Publikationsdatenbank
Publication
Building Local Maps in Surgical RoboticsPhilipp Stolka , Dominik Henrich
Abstract (english)
Currently, robotic systems employ almost exclusively global sensor information for navigation purposes. While a global map facilitates planning, it may have insufficient quality. Especially with autonomous robots, additional information - intra-process, spatial, current, and persistent sensor data - proves necessary to cope with uncertainty, measurement errors, and incompleteness of data.
We aim at augmenting the world model for standard robotic systems by implementing local navigation and map-building based on local sensors (which provide local data without primary location information), with the use of force and audio classification in a medical robot system (RONAF) in orthopedics applications as an example.
Publication data
| Year: | 2005 |
| Publication date: | 02. August 2005 |
| Source: | IROS 2005, Edmonton, Alberta/Canada |
| Project: | RONAF |
| Referrer: | https://www.ai3.uni-bayreuth.de/de/publikationen/resypub/index.php?mode=pub_show&pub_ref=stolka2005a |
BibTeX
@ARTICLE{stolka2005a,
TITLE = "Building Local Maps in Surgical Robotics",
AUTHOR = "Stolka, Philipp and Henrich, Dominik",
YEAR = "2005",
JOURNAL = "IROS 2005, Edmonton, Alberta/Canada",
HOWPUBLISHED = "\url{https://www.ai3.uni-bayreuth.de/de/publikationen/resypub/index.php?mode=pub_show&pub_ref=stolka2005a}",
}
Download
| Filename | Size | Language | Format | ||||
|---|---|---|---|---|---|---|---|
| stolka2005a.Building.Local.Maps.in.Surgical.Robotics.pdf | 710.6K | english | download preprint |