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Using Maps from Local Sensors for Volume-Removing Tools

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

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
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