Papers
9
Total Citations
155
H-Index
5
About
Oliver Birbach is a leading researcher in humanoid robotics, with a focus on realtime perception, multi-sensor calibration, and autonomous manipulation. His work centers on enabling robots to interact dynamically with their environment, particularly through tasks like catching flying balls—a challenge that integrates computer vision, state estimation, and kinematic control. Birbach’s most cited paper (48 citations) presents a realtime perception system for catching flying balls with DLR’s humanoid Rollin’ Justin, using a two-staged approach combining circle detection and multiple hypothesis tracking. He has also made significant contributions to SLAM and sensor calibration, as seen in his 41-citation paper on manifold-based graph optimization for multi-sensor systems, and his 25-citation work on automatic calibration of a humanoid’s upper body, including cameras, Kinect, and IMU sensors. These contributions are critical for complex manipulation tasks requiring precise sensor interplay. Birbach’s research has practical impact in entertainment robotics and autonomous systems, with notable achievements in developing self-contained calibration procedures that eliminate external tools. His work has garnered over 150 total citations, reflecting its influence in advancing realtime robotic perception and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1Realtime perception for catching a flying ball with a mobile humanoid48 citations · 2011
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- 4On task-oriented criteria for configurations selection in robot calibration19 citations · 2013
- 5An Entertainment Robot for Playing Interactive Ball Games6 citations · 2014
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- 7Five Years of SSL-Vision – Impact and Development4 citations · 2014
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