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ORCIDJochen J. Steil
Jochen Jakob Steil
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- affiliation: Brunswick University of Technology, Institute for Robotics and Process Control, Germany
- affiliation: Bielefeld University, Research Institute for Cognition and Robotics, Germany
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2020 – today
- 2023
[j58]Rania Rayyes
, Heiko Donat, Jochen J. Steil, Michael Spranger:
Interest-Driven Exploration With Observational Learning for Developmental Robots. IEEE Trans. Cogn. Dev. Syst. 15(2): 373-384 (2023)- [c112]Heiko Donat, Pouya Mohammadi, Jochen J. Steil:
Data-Driven Estimation of Forces Along the Backbone of Concentric Tube Continuum Robots. ICRA 2023: 2662-2668 - [i5]Julian Richter, João Oliveira, Christian Scheurer, Jochen J. Steil, Niels Dehio:
Task-Parameterized Imitation Learning with Time-Sensitive Constraints. CoRR abs/2312.03506 (2023) - 2022
- [j57]Sonja K. Ötting, Lisa Masjutin, Jochen J. Steil, Günter W. Maier:
Let's Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human-Robot Interaction at Work. Hum. Factors 64(6): 1027-1050 (2022) - [j56]Niels Dehio, Joshua Smith, Dennis Leroy Wigand, Pouya Mohammadi, Michael N. Mistry, Jochen J. Steil:
Enabling impedance-based physical human-multi-robot collaboration: Experiments with four torque-controlled manipulators. Int. J. Robotics Res. 41(1): 68-84 (2022) - [j55]Rania Rayyes, Heiko Donat, Jochen J. Steil:
Efficient Online Interest-Driven Exploration for Developmental Robots. IEEE Trans. Cogn. Dev. Syst. 14(4): 1367-1377 (2022) - [c111]Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil:
Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection. ESANN 2022 - [c110]Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil:
Hyperspectral Endoscopy Using Deep Learning for Laryngeal Cancer Segmentation. ICANN (4) 2022: 682-694 - 2021
- [j54]Heiko Donat, Jiecong Gu, Jochen J. Steil:
Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque Sensor. Frontiers Robotics AI 8: 734033 (2021) - [c109]Firas Al-Hafez, Jochen J. Steil:
Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation. CoRL 2021: 981-990 - [c108]Jochen J. Steil, Yannic Lieder:
Constraint optimization for Echo State Networks applied to satellite image forecasting. ESANN 2021 - [c107]Justus Drögemüller, Carlos X. Garcia, Elena F. Gambaro, Michael Suppa, Jochen J. Steil, Máximo A. Roa:
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images. ICAR 2021: 730-737 - [c106]Sinan Barut, Marco Boneberger, Pouya Mohammadi, Jochen J. Steil:
Benchmarking Real-Time Capabilities of ROS 2 and OROCOS for Robotics Applications. ICRA 2021: 708-714 - 2020
- [c105]Rania Rayyes, Heiko Donat, Jochen J. Steil:
Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA 2020: 1336-1342
2010 – 2019
- 2019
- [j53]Milad S. Malekzadeh, Jeffrey F. Queißer, Jochen J. Steil:
Multi-level control architecture for Bionic Handling Assistant robot augmented by learning from demonstration for apple-picking. Adv. Robotics 33(9): 469-485 (2019) - [j52]Michael Wojtynek, Jochen Jakob Steil, Sebastian Wrede:
Plug, Plan and Produce as Enabler for Easy Workcell Setup and Collaborative Robot Programming in Smart Factories. Künstliche Intell. 33(2): 151-161 (2019) - [j51]Marieke Rohde, Kenichi Narioka, Jochen J. Steil, Lina K. Klein, Marc O. Ernst:
Goal-related feedback guides motor exploration and redundancy resolution in human motor skill acquisition. PLoS Comput. Biol. 15(3) (2019) - [j50]Pouya Mohammadi, Enrico Mingo Hoffman, Niels Dehio, Milad S. Malekzadeh, Martin A. Giese, Nikos G. Tsagarakis, Jochen J. Steil:
Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality. IEEE Robotics Autom. Mag. 26(4): 83-93 (2019) - [c104]Sven Tittel, Milad S. Malekzadeh, Jochen J. Steil:
Full 6-DOF Admittance Control for the Industrial Robot Stäubli TX60. CASE 2019: 1450-1455 - [c103]Rania Rayyes, Jochen J. Steil:
Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills. ICDL-EPIROB 2019: 327-334 - [c102]Pouya Mohammadi, Daniel Kubus, Jochen J. Steil:
