Stefan M. Holzer
Papers
4
Total Citations
1,965
H-Index
4
About
Stefan M. Holzer is a leading researcher in computer vision and robotics, renowned for his pioneering work in 3D object detection and autonomous systems. His key contributions center on enabling robots to perceive and interact with their environments, particularly through texture-less 3D object recognition in cluttered scenes—a fundamental challenge for industrial and service robotics. His landmark paper, "Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes," has garnered over 1,190 citations, underscoring its transformative impact on the field. Holzer also advanced real-time scene understanding with his work on plane segmentation using RGB-D cameras (275 citations), which is critical for navigation and manipulation. Notably, his research on the PR2 robot for autonomous butlers (246 citations) demonstrated practical applications like drink serving, highlighting the integration of perception, planning, and execution. Through these contributions, Holzer has shaped modern approaches to robust, real-time 3D perception, bridging the gap between academic research and real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real-Time Plane Segmentation Using RGB-D Cameras275 citations · 2012
- 3
- 4Towards autonomous robotic butlers: Lessons learned with the PR2246 citations · 2011