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Author:
Dornhege, Christian (University of Freiburg) (Foundations of Artificial Intelligence)
Kleiner, Alexander (University of Freiburg) (Foundations of Artificial Intelligence)
Kümmerle, Rainer (University of Freiburg) (Foundations of Artificial Intelligence)
Steder, Bastian (University of Freiburg) (Foundations of Artificial Intelligence)
Burgard, Wolfram (University of Freiburg) (Autonomous Intelligent Systems)
Nebel, Bernhard (University of Freiburg) (Foundations of Artificial Intelligence)
Title:
SP-Freiburg TechX Challenge Technical Paper
Publication type:
Conference paper (Other academic)
Language:
English
In:
TechX Challenge
Year of publ.:
2008
URI:
urn:nbn:se:liu:diva-72537
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72537
Subject category:
Robotics
Abstract(en) :

In this paper we introduce our team’s approach to the TechX Challenge, which is based on experiences gathered at RoboCup during the last seven years and recent efforts in robotic research. We particularly focus on Multi-Level Surface (MLS) maps based localization, behavior map based path planning and obstacle negotiation, robot motion planning using a probabilistic roadmap planner, vision and 3D laser supported target detection, which all will be more detailed in the following sections.

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Finalist
Available from:
2011-11-28
Created:
2011-11-28
Last updated:
2011-12-07
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