Exploiting Environment Contacts of Serial Manipulators. ICRA 2019: 197-203 - [c101]Niels Dehio, Jochen J. Steil:
Dynamically-consistent Generalized Hierarchical Control. ICRA 2019: 1141-1147 - [c100]Pouya Mohammadi, Enrico Mingo Hoffman, Luca Muratore, Nikos G. Tsagarakis, Jochen J. Steil:
Reactive Walking Based on Upper-Body Manipulability: An application to Intention Detection and Reaction. ICRA 2019: 4991-4997 - 2018
- [j49]Rania Rayyes, Daniel Kubus, Jochen J. Steil:
Learning Inverse Statics Models Efficiently With Symmetry-Based Exploration. Frontiers Neurorobotics 12: 68 (2018) - [j48]Jeffrey F. Queisser, Jochen J. Steil:
Bootstrapping of Parameterized Skills Through Hybrid Optimization in Task and Policy Spaces. Frontiers Robotics AI 5: 49 (2018) - [j47]Alexander Spröwitz, Alexandre Tuleu, Mostafa Ajallooeian, Massimo Vespignani, Rico Möckel, Peter Eckert, Michiel D'Haene, Jonas Degrave, Arne Nordmann, Benjamin Schrauwen, Jochen J. Steil, Auke Jan Ijspeert:
Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs. Frontiers Robotics AI 5: 67 (2018) - [j46]Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Time Series Classification in Reservoir- and Model-Space. Neural Process. Lett. 48(2): 789-809 (2018) - [c99]Arne Muxfeldt, Jochen J. Steil:
Fusion of Human Demonstrations for Automatic Recovery during Industrial Assembly. CASE 2018: 1493-1500 - [c98]Jeffrey Frederic Queißer, Barbara Hammer, Hisashi Ishihara, Minoru Asada, Jochen Jakob Steil:
Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto. ICDL-EPIROB 2018: 39-45 - [c97]Matthias Rolf, Nigel T. Crook, Jochen J. Steil:
From social interaction to ethical AI: a developmental roadmap. ICDL-EPIROB 2018: 204-211 - [c96]Niels Dehio, Joshua Smith, Dennis Leroy Wigand, Guiyang Xin, Hsiu-Chin Lin, Jochen J. Steil, Michael N. Mistry:
Modeling and Control of Multi-Arm and Multi-Leg Robots: Compensating for Object Dynamics During Grasping. ICRA 2018: 294-301 - [c95]Pouya Mohammadi, Milad Malekzadeh Shafaroudi, Jindrich Kodl, Albert Mukovskiy, Dennis Leroy Wigand, Martin A. Giese, Jochen J. Steil:
Real-time Control of Whole-body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. IROS 2018: 270-277 - [c94]Daniel Kubus, Rania Rayyes, Jochen J. Steil:
Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018: 5133-5140 - [c93]Niels Dehio, Daniel Kubus, Jochen J. Steil:
Continuously Shaping Projections and Operational Space Tasks. IROS 2018: 5995-6002 - [c92]Dennis Leroy Wigand, Pouya Mohammadi, Enrico Mingo Hoffman, Nikos G. Tsagarakis, Jochen J. Steil, Sebastian Wrede:
An open-source architecture for simulation, execution and analysis of real-time robotics systems. SIMPAR 2018: 93-100 - [i4]Alexander Spröwitz, Alexandre Tuleu, Mostafa Ajaoolleian, Massimo Vespignani, Rico Moeckel, Peter Eckert, Michiel D'Haene, Jonas Degrave, Arne Nordmann, Benjamin Schrauwen, Jochen J. Steil, Auke Jan Ijspeert:
Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs. CoRR abs/1803.06259 (2018) - 2017
- [j45]Sugeeth Gopinathan, Sonja K. Ötting, Jochen J. Steil:
A User Study on Personalized Stiffness Control and Task Specificity in Physical Human-Robot Interaction. Frontiers Robotics AI 4: 58 (2017) - [j44]Witali Aswolinskiy, René Felix Reinhart, Jochen Jakob Steil:
Modelling of parametrized processes via regression in the model space of neural networks. Neurocomputing 268: 55-63 (2017) - [j43]Weihui Liu, Diansheng Chen, Jochen J. Steil:
Analytical Inverse Kinematics Solver for Anthropomorphic 7-DOF Redundant Manipulators with Human-Like Configuration Constraints. J. Intell. Robotic Syst. 86(1): 63-79 (2017) - [j42]René Felix Reinhart, Zeeshan Shareef, Jochen Jakob Steil:
Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control. Sensors 17(2): 311 (2017) - [c91]Milad Malekzadeh Shafaroudi, Jeffrey F. Queißer, Jochen J. Steil:
Imitation learning for a continuum trunk robot. ESANN 2017 - [c90]Daniel Kubus, Arne Muxfeldt, Konrad Kissener, Jan Niklas Haus, Jochen J. Steil:
