Mobile Robots



The exploration of other planets is an important domain for mobile robotic systems. On Earth, mobile robots can help for search and rescue tasks, by quickly delivering images and maps for assessing critical situations without putting humans into danger. Common in both domains is the need to move and navigate the systems in unknown, rough environments without relying on external infrastructure. In space exploration, some level of local autonomy is required for coping with high communication latencies. In disaster scenarios, local autonomy relieves rescue workers from low level control. Furthermore, using several cooperating systems supports efficiency and fast response.

We are working on multicopers, rovers and crawlers for these scenarios. All systems use stereo vision and Inertial Measurement Units (IMUs) as sensors, create 2.5D or 3D maps and perform on-board path planning and navigation. Thus, our flying as well as ground based systems are capable of autonomous navigation to user defined target points, through unknown, rough terrain and  without using GPS.

Ongoing work includes the cooperation of multiple autonomous robots. The aims are to complement skills in a heterogeneous team (e.g. driving and flying) and to increase robustness and reduce mission time using a homogeneous team. In any case, each mobile system is able to fulfill its job on its own, without depending on other systems, a central station, communication link, etc.

Further Information

Selected References

  • Christoph Brand, Martin J. Schuster, Heiko Hirschmüller and Michael Suppa (2014), Stereo-Vision Based Obstacle Mapping for Indoor/Outdoor SLAM, accepted for the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2014, Chicago, Illinois, USA.
  • Korbinian Schmid, Philipp Lutz, Teodor Tomic, Elmar Mair and Heiko Hirschmüller (2014), Autonomous Vision-based Micro Air Vehicle for Indoor and Outdoor Navigation, Journal of Field Robotics, Special Issue on Low Altitude Flight of UAVs, Volume 31, Issue 4, July / August 2014, pp. 537-570.
  • Korbinian Schmid, Teodor Tomic, Felix Ruess, Heiko Hirschmüller and Michael Suppa (2013), Stereo Vision based indoor/outdoor Navigation for Flying Robots, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2013, Tokyo Japan, Robocup Best Paper Award.
  • Annett Stelzer, Heiko Hirschmüller and Martin Görner (2012), Stereo-Vision-Based Navigation of a Six-Legged Walking Robot in Unknown Rough Terrain, in the International Journal of Robotics Research, Special Issue on Robot Vision, Volume 31, Issue 4, pp. 381-402.

Dr. Heiko Hirschmüller
German Aerospace Center

Institute of Robotics and Mechatronics
, Perception and Cognition
Tel: +49 8153 28-3316

Fax: +49 8153 28-1134

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