Biblio

Found 774 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 
R
Buchholz D., Wahl F., Winkelbach S..  2010.  RANSAM for Industrial Bin-Picking. Proc. of ISR/Robotik 2010. :1317–1322.
Soltoggio A, Lemme A, Reinhart F, Steil JJ.  2013.  Rare neural correlations implement robotic conditioning with reward delays and disturbances. Frontiers in Neurorobotics. 7:6.
Oszwald M., Zhiyong R., Westphal R., O'Loughlin P., Kendoff D., Hüfner T., Wahl F., Krettek C., Gösling T..  2008.  A rat model for evaluating physiological responses to femoral shaft fracture reduction using a surgical robot. Journal of Orthopaedic Research. 26:1656–1659.
Reinhart F, Steil JJ.  2009.  Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.
Mohammadi P, Hoffmann EMingo, Muratore L, Tsgarakis N, Steil JJ.  2019.  Reactive Walking Based on Upper-Body Manipulability: An application to Intention Detection and Reaction. ICRA.
Lebedev DV, Steil JJ, Ritter H.  2003.  Real Time Path Planning in Dynamic Environment: a Comparison of Three Neural Network Models. Proc. IEEE Int. Conf. Systems, Man, and Cybernetics. :3408–3413.
Petersik A..  2007.  Realistische haptische Simulation materialabtragender chirurgischer Eingriffe. Fortschritte in der Robotik. 11
Mohammadi P, Malekzadeh M, Kodl J, Mukovskiy A, Wigand D, Giese M, Steil JJ.  2018.  Real-time Control of Whole-body Robot Motion and Trajectory Generation for Psychotherapeutic Juggling in VR. IROS 2018.
Li W., Chen Z., Wahl F., Kozlowski K..  1999.  Real-Time Sensor-Based Obstacle Modeling in Configuration Space for Manipulator Motion Planning. Automation and Information Studies, Polish Academy of Science Journal. :121–136.
Donat H, Gu J, Steil JJ.  2021.  Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque-Sensor. Frontiers in Robotics and AI -- Soft Robotics.
Rosebrock D., Rilk M..  2012.  Real-Time Vehicle Detection with a Single Camera Using Shadow Segmentation and Temporal Verification. Proc. of IEEE, RSJ International Conference on Intelligent Robots and Systems (IROS).
Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
Spehr J., Islami M., Winkelbach S., Wahl F..  2012.  Recognition of Human Behavior Patterns Using Depth Information and Gaussian Feature Maps. GI/GMDS-Workshop.
Stahs T., Wahl F..  1992.  Recognition of Polyhedral Objects under Perspective View. Computers and Artificial Intelligence. 11:155–172.
Muxfeldt A, Steil JJ.  2018.  Recovering from Assembly Errors by Exploiting Human Demonstrations. 51st CIRP Conference on Manufacturing Systems.
Emmerich C, Reinhart F, Steil JJ.  2010.  Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
Steil JJ, Ritter H.  1999.  Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.
Reinhart F, Steil JJ.  2008.  Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot. Int. Symp. Learning Adaptive Behavior in Robotic Systems, best paper award. 1:35–40.

Pages