Robust recognition of tactile gestures for intuitive robot programming and control. IROS 2017: 1643-1650 - [c89]Arne Muxfeldt, Sugeeth Gopinathan, Thilo Coenders, Jochen J. Steil:
A user study on human-robot-interactive recovery for industrial assembly problems. RO-MAN 2017: 824-830 - [c88]Sugeeth Gopinathan, Sonja K. Ötting, Jochen J. Steil:
A user study on personalized adaptive stiffness control modes for human-robot interaction. RO-MAN 2017: 831-837 - [i3]Rania Rayyes, Daniel Kubus, Carsten Hartmann, Jochen J. Steil:
Learning Inverse Statics Models Efficiently. CoRR abs/1710.06463 (2017) - 2016
- [j41]Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang:
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27(1): 1-7 (2016) - [c87]Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Time Series Classification in Reservoir- and Model-Space: A Comparison. ANNPR 2016: 197-208 - [c86]Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Modelling of parameterized processes via regression in the model space. ESANN 2016 - [c85]Jeffrey Frederic Queißer, René Felix Reinhart, Jochen Jakob Steil:
Incremental bootstrapping of parameterized motor skills. Humanoids 2016: 223-229 - [c84]Niels Dehio, René Felix Reinhart, Jochen J. Steil:
Continuous task-priority rearrangement during motion execution with a mixture of torque controllers. Humanoids 2016: 264-270 - [c83]Zeeshan Shareef, Jochen J. Steil:
Trajectory optimization of COmpliant HuMANoid (COMAN) robot arm using path parameter based dynamic programming. Humanoids 2016: 705-710 - [c82]Zeeshan Shareef, René Felix Reinhart, Jochen J. Steil:
Generalizing a learned inverse dynamic model of KUKA LWR IV+ for load variations using regression in the model space. IROS 2016: 606-611 - 2015
- [j40]Matthias Rolf, Klaus Neumann, Jeffrey F. Queisser, René Felix Reinhart, Arne Nordmann, Jochen J. Steil:
A multi-level control architecture for the bionic handling assistant. Adv. Robotics 29(13): 847-859 (2015) - [j39]René Felix Reinhart, Jochen Jakob Steil:
Efficient policy search in low-dimensional embedding spaces by generalizing motion primitives with a parameterized skill memory. Auton. Robots 38(4): 331-348 (2015) - [j38]Andre Lemme, Yaron Meirovitch, Seyed Mohammad Khansari-Zadeh, Tamar Flash, Aude Billard, Jochen J. Steil:
Open-source benchmarking for learned reaching motion generation in robotics. Paladyn J. Behav. Robotics 6(1) (2015) - [j37]Klaus Neumann, Jochen J. Steil:
Learning robot motions with stable dynamical systems under diffeomorphic transformations. Robotics Auton. Syst. 70: 1-15 (2015) - [c81]Ole Richter, René Felix Reinhart, Stephen Nease, Jochen J. Steil, Elisabetta Chicca:
Device mismatch in a neuromorphic system implements random features for regression. BioCAS 2015: 1-4 - [c80]Andre Lemme, Jochen J. Steil:
A flat neural network architecture to represent movement primitives with integrated sequencing. ESANN 2015 - [c79]Ken Caluwaerts, Jochen J. Steil:
Independent joint learning in practice: Local error estimates to improve inverse dynamics control. Humanoids 2015: 643-650 - [c78]Kenichi Narioka, Jochen J. Steil:
U-shaped motor development emerges from Goal Babbling with intrinsic motor noise. ICDL-EPIROB 2015: 55-62 - [c77]Kenichi Narioka, René Felix Reinhart, Jochen Jakob Steil:
Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling. ICDL-EPIROB 2015: 86-91 - [c76]Jens Kober, Michael Gienger, Jochen J. Steil:
Learning movement primitives for force interaction tasks. ICRA 2015: 3192-3199 - [c75]Arne Nordmann, Sebastian Wrede, Jochen J. Steil:
Modeling of movement control architectures based on motion primitives using domain-specific languages. ICRA 2015: 5032-5039 - [c74]Niels Dehio, René Felix Reinhart, Jochen J. Steil:
Multiple task optimization with a mixture of controllers for motion generation. IROS 2015: 6416-6421 - [c73]Steve Barker, Luis A. Fuente, Khaled Hayatleh, Neil Fellows, Jochen J. Steil, Nigel T. Crook:
Design of a biologically inspired humanoid neck. ROBIO 2015: 25-30 - 2014
- [j36]Matthias Rolf, Jochen J. Steil:
