Vol. 8153 LNCS. Springer. 2013. p. 33-44. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-40793-2_4

Author

Arnold, James ; Alexander, Rob. / Testing Autonomous Robot Control Software Using Procedural Content Generation. Computer Safety, Reliability, and Security. Vol. 8153 LNCS Springer, 2013. pp. 33-44 (Lecture Notes in Computer Science).

Bibtex - Download

@inproceedings{b900dd21077f4390981d51de45c3df75,
title = "Testing Autonomous Robot Control Software Using Procedural Content Generation",
abstract = "We present a novel approach for reducing manual effort when testing autonomous robot control algorithms. We use procedural content generation, as developed for the film and video game industries, to create a diverse range of test situations. We execute these in the Player/Stage robot simulator and automatically rate them for their safety significance using an event-based scoring system. Situations exhibiting dangerous behaviour will score highly, and are thus flagged for the attention of a safety engineer. This process removes the time-consuming tasks of hand-crafting and monitoring situations while testing an autonomous robot control algorithm. We present a case study of the proposed approach – we generated 500 randomised situations, and our prototype tool simulated and rated them. We have analysed the three highest rated situations in depth, and this analysis revealed weaknesses in the smoothed nearness-diagram control algorithm.",
author = "James Arnold and Rob Alexander",
note = "{\textcopyright} 2013, Springer-Verlag Berlin Heidelberg. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details.; 32nd International Conference on Computer Safety, Reliability and Security (SAFECOMP 2013) ; Conference date: 24-09-2013 Through 27-09-2013",
year = "2013",
doi = "10.1007/978-3-642-40793-2_4",
language = "English",
isbn = "978-3-642-40793-2",
volume = "8153 LNCS",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "33--44",
booktitle = "Computer Safety, Reliability, and Security",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Testing Autonomous Robot Control Software Using Procedural Content Generation

AU - Arnold, James

AU - Alexander, Rob

N1 - © 2013, Springer-Verlag Berlin Heidelberg. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

PY - 2013

Y1 - 2013

N2 - We present a novel approach for reducing manual effort when testing autonomous robot control algorithms. We use procedural content generation, as developed for the film and video game industries, to create a diverse range of test situations. We execute these in the Player/Stage robot simulator and automatically rate them for their safety significance using an event-based scoring system. Situations exhibiting dangerous behaviour will score highly, and are thus flagged for the attention of a safety engineer. This process removes the time-consuming tasks of hand-crafting and monitoring situations while testing an autonomous robot control algorithm. We present a case study of the proposed approach – we generated 500 randomised situations, and our prototype tool simulated and rated them. We have analysed the three highest rated situations in depth, and this analysis revealed weaknesses in the smoothed nearness-diagram control algorithm.

AB - We present a novel approach for reducing manual effort when testing autonomous robot control algorithms. We use procedural content generation, as developed for the film and video game industries, to create a diverse range of test situations. We execute these in the Player/Stage robot simulator and automatically rate them for their safety significance using an event-based scoring system. Situations exhibiting dangerous behaviour will score highly, and are thus flagged for the attention of a safety engineer. This process removes the time-consuming tasks of hand-crafting and monitoring situations while testing an autonomous robot control algorithm. We present a case study of the proposed approach – we generated 500 randomised situations, and our prototype tool simulated and rated them. We have analysed the three highest rated situations in depth, and this analysis revealed weaknesses in the smoothed nearness-diagram control algorithm.

U2 - 10.1007/978-3-642-40793-2_4

DO - 10.1007/978-3-642-40793-2_4

M3 - Conference contribution

SN - 978-3-642-40793-2

VL - 8153 LNCS

T3 - Lecture Notes in Computer Science

SP - 33

EP - 44

BT - Computer Safety, Reliability, and Security

PB - Springer

T2 - 32nd International Conference on Computer Safety, Reliability and Security (SAFECOMP 2013)

Y2 - 24 September 2013 through 27 September 2013

ER -