Title Author Year Keyword Project  include Videos
or and


Building Local Maps in Surgical Robotics
Philipp 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


  TITLE             = "Building Local Maps in Surgical Robotics",
  AUTHOR            = "Stolka, Philipp and Henrich, Dominik",
  YEAR              = "2005",
  JOURNAL           = "IROS 2005, Edmonton, Alberta/Canada",
  HOWPUBLISHED      = "\url{}",


Filename   Size   Language   Format   710.6K   english   PDF   download preprint

© LS AI3 Uni-Bayreuth