Back to overview page

Search parameters:

Year : 2008

Search Result

[1] Kiattisin Kanjanawanishkul and Andreas Zell. Distributed model predictive control for coordinated path following control of omnidirectional mobile robots. In IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), pages 3120-3125, Singapore, October 12-15 2008. IEEE. [ pdf ]
[2] Kiattisin Kanjanawanishkul and Andreas Zell. A model-predictive approach to formation control of omnidirectional mobile robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), pages 2771-2776, Nice, France, September 22-26 2008. IEEE. [ pdf ]
[3] Philipp Vorst, Sebastian Schneegans, Bin Yang, and Andreas Zell. Self-localization with RFID snapshots in densely tagged environments. In Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), pages 1353-1358, Nice, France, September 22-26 2008. [ DOI | details | pdf ]
[4] Volker Gundelach, Michael de Paly, and Dieter Eisenburger. Recognition of patterns from geological structures in radar signals with the neuronal network simulator jnns. In Ultra-Wideband, 2008. ICUWB 2008. IEEE International Conference on, volume 3, pages 167 -170, September 2008. [ DOI ]
[5] Marcel Kronfeld, Christian Weiss, and Andreas Zell. A dynamic swarm for visual location tracking. In 6th International Conference on Ant Colony Optimization and Swarm Intelligence (ANTS 2008), pages 203-210, Brussels, Belgium, September 2008. [ details | pdf ]
[6] Kiattisin Kanjanawanishkul, Xiang Li, and Andreas Zell. Nonlinear model predictive control of omnidirectional mobile robot formations. In Rüdiger Dillmann and Wolfram Burgard, editors, 10th International Conference on Intelligent Autonomous Systems (IAS 2008), pages 41-48, Baden-Baden, Germany, July 23-25 2008. [ pdf ]
[7] Xiang Li, Kiattisin Kanjanawanishkul, and Andreas Zell. Nonlinear model predictive control of an omnidirectional mobile robot. In 10th International Conference on Intelligent Autonomous Systems (IAS 2008), pages 92-99, Baden-Baden, Germany, July 23-25 2008. IOS Press. [ pdf ]
[8] Timo Schairer, Christian Weiss, Philipp Vorst, Jürgen Sommer, Christian Hoene, Wolfgang Rosenstiel, Wolfgang Straßer, Andreas Zell, Georg Carle, Patrick Schneider, and Anette Weisbecker. Integrated scenario for machine-aided inventory using ambient sensors. In 4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008), number 209 in ITG-Fachbericht, Freiburg, Germany, June 10-11 2008. VDE Verlag. [ details | pdf ]
[9] Philipp Vorst, Jürgen Sommer, Christian Hoene, Patrick Schneider, Christian Weiss, Timo Schairer, Wolfgang Rosenstiel, Andreas Zell, and Georg Carle. Indoor positioning via three different RF technologies. In 4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008), number 209 in ITG-Fachbericht, Freiburg, Germany, June 10-11 2008. VDE Verlag. [ details | pdf ]
[10] Andreas Dräger, Nadine Hassis, Jochen Supper, Adrian Schröder, and Andreas Zell. SBMLsqueezer: a CellDesigner plug-in to generate kinetic rate equations for biochemical networks. BMC Systems Biology, 2(1):39, April 2008. [ DOI | details | link | pdf ]
[11] Dierk Wanke, Joachim Kilian, Jochen Supper, Kenneth W. Berendzen, Andreas Zell, and Klaus Harter. The analysis of gene expression and cis-regulatory elements in large microarray expression datasets. In Quantum Bio-Informatics: From Quantum Information to Bio-Informatics, volume 21, pages 294-314. World Scientific Pub Co Inc., March 2008. [ details | link ]
[12] Philipp Vorst and Andreas Zell. Semi-autonomous learning of an RFID sensor model for mobile robot self-localization. In Bruno Siciliano, Oussama Khatib, and Frans Groen, editors, European Robotics Symposium 2008, volume 44/2008 of Springer Tracts in Advanced Robotics, pages 273-282. Springer Berlin/Heidelberg, February 2008. [ DOI | details | pdf ]
[13] Majid Beigi and Andreas Zell. A kernel-based method for local pattern extraction in random process signals. Neurocomputing, 71:1238-1247, 2008. [ link ]
[14] Majid Beigi and Andreas Zell. A boosting approach for object classification in biosonar based robot navigation. In IEEE International Conference on Robotics and Automation (ICRA2008), pages 3270-3275, 2008. [ pdf ]
[15] Majid Beigi and Andreas Zell. FIR-based classifiers for animal behavior classification. In International Joint Conference on Neural Networks (IJCNN2008), pages 977-983, 2008. [ pdf ]
[16] D. Bullinger, Holger Fröhlich, F. Klaus, H. Neubauer, A. Frickenschmidt, Carsten Henneges, Andreas Zell, S. Laufer, C. H. Gleiter, H. Liebich, and B. Kammerer. Bioinformatical evaluation of modified nucleosides as biomedical markers in diagnosis of breast cancer. Analytica Chimica Acta, 618(1):29-34, 2008. [ link ]
[17] A. Frickenschmidt, Holger Fröhlich, D. Bullinger, Andreas Zell, S. Laufer, C. H. Gleiter, H. Liebich, and B. Kammerer. Metabonomics in cancer diagnosis: mass spectrometry-based profiling of urinary nucleosides from breast cancer patients. Biomarkers, 13(4):435-449, 2008. [ link ]
[18] Tim Häring, Michael de Paly, Carsten Henneges, and Volker Hochschild. Modelling tsunami vulnerability. the development of a tsunami inundation model with machine learning tools. In Digital Earth Summit on Geoinformatics 2008: Tools for Global Change Research, pages 182-187, Heidelberg, Germany, 2008. Wichmann.
[19] Marcel Kronfeld. EvA2 Short Documentation. Center for Bioinformatics Tuebingen, University of Tuebingen, Sand 1, 72076 Tübingen, Germany, 2008 edition, 2008. [ link | pdf ]
[20] Xiang Li and Andreas Zell. Nonlinear predictive control of an omnidirectional robot dribbling a rolling ball. In IEEE International Conference on Robotics and Automation (ICRA'08), pages 1678-1683, Pasadena, California, 2008. IEEE.
[21] Christian Weiss, Hashem Tamimi, and Andreas Zell. A combination of vision-and vibration-based terrain classification. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), pages 2204-2209, Nice, France, 2008.
[22] Christian Weiss and Andreas Zell. Novelty detection and online learning for vibration-based terrain classification. In 10th International Conference on Intelligent Autonomous Systems (IAS 2008), pages 16-25, Baden-Baden, Germany, 2008. [ pdf ]

Export list as BibTeX / Endnote / rich text format (RTF)