Title data
Deiterding, Jan ; Henrich, Dominik:
Probability-Based Robot Search Paths.
In: Kröger, Torsten ; Wahl, Friedrich M.
(ed.):
Advances in Robotics Research : Theory, Implementation, Application. -
Berlin
: Springer
,
2009
. - pp. 31-42
ISBN 978-3-642-01213-6
DOI: https://doi.org/10.1007/978-3-642-01213-6_4
Related URLs
Project information
Project title: |
Project's official title Project's id A-BOT No information |
---|
Abstract in another language
The aim of this work is to show that robots can be improved using knowledge present or gained in previous executions of the task. Here, this knowledge is used to create search paths tailored to the problem at hand. We describe two approaches to create such paths automatically which enable robots to find an unknown position faster than standard paths. The solution presented here is not limited to the robotic domain, but can also be used for other purposes such as searching for injured persons after accidents. Our approach is evaluated through simulations and we show that these paths perform adequately well or even better than standard paths.
Further data
Item Type: | Article in a book |
---|---|
Refereed: | Yes |
Keywords: | adaptive systems; assembly; Industrial robots; motion planning; on-line algorithms; search algorithms |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 24 Feb 2025 08:43 |
Last Modified: | 24 Mar 2025 13:53 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92532 |