Biblio

Found 252 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 
T
Muehlig M, Gienger M, Hellbach S, Steil JJ, Goerick C.  2009.  Task-level Imitation Learning using Variance-based Movement Optimization. IEEE International Conference on Robotics and Automation. :1177–1184.
Haschke R, Steil JJ, Steuwer I, Ritter H.  2005.  Task-Oriented Quality Measures for Dextrous Grasping. Proc. Conference on Computational Intelligence in Robotics and Automation. :689–694.
Cognetti M., Mohammadi P., Oriolo G., Vendittelli M..  2014.  Task-oriented whole-body planning for humanoids based on hybrid motion generation. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
Nordmann A, Emmerich C, Rüther S, Lemme A, Wrede S, Steil JJ.  2012.  Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.
Weirich A, Schueler S, Haumann C, Steil JJ.  2010.  teutolab-robotik - Hands-On Teaching of Human-Robot Interaction. Proc. Int. Conf. on SIMULATION, MODELING and PROGRAMMING for AUTONOMOUS ROBOTS, Workshop on "Teaching Robotics-Teaching with Robotics". :474–483.
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters.
Aswolinskiy W, Reinhart F, Steil JJ.  2016.  Time Series Classification in Reservoir- and Model-Space: A Comparison. Proc. 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.
Vasquez-Tieck J.C, Donat H., Kaiser J., Peric I., Ulbrich S., Roennau A., Marius Z., Dillmann R..  2017.  Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. ICANN 2017 - The 26th International Conference on Artificial Neural Networks.
Donat H, Lilge S, Steil J, Burgner-Kahrs J.  2019.  Towards Learning Force Sensing for a Concentric Tube Continuum Robot.
Shareef Z, Steil JJ.  2016.  Trajectory Optimization of COmpliant HuMANoid (COMAN) Robot Arm using Path Parameter based Dynamic Programming. Proc. IEEE Humanoids. :705–710.
Mohammadi P, Hoffmann EMingo, Dehio N, Malekzadeh M, Giese M, Tsagarakis N, Steil JJ.  In Press.  Transparent Integration of Real-time Control, Whole-body Motion Generation and Virtual Reality for Compliant Humanoids. Robotics and Automation Magazin.
Steil JJ, Cawley GC, Villmann T.  2005.  Trends in Neurocomputing at ESANN 2004. Neurocomputing. 64:1–4.
Ritter H, Haschke R, Steil JJ.  2009.  Trying to Grasp a Sketch of a Brain for Grasping. Creating Brain-Like Intelligence. :84–102.
W
Schiller U.D, Steil JJ.  2003.  On the weight dynamcis of recurrent learning. Proc. European Symposium Artificial Neural Networks. :73–78.
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.
Wischnewski M, Belardinelli A, Schneider WX, Steil JJ.  2010.  Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention Cognitive Computation. 2:326–343.
Cognetti M., Mohammadi P., Oriolo G..  2015.  Whole-body motion planning for humanoids based on CoM movement primitives. 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Pages