Biblio

Found 97 results
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Li W., Chang X., Wahl F..  1999.  Mechatronics. 9:301–315.
Last C., Winkelbach S., Wahl F., Eichhorn K., Bootz F..  2010.  A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries. Pattern Recognition (Proc. of DAGM 2010),. 6376:333–342.
Dehio N, Smith J, Wigand D, Xin G, Lin H-C, Steil JJ, Mistry M.  2018.  Modeling & Control of Multi-Arm and Multi-Leg Robots: Compensating for Object Dynamics during Grasping. Int. Conf. Robotics and Automation.
Gutsche R., Laloni C., Wahl F..  1995.  MONAMOVE: A Flexible Transport System for Industrial Environments Using Global Sensor and Navigation Concepts. Proceedings of the 2nd International Symposium on Methods and Models in Automation and Robotics. :491-502.
Gutsche R., Laloni C., Wahl F..  1995.  MONAMOVE: A Flexible Transport System for Industrial Environments Using Global Sensor and Navigation Concepts. Journal Robotics and Autonomous Systems (Special Issue). 14:85–98.
Gutsche R., Laloni C., Wahl F..  1992.  MONAMOVE - Ein Navigations- und Überwachungssystem für Fahrerlose Transportfahrzeuge in Fabrikationsumgebungen. Robotersysteme 8. :182–190.
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.
Krebs B., Burkhardt M., Wahl F..  1998.  Mustererkennung. :143–150.
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Gutsche R., Laloni C., Wahl F..  1991.  Navigation und Überwachung fahrerloser Transportsysteme durch ein Hallen-Sensorsystem. Autonome Mobile Systeme, 7. Fachgespräch Karlsruhe. :3–12.
Neumann K, Lemme A, Steil JJ.  2013.  Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
Lemme A, Reinhart F, Neumann K, Steil JJ.  2014.  Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 141:3–14.
Lebedev DV, Steil JJ, Ritter H.  2003.  A Neural Network Model that Calculates Dynamic Distance Transform for Path Planning and Exploration in a Changing Environment. Proc. IEEE Int. Conf. on Robotics and Automation. :4209–4214.
Lemme A, Neumann K, Reinhart F, Steil JJ.  2013.  Neurally imprinted stable vector fields. ESANN. :327–332.
Li W., Ma B., Wahl F..  1997.  A neuro-fuzzy system architecture for behavior-based control of a mobile robot in unkown environments. Fuzzy Sets and Systems. 87:133–140.
Laloni C., Gutsche R., Wahl F..  1992.  A New Factory-Floor Monitoring System for Mobile Robot Guidance. ICARCV92 - International Conference on Automation, Robotics and Computer Vision. :12.6.1–12.6.5.
Gutsche R., Laloni C., Wahl F..  1992.  New Freespace-Decomposition Technique for Path Planning in Dynamic Worlds. 1992 IASTED - International Conference on Control and Robotics. :305–308.
Lebedev DV, Steil JJ, Ritter H.  2002.  A New Wave Neural Network Dynamics for Planning Safe Paths of Autonomous Objects in a Dynamically Changing World. Advances in Neural Networks World. :141–146.
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Gutsche R., Laloni C., Wahl F..  1994.  Object Flow Fields - A New Paradigm for Path Planning for AGVs within Production Environments. Data and Knowledge Systems for Manufacturing and Engineering (DKSME). :216–221.
Lemme A, Reinhart F, Steil JJ.  2012.  Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders. Neural Networks. 33:194–203.
Lebedev DV, Steil JJ, Ritter H.  2005.  An on-line neural network-based approach to dynamic path planning and coordination of two robot arms. Proc. Int. Conf. Intelligent Robotis and Systems. :2411–2416.
Lemme A, Meirovitch Y, Khansari-Zadeh SMohammad, Flash T, Billard A, Steil JJ.  2015.  Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics. 6:30–41.
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Gutsche R., Laloni C., Wahl F..  1994.  Path Planning for Mobile Vehicles within Dynamic Worlds using Statistical Data. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :454–461.
Bongardt B, Löwe H, Müller A, Steil JJ.  2021.  A Perspective onto the Structure of Motions from the Viewpoint of Dualization. Geometry and Topology in Robotics: Learning, Optimization, Planning, and Control / RSS Workshop.
Thomas U., Wahl F..  2012.  Planning Sensor Feedback for Assembly Skills by Using Sensor State Space Graphs. ICIRA 2012. :696–707.
Suhadi S., Last C., Fingscheidt T..  2010.  A Priori SNR Estimation Using an Artificial Neural Network. Proc. of Sprachkommunikation 2010 (ITG-FB 225).

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