Title data
Stolka, Philipp J. ; Henrich, Dominik:
Using Maps from Local Sensors for Volume-Removing Tools.
In:
IEEE/RSJ International Conference on Intelligent Robots and Systems. -
Diego, CA, USA
,
2007
. - pp. 195-201
DOI: https://doi.org/10.1109/IROS.2007.4399061
Project information
Project title: |
Project's official title Project's id RONAF No information |
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Abstract in another language
Currently industrial robotic systems employ almost exclusively global maps for navigation purposes, if any. Additional information - intra-process, spatial, current, and persistent sensor data - is useful to cope with uncertainty, measurement errors, and incompleteness of data. We propose to augment robot world models by using local sensors (which provide data from a local epsiv-environment) and build precise maps from local sensors, with force and audio classification in orthopedics applications with a medical robot system (RONAF) as an example. Improving precision of this map-building is presented both for data localisation and data insertion.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | mastoid; mastoidectomy; motion planning; on-line algorithms; otorhinolaryngological surgery; path planning; raster graphics; seed filling; Simulation; trajectory planning |
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 |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 26 Feb 2025 12:50 |
Last Modified: | 26 Feb 2025 12:50 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92556 |