Robert Sablatnig

About

Robert Sablatnig is a computer vision and robotics researcher whose work has made significant contributions to the field of autonomous mobile robot localization. His research focuses primarily on vision-based self-localization systems, particularly landmark recognition and stereo vision techniques applied to mobile and soccer robots operating in dynamic environments. Sablatnig's most impactful contributions center on developing robust localization frameworks that leverage naturally occurring environmental features rather than artificial navigational aids — a technically demanding constraint that makes his work especially practical. His landmark-based localization papers from 2006 collectively garnered 54 citations, establishing foundational methods for global self-localization in known environments. Complementing this, his 2008 work on stereo vision-based localization (14 citations) demonstrated how depth perception could further enhance positional accuracy for autonomous systems. Beyond localization, Sablatnig extended his research into sensor fusion — integrating stereo vision with gyroscopes, accelerometers, and digital encoders — as well as real-time object detection for biped robots like YABIRO. His hybrid localization approaches and uncertainty propagation analyses reflect a rigorous, systems-level understanding of robotics challenges. With research spanning embedded systems, line-feature extraction, and probabilistic modeling, Sablatnig's body of work represents a comprehensive contribution to intelligent autonomous robot navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   Single landmark based self-localization of mobile robots

   27 citations · 2006
2. 2
   Landmark Based Global Self-localization of Mobile Soccer Robots

   27 citations · 2006
3. 3
   Line-based landmark recognition for self-localization of soccer robots

   17 citations · 2005
4. 4
   Stereo Vision Based Self-localization of Autonomous Mobile Robots

   14 citations · 2008
5. 5
   Location tracker for a mobile robot

   9 citations · 2007
6. 6
   Active Single Landmark Based Global Localization of Autonomous Mobile Robots

   8 citations · 2006
7. 7
   A hybrid approach towards vision based self-localization of autonomous mobile robots

   5 citations · 2007
8. 8
   Embedded Real-Time Ball Detection Unit for the YABIRO Biped Robot

   4 citations · 2006
9. 9
   Memory Efficient Vision Based Line Feature Extraction for Tiny Mobile Robots

   2 citations · 2009
10. 10
    Propagation of Uncertainty in Landmark Based Self-localization of Autonomous Mobile Robots

    2 citations · 2007

Key Collaborators

Contact & Links