University of Freiburg / Faculty of Applied Sciences /
Institute for Computer Science / Humanoid Robots / NimbRo / Paper

"NimbRo RS: A Low-Cost Autonomous Humanoid Robot for Multi-Agent Research"

Authors
 
Sven Behnke, Tobias Langner, Jürgen Müller, Holger Neub, Michael Schreiber
Published at

 

Workshop
"Methods and Technology for Empirical Evaluation of Multi-Agent Systems and Multi-robot Teams (MTEE)"
located at the 27th German Conference on Artificial Intelligence
Sep 20-21  2004, Ulm / Germany
Abstract

Due to the lack of commercially available humanoid robots, multi-agent research with real humanoid robots was not feasible so far. While quite a number of research labs construct their own humanoids and it is likely that some advanced humanoid robots will be commercially available in the near future, the high costs involved will make multi-robot experiments at least difficult.

For these reasons we started with a low-cost commercial off-the-shelf humanoid robot, RoboSapien (developed for the toy market), and modified it for the purposes of robotics research. We added programmable computing power and a vision sensor in the form of a Pocket PC and a CMOS camera attached to it. Image processing and behavior control are implemented onboard the robot. The Pocket PC communicates with the robot base via infrared and can talk to other robots via wireless LAN.

The readily available low-cost hardware makes it possible to carry out multi-robot experiments. We report first results obtained with this humanoid platform at the 8th International RoboCup in Lisbon.

BibTeX @inproceedings{behnke04b,
  author = {Sven Behnke and Tobias Langner and J\"urgen M\"uller
            and Holger Neub and Michael Schreiber},
  title  = {NimbRo RS: A Low-Cost Autonomous Humanoid Robot for
            Multi-Agent Research},
  booktitle = {Workshop Proceedings: Methods and Technology for
               Empirical Evaluation of Multi-Agent Systems and
               Multi-robot Teams},
  address = {27th German Conference on Artificial Intelligence,
             Ulm},
  month = {September},
  year = {2004}
}
Paper [.pdf, 1.4 MB]