Biblio

Found 783 results
Author [ Title(Desc)] 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 
M
Laloni C., Gutsche R., Wahl F..  1992.  Monitoring System with Logical Reasoning for Mobile Robot Guidance. SPIE OE/Technology - Intelligent Robots and Visual Communications (Mobile Robots IV). :361–372.
Hein A., Winkelbach S., Martens B., Wilken O., Eichelberg M., Spehr J., Gietzelt M., Wolf K., Büsching F., Hülsken-Giesler M. et al..  2010.  Monitoring systems for the support of home care. Journal on Informatics for Health and Social Care. 35
Thomas U., Molkenstruck S., Iser R., Wahl F..  2007.  Multi Sensor Fusion in Robot Assembly Using Particle Filters. IEEE International Conference on Robotics and Automation. :3837–3843.
Molkenstruck S., Thomas U., Iser R., Wahl F..  2017.  Multi Sensor Fusion in Robot Assembly Using Particle Filters. VDE/VDI GMA-Fachausschuss 4.13.
Emmerich C, Reinhart F, Steil JJ.  2013.  Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 112:47–57.
Malekzadeh M, Queißer J, Steil JJ.  2019.  Multi-level control architecture for Bionic Handling Assistant robot augmented by learning from demonstration for apple-picking. Advanced Robotics. :1-17.
Rolf M, Neumann K, Queißer J, Reinhart F, Nordmann A, Steil JJ.  2015.  A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.
Osypiuk R., Finkemeyer B., Wahl F..  2005.  Multi-loop model-based control structure for robot manipulators. Robotica. 23:491–499.
McGuire PC, Fritsch J, Ritter H, Steil JJ, Röthling F, Fink GA, Wachsmuth S, Sagerer G.  2002.  Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. Proc. Int. Conf. Intelligent Robotis and Systems. :1082–1089.
Feldwieser F., Gietzelt M., Gövercin M., Marschollek M., Meis M., Winkelbach S., Wolf K., Spehr J., Steinhagen-Thiessen E..  2014.  Multimodal sensor-based fall detection within the domestic environment of elderly people. Zeitschrift für Gerontologie und Geriatrie.
Wang Y., Wahl F..  1997.  Multiobjective neural network for image reconstruction. IEEE Proceedings of Vis. Image Signal Process. 144:233–236.
Dehio N, Reinhart F, Steil JJ.  2015.  Multiple Task Optimization with a Mixture of Controllers for Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6416–6421.
Kröger T., Wahl F..  2008.  Multi-Sensor Integration and Sensor Fusion in Industrial Manipulation: Hybrid Switched Control, Trajectory Generation, and Software Development. IEEE Int. Conference on Multisensor Fusion and Integration for Intelligent Systems. :411–418.
Rayyes R, Kubus D, Steil JJ.  2018.  Multi-Stage Goal Babbling for Learning Inverse Models Simultaneously.. IROS workshop.
Krebs B., Burkhardt M., Wahl F..  1998.  Mustererkennung. :143–150.
[Anonymous].  1997.  Mustererkennung 1997. Informatik aktuell.
Schomburg D., Krebs B., Wahl F..  1999.  Mustererkennung 1999 Bonn, 21. DAGM-Symposium. :276–283.
Schomburg D., Karger A., Wahl F..  2000.  Mustererkennung 2000. Informatik aktuell. :349–356.
N
Wahl F..  1992.  Nachrichtentechnik. 13
Gutsche R., Laloni C., Wahl F..  1991.  Navigation und Überwachung fahrerloser Transportsysteme durch ein Hallen-Sensorsystem. Autonome Mobile Systeme, 7. Fachgespräch Karlsruhe. :3–12.
Ritter H, Steil JJ, Nölker C, Röthling F, McGuire PC.  2003.  Neural Architectures for Robotic Intelligence. Reviews in the Neurosciences. 14:121–143.
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.
Steil JJ.  2004.  Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
Reinhart F, Steil JJ.  2011.  Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
Neumann K, Lemme A, Steil JJ.  2013.  Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.

Pages