Kurt Schwenk

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About

Kurt Schwenk is a leading researcher in space avionics and autonomous spacecraft navigation, with a focus on scalable computing and vision-based relative navigation. His most cited work introduces ScOSA (Scalable On-Board Computing for Space Avionics), a groundbreaking architecture that bridges the gap between the high performance demanded by modern spacecraft and the reliability constraints of space-qualified hardware. By integrating robust, certified components with high-performance commercial off-the-shelf systems, Schwenk’s approach enables unprecedented computational capabilities for future space missions. In parallel, his 2023 paper on domain randomisation and CNN-based keypoint regression tackles the critical challenge of relative navigation with uncooperative, finite-symmetric spacecraft targets using monocular cameras. This work is vital for on-orbit servicing, debris removal, and formation flying, offering a robust method for pose initialisation without navigational aids. With over 16 citations across his key publications, Schwenk’s contributions are shaping the next generation of autonomous, high-performance space systems, making him a pivotal figure in advancing both onboard computing and machine vision for space exploration.