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About

Patrick Ruhkamp is a computer vision and robotics researcher whose work spans 3D object perception, medical imaging, and autonomous manipulation. His most impactful contribution is the **HouseCat6D** dataset (2024, 26 citations), a large-scale, multi-modal resource for category-level 6D object pose estimation. This dataset addresses a critical gap in the field—providing high-quality annotations and realistic household scenarios that enable more practical, generalizable pose estimation for robotics and augmented reality applications. Ruhkamp has also advanced **markerless inside-out tracking for 3D ultrasound compounding** (2018, 17 citations), a technique that overcomes line-of-sight limitations in interventional medical procedures, and contributed to **remote robotic competition platforms** (2022) that enable skill assessment across distributed sites. His work on the **Robothon 2021 Grand Challenge** (2022) tackled the difficult problem of autonomous assembly requiring both precise positioning and tactile interaction. With a research portfolio that bridges perception, medical tracking, and robotic manipulation, Ruhkamp is helping to move computer vision from controlled lab settings toward robust, real-world deployment in homes, hospitals, and factories.