Manuel Stoiber
Papers
3
Total Citations
40
H-Index
2
About
Manuel Stoiber is a leading researcher in computer vision and robotics, specializing in 6DoF (six degrees of freedom) object pose estimation and tracking. His work bridges the gap between rigid objects and complex kinematic structures, enabling precise, model-based 3D tracking in challenging real-world environments. Stoiber’s key contributions include a novel technique for estimating 6D object pose from approximate 3D models—critical for applications like orbital robotics, where exact geometry is unavailable. His multi-modality tracker, which fuses visual appearance and geometric cues, has been cited 18 times for advancing robust object tracking in robotic manipulation. Notably, Stoiber introduced a flexible multi-body tracking framework that extends beyond rigid objects to handle articulated systems and kinematic structures, a significant leap forward for industrial and space robotics. With over 40 citations across his most influential works, his research is shaping the future of autonomous manipulation and orbital servicing. His achievements demonstrate a rare ability to solve practical, high-stakes problems where precision and adaptability are paramount.
Research Focus
Key Achievements
Top Papers
- 16D Object Pose Estimation from Approximate 3D Models for Orbital Robotics20 citations · 2023
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