Dipl.-Ing. Wenjie Yan
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Contact Info |
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| Address: | University of Hamburg Department of Informatics Vogt Koelln Str. 30 22527 Hamburg, Germany |
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| Office: | F-212 | |
| Phone: | +49 40 428 83 2520 | |
| Fax: | +49 40 428 83 2515 | |
| Secretary: | +49 40 428 83 2433 | |
| Email: | yan at informatik.uni-hamburg.de | |
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Projects
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Short Curriculum Vitae
| Since May 2010 | Research Associate of Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany |
| November 2009 | Master degree in mechatronics engineer (German Diplom-Ingenieur), Karlsruhe Institut of Technology, Germany |
| June 2006 | Bachelor degree in mechanical engineer, University of Shanghai for Science and Technology, China |
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Thesis
| Nachbildung eines menschlichen Reflexbogens mittels künstlicher Neuronen Modelle | ||
| Diploma Thesis, Supervisor: Prof. Dr. Georg Bretthauer, Institut für Angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Germany, November 2009 |
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Publications
Albers, A., Yan, W., Frietsch, M. Application of Reinforcement Learning to a two DOF Robot Arm Control. In Katalinic, B., editors, Annals of DAAAM for 2009 & Proceedings of the 20th International DAAAM Symposium, Volume 20, No. 1, ISSN 1726-9679, Vienna, Austria, 2009. |
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Bauer, C., Milighetti, G., Yan, W., Mikut, R., Human-like Reflexes for Robotic Manipulation using Leaky Integrate-and-Fire Neurons. The 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, October 2010. |
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Yan, W., Weber, C., Wermter, S. Person tracking based on a hybrid neural probabilistic model. In Honkela, T., Duch, W., Girolami, M., Kaski, S., editors, Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN 2011), Part II, pp. 365-372, Espoo, Finland, June 2011. |
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Yan, W., Weber, C., Wermter, S. A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera. Ambient Intelligence and Smart Environments, Vol. 3(3), pp. 237-252, 2011. |
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Yan, W., Weber, C., Wermter, S. A Neural Approach for Robot Navigation based on Cognitive Map Learning. 2012 International Joint Conference on Neural Networks (IJCNN2012), pp. 1146-1153, Brisbane, Australia, 2012. IEEE |
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Yan, W. Robot navigation for assisted living. Gerontechnology, 11, p. 356, 2012. |
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Yan, W., Torta, E., van der Pol, D., Meins, N., Weber, C., Cuipers, R.H., Wermter, S. Learning Robot Vision for Assisted Living. In Garcia-Rodriguez, J., Cazorla, M., editors, Robotic Vision: Technologies for Machine Leaning and Vision Applications, ch. 15, pp. 257-280, IGI Global, 2013.
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