Found 774 results
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Stahs T..  1988.  Automatisierung mit Industrierobotern. :257-270.
Stahs T., Wahl F..  1989.  Polyhedral Object Recognition by Hough Space Analysis. Geobild. 51:165-172.
Stahs T., Wahl F..  1992.  Recognition of Polyhedral Objects under Perspective View. Computers and Artificial Intelligence. 11:155–172.
Stahs T., Wahl F..  1993.  Objekterkennung und Lagebestimmung mit einem 3D-Robotersensor. Tagungsband des 3. Symposiums Bildverarbeitung der Technischen Akademie Esslingen.
Stahs T., Wahl F..  1990.  Fast and Robust Range Data Acquisition in a Low-Cost Environment. Proceedings der ISPRS Commission V Konferenz Close Range Photogrammetry Meets Machine Vision, Zürich. :496-503.
Stahs T., Wahl F..  1990.  Oberflächenvermessung mit einem 3D-Robotsensor. Zeitschrift für Photogrammetrie und Fererkundung (ZPF). :190-202.
Stahs T..  1995.  Ein aktives 3D-Robotersensorensystem auf der Grundlage eines verallgemeinerten Ansatzes zur Erstellung modellbasierter Objekterkennungsverfahren. Berichte aus der Automatisierungstechnik.
Stahs T., Wahl F..  1992.  Object Recognition and Pose Estimation with a Fast and Versatile 3D Robot Sensor. Proceedings of the 11th International Conference on Pattern Recognition. :684–687.
Stahs T., Wahl F..  1994.  Objekterkennung und Lagebestimmung mit einem 3D-Robotsensor. Informationstechnik und Technische Informatik (it+ti). 1/94:39–46.
Stahs T., Wahl F..  1989.  Three-Dimensional Range Acquisition of Line-Like Objects. Proceedings of the 3rd International Conference of Image Processingand its Applications University of Warwick, UK. :14-18.
Stahs T., Wahl F..  1992.  Fast and Versatile Range Data Acquisition in a Robot Work Cell. IEEE International Conference on Intelligent Robots and Systems. :1169–1174.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2010.  Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2011.  Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
Steil JJ.  2011.  What do humanoid robots offer to experimental psychology ? Connectionist models of neurocognition and emergent behavior : from theory to applications ; proceedings of the 12th Neural Computation and Psychology Workshop, Birkbeck, University of London, 8 - 10 April 2010. 20:361–371.
Steil JJ, Ritter H.  1998.  Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. Proc. Int. ICSC/IFAC Symposium on Neural Computation. :519–525.
Steil JJ.  2006.  Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
Steil JJ, Röthling F, Haschke R, Ritter H.  2004.  Situated robot learning for multi-modal instruction and imitation of grasping. Robotics and Autonomous Systems. 47:129–141.
Steil JJ.  2000.  Robust control in closed loops realised by fast signal transmission of infinite gain neurons. Proc. Int. Conf. Artificial Neural Networks. 1:260–266.
Steil JJ, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Steil JJ.  1999.  Input-Output Stability of Recurrent Neural Networks.
Steil JJ, Sagerer G, Ritter H, Körner E.  2008.  Humans and Humanoids - Perspectives on Research in Cognition and Robotics. KI - Künstliche Intelligenz. 4:33–36.
Steil JJ, Kõiva R, Sperduti A.  2006.  Unsupervised Clustering of Continuous Trajectories of Kinematic Trees with SOM-SD. Proc. European Symposium on Artificial Neural Networks.
Steil JJ, Finas D, Beck S, Manzeschke A, Haux R.  2019.  Robotic Systems in Operating Theatres: New Forms of Team-Machine Interaction in Health Care - On Challenges for Health Information Systems on Adequately Considering Hybrid Action of Humans and Machines. Methods of Information in Medicine. 58:e14-e25.
Steil JJ, Heidemann G, Jockusch J, Rae R, Jungclaus N, Ritter H.  2001.  Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.