Explorative learning of inverse models: A theoretical perspective. Neurocomputing 131: 2-14 (2014) - [j35]Andre Lemme, Klaus Neumann, René Felix Reinhart, Jochen J. Steil:
Neural learning of vector fields for encoding stable dynamical systems. Neurocomputing 141: 3-14 (2014) - [j34]Matthias Rolf, Jochen J. Steil:
Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk. IEEE Trans. Neural Networks Learn. Syst. 25(6): 1147-1160 (2014) - [c72]Andre Lemme, René Felix Reinhart, Jochen Jakob Steil:
Self-supervised bootstrapping of a movement primitive library from complex trajectories. Humanoids 2014: 726-732 - [c71]Jeffrey F. Queisser, Klaus Neumann, Matthias Rolf, René Felix Reinhart, Jochen J. Steil:
An active compliant control mode for interaction with a pneumatic soft robot. IROS 2014: 573-579 - [c70]René Felix Reinhart, Jochen Jakob Steil:
Efficient policy search with a parameterized skill memory. IROS 2014: 1400-1407 - [c69]Daniel Seidel, Christian Emmerich, Jochen J. Steil:
Model-free path planning for redundant robots using sparse data from kinesthetic teaching. IROS 2014: 4381-4388 - [p4]Jochen J. Steil, Christian Emmerich, Agnes Swadzba, Ricarda Grünberg, Arne Nordmann, Sebastian Wrede:
Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Technology Transfer Experiments from the ECHORD Project 2014: 107-127 - 2013
- [j33]Andrea Soltoggio, Andre Lemme, René Felix Reinhart, Jochen J. Steil:
Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances. Frontiers Neurorobotics 7: 6 (2013) - [j32]Klaus Neumann, Jochen J. Steil:
Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity. Neurocomputing 102: 23-30 (2013) - [j31]Klaus Neumann, C. Strub, Jochen Jakob Steil:
Intrinsic plasticity via natural gradient descent with application to drift compensation. Neurocomputing 112: 26-33 (2013) - [j30]Christian Emmerich, René Felix Reinhart, Jochen Jakob Steil:
Multi-directional continuous association with input-driven neural dynamics. Neurocomputing 112: 47-57 (2013) - [j29]Andre Lemme, Ananda Freire, Guilherme A. Barreto, Jochen J. Steil:
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing 112: 179-188 (2013) - [j28]Andrea Soltoggio, Jochen J. Steil:
Solving the Distal Reward Problem with Rare Correlations. Neural Comput. 25(4): 940-978 (2013) - [j27]Sebastian Wrede, Christian Emmerich, Ricarda Grünberg, Arne Nordmann, Agnes Swadzba, Jochen J. Steil:
A user study on kinesthetic teaching of redundant robots in task and configuration space. J. Hum. Robot Interact. 2(1): 56-81 (2013) - [c68]Andre Lemme, Klaus Neumann, René Felix Reinhart, Jochen J. Steil:
Neurally imprinted stable vector fields. ESANN 2013 - [c67]Andrea Soltoggio, René Felix Reinhart, Andre Lemme, Jochen J. Steil:
Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards. ICDL-EPIROB 2013: 1-6 - [c66]Christian Emmerich, Arne Nordmann, Agnes Swadzba, Jochen J. Steil, Sebastian Wrede:
Assisted Gravity Compensation to cope with the complexity of kinesthetic teaching on redundant robots. ICRA 2013: 4322-4328 - [c65]Klaus Neumann, Andre Lemme, Jochen J. Steil:
Neural learning of stable dynamical systems based on data-driven Lyapunov candidates. IROS 2013: 1216-1222 - [c64]Stefan Rüther, Thomas Hermann, Maik Mracek, Stefan Kopp, Jochen J. Steil:
Supporting Workers and Quality Management in Sterilization Departments. ISAmI 2013: 229-236 - [c63]Stefan Rüther, Thomas Hermann, Maik Mracek, Stefan Kopp, Jochen J. Steil:
An assistance system for guiding workers in central sterilization supply departments. PETRA 2013: 3:1-3:8 - 2012
- [j26]Manuel Mühlig, Michael Gienger, Jochen J. Steil:
Interactive imitation learning of object movement skills. Auton. Robots 32(2): 97-114 (2012) - [j25]René Felix Reinhart, Jochen Jakob Steil:
Regularization and stability in reservoir networks with output feedback. Neurocomputing 90: 96-105 (2012) - [j24]Andrea Soltoggio, Jochen J. Steil:
How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. Künstliche Intell. 26(4): 407-410 (2012) - [j23]Andre Lemme, René Felix Reinhