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Michael Ruhnke


Technische Fakultät
Albert-Ludwigs-Universität Freiburg
Autonome Intelligente Systeme

Georges-Köhler-Allee Geb. 079
(Ground floor, room 1019)
79110 Freiburg im Breisgau
Deutschland
Phone: +49 (0) 761-203-8013
Fax: +49 (0) 761-203-8007
ruhnke /a|t\ informatik.uni-freiburg.de
Welcome,
currently I'm a PhD student in the Autonomous Intelligent Systems Group headed by Wolfram Burgard.
My diploma thesis was about modelling objects based on 3D range scans. My recent research focuses
on object and environment modelling.

Videos

Sparse Surface Adjustment on Kinect Data



Sparse Surface Adjustment 2D on Freiburg079 Dataset


The raw log data was provided by Cyrill Stachniss.

Software Releases

Sparse Surface Adjustment software release on github (LGPL)

Publications

2013

Compact RGBD Surface Models Based on Sparse Coding by M. Ruhnke, L. Bo, D. Fox, and W. Burgard. In: Proc.~of the National Conference on Artificial Intelligence (AAAI), 2013. To appear. [Details]. A Navigation System for Robots Operating in Crowded Urban Environments. by R. Kümmerle, M. Ruhnke, B. Steder, C. Stachniss, and W. Burgard. In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2013. To appear. [Details].

2012

Highly Accurate 3D Surface Models by Sparse Surface Adjustment. by M. Ruhnke, R. Kümmerle, G. Grisetti and W. Burgard. In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2012. [Details]. 3D Environment Modeling Based on Surface Primitives. by M. Ruhnke, B. Steder,, G. Grisetti and W. Burgard. In: Towards Service Robots for Everyday Environments, 2012. [Details].

2011

Range Sensor Based Model Construction by Sparse Surface Adjustment. by M. Ruhnke, R. Kümmerle, G. Grisetti and W. Burgard. In Proc. of the IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO).
Half Moon Bay, CA, USA, October 2011. [Details]. Place Recognition in 3D Scans Using a Combination of Bag of Words and Point Feature based Relative Pose Estimation. by B. Steder, M. Ruhnke, S. Grzonka, and W. Burgard. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2011. [Details]. Highly Accurate Maximum Likelihood Laser Mapping by Jointly Optimizing Laser Points and Robot Poses by M. Ruhnke, R. Kümmerle, G. Grisetti, W. Burgard. In: Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2011. [Details] [Datasets]

2010

Unsupervised Learning of Compact 3D Models Based on the Detection of Recurrent Structures by M. Ruhnke, B. Steder, G. Grisetti, W. Burgard. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010. [Details]

2009

On Measuring the Accuracy of SLAM Algorithms. by R. Kümmerle, B. Steder, C. Dornhege, M. Ruhnke, G. Grisetti, C. Stachniss, and A. Kleiner. Journal of Autonomous Robots, 2009. [Details] [Evaluation Software and Datasets] A Comparison of SLAM Algorithms Based on a Graph of Relations by W. Burgard and C. Stachniss and G. Grisetti and B. Steder and R. Kümmerle and C. Dornhege and M. Ruhnke and A. Kleiner and Juan D. Tardós. Proc. of the {IEEE/RSJ} Int. Conf. on Intelligent Robots and Systems (IROS) 2009 [Details] Unsupervised Learning of 3D Object Models from Partial Views by M. Ruhnke, B. Steder, G. Grisetti, W. Burgard. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), Kobe, Japan, 2009. [Details]

2008

Unüberwachtes Lernen von 3D Modellen für nicht stationäre Objekte auf volumetrischen Daten by M. Ruhnke Master Thesis, Albert-Ludwigs-Universität, Institut für Informatik, (Freiburg), 2008. In German. [Details]

2006

RoboCupRescue - Robot League Team RescueRobots Freiburg (Germany) by A. Kleiner, C. Dornhege, R. Kümmerle, M. Ruhnke, B. Steder, B. Nebel, P. Doherty, M. Wzorek, P. Rudol, G. Conte, S. Durante, and D. Lundstrom. In RoboCup 2006 (CDROM Proceedings), Team Description Paper, Rescue Robot League, (Bremen, Germany), 2006. [Details]

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