Jan-Hendrik Worch

Research Staff

Tel: –49 -421 218 64039
Fax: –49 -421 218 64047
Room: TAB 1.57
Mail: jworch(at)cs[dot]uni-bremen[dot]de


Jan-Hendrik Worch is a doctoral student at the Institute for Artificial Intelligence, University Bremen. He studied computer science at University of Bremen and obtained his Diplom degree with distinction (equiv. M.Eng.) in 2011. His main research is computer vision and robot perception where he especially focuses on understanding and interpretation of human activities.


Journal Articles and Book Chapters
[1] Jan-Hendrik Worch, Ferenc Bálint-Benczédi, Michael Beetz, "Perception for Everyday Human Robot Interaction", In KI - Künstliche Intelligenz, Springer Berlin-Heidelberg, vol. 30, no. 1, pp. 21-27, 2015. [bib] [pdf] [doi]
[2] Michael Beetz, Ferenc Bálint-Benczédi, Nico Blodow, Christian Kerl, Zoltán-Csaba Márton, Daniel Nyga, Florian Seidel, Thiemo Wiedemeyer, Jan-Hendrik Worch, "RoboSherlock: Unstructured Information Processing Framework for Robotic Perception", In Handling Uncertainty and Networked Structure in Robot Control, Springer International Publishing, Cham, pp. 181-208, 2015. [bib] [pdf] [doi]
[3] Jan-Hendrik Worch, Björn Gottfried, "Choosing Shape Features by means of Genetic Algorithms for Glyph-clustering of Historical Documents", In International Journal of Computer Applications, vol. 102, no. 3, pp. 1-6, 2014. [bib]
Conference Papers
[4] Michael Beetz, Daniel Beßler, Jan Winkler, Jan-H. Worch, Ferenc Balint-Benczedi, Georg Bartels, Aude Billard, Asil K. Bozcuoglu, Zhou Fang, Nadia Figueroa, Andrei Haidu, Hagen Langer, Alexis Maldonado, Ana-Lucia Pais, Moritz. Tenorth, Thiemo Wiedemeyer, "Open Robotics Research Using Web-based Knowledge Services", In International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016. [bib] [pdf]
[5] Michael Beetz, Georg Bartels, Alin Albu-Schäffer, Ferenc Bálint-Benczédi, Rico Belder, Daniel Beßler, Sami Haddadin, Alexis Maldonado, Nico Mansfeld, Thiemo Wiedemeyer, Roman Weitschat, Jan-Hendrik Worch, "Robotic Agents Capable of Natural and Safe Physical Interaction with Human Co-workers", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015. [bib] [pdf]
[6] Jan-Hendrik Worch, Mathias Lawo, Björn Gottfried, "Glyph Spotting for Mediaeval Handwritings by Template Matching", In Proceedings of the 2012 ACM Symposium on Document Engineering, ACM, New York, NY, USA, pp. 213-216, 2012. [bib] [pdf] [doi]
Workshop Papers
[7] Björn Gottfried, Marius Wegner, Jan-Hendrik Worch, Mathias Lawo, "Diptychon: A transcription assistant system for the separation of glyphs in medieval manuscript texts", In 20th SAOT Workshop on Automatic Pattern Recognition and Historical Document Analysis, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, German, 2013. [bib]
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