Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (bibtex)
by J. Sturm
Reference:
Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (J. Sturm), PhD thesis, University of Freiburg, 2011. 
Bibtex Entry:
@phdthesis{sturm11phd,
 author = {J. Sturm},
 title = {Approaches to Probabilistic Model Learning for Mobile Manipulation Robots},
 school = {University of Freiburg},
 address = {Germany},
 year = {2011},
 month = {May},
 award = {Received the Artificial Intelligence Dissertation Award 2011 (ECCAI) and the Wolfgang-Genter-Award 2011 (University of Freiburg); Finalist at the Georges-Giralt-Award 2012 (EURON); Selected for the Best Paper Track at IJCAI 2013},
 topic = {articulated-objects,imitation-learning,bodyschema,tactile-sensing},
 keywords = {sturmselection},
}
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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (bibtex)
Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (bibtex)
by J. Sturm
Reference:
Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (J. Sturm), PhD thesis, University of Freiburg, 2011. 
Bibtex Entry:
@phdthesis{sturm11phd,
 author = {J. Sturm},
 title = {Approaches to Probabilistic Model Learning for Mobile Manipulation Robots},
 school = {University of Freiburg},
 address = {Germany},
 year = {2011},
 month = {May},
 award = {Received the Artificial Intelligence Dissertation Award 2011 (ECCAI) and the Wolfgang-Genter-Award 2011 (University of Freiburg); Finalist at the Georges-Giralt-Award 2012 (EURON); Selected for the Best Paper Track at IJCAI 2013},
 topic = {articulated-objects,imitation-learning,bodyschema,tactile-sensing},
 keywords = {sturmselection},
}
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You're viewing the old homepage. The new homepage of Jürgen Sturm is located here: http://jsturm.de.

I am fascinated by the immense progress and application potential of computer vision and robotics research. My motivation is to push the state-of-the-art by developing novel approaches and applying these methods to solve real-world problems. For example, our approach to autonomous quadrocopter flight enables a low-cost quadrocopter to follow its trajectory using a camera as its main sensor while taking a series of images. Our 3D reconstruction algorithm allows to scan persons in 3D and print the acquired model as a small figure. As I see a large potential for commercial applications of such methods, I recently co-founded the university spin-off FabliTec to bring this technology to market.

I am currently working in the following research areas:

RGB-D sensors (Kinect) including visual odometry, SLAM, dense 3D reconstruction, mapping, localization, pose tracking and benchmarking
Quadcopter, including camera-based localization, dense mapping, data fusion, safe navigation and, when all of this works, flying manipulation



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