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Building Local Maps in Surgical Robotics

Title data

Stolka, Philipp J. ; Henrich, Dominik:
Building Local Maps in Surgical Robotics.
In: IEEE/RSJ International Conference on Intelligent Robots and Systems. - Edmonton, AB, Canada , 2005 . - pp. 1209-1216
DOI: https://doi.org/10.1109/IROS.2005.1545438

Project information

Project title:
Project's official title
Project's id
RONAF
No information

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
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: 27 Feb 2025 12:57
Last Modified: 27 Feb 2025 12:57
URI: https://eref.uni-bayreuth.de/id/eprint/92583