Biblio

Found 257 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 
O
Kodl J, Mukovskiy A, Mohammadi P, Malekzadeh M, Taubert N, Christensen A, Dijkstra T, Steil J, Giese M.  2019.  Online planning and control of ball throwing by the humanoid robot COMAN and validation exploiting VR in rehabilitation scenarios with ataxia patients.
Steil JJ.  2007.  Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 20:353–364.
Steil JJ.  2006.  Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
Belardinelli A, Schneider WX, Steil JJ.  2010.  OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.
Wigand D, Mohammadi P, Hoffmann EMingo, Wrede S, Steil JJ, Tsagarakis N.  2018.  An Open-Source Architecture for Simulation, Execution and Analysis of Real-Time Robotics Systems. SIMPAR.
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.
Shareef Z, Trächtler A.  2014.  Optimal trajectory planning for robotic manipulators using discrete mechanics and optimal control. IEEE Conference on Control Applications.
Shareef Z, Usman Z, Rana MAsif.  2014.  Optimization of static and dynamic anti-windup compensator using new improved particle swarm optimization algorithm. IEEE 15th International Symposium on Computational Intelligence and Informatics.
Neumann K, Steil JJ.  2013.  Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102:23–30.
P
Aswolinskiy W, Steil JJ.  2016.  Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. Proceedings of the Workshop on New Challenges in Neural Computation.
Shareef Z.  2015.  Path planning and trajectory optimization of delta parallel robot. Department of Mechanical Engineering. PhD Thesis
Hammer B, Steil JJ.  2002.  Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.
Röthling F, Haschke R, Steil JJ, Ritter H.  2007.  Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
Wojtynek M, Steil JJ, Wrede S.  2019.  Plug, Plan and Produce as Enabler for easy Workcell Setup and Collaborative Robot Programming in Smart Factories. KI - Künstliche Intelligenz. 33(Special Issue: Smart Production 2):151–161.
Lin H-C, Smith J, Babarahmati KKouhkiloui, Dehio N, Mistry M.  2018.  A Projected Inverse Dynamics Approach for Multi-arm Cartesian Impedance Control. Int. Conf. Robotics and Automation.
R
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.
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.
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.
Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
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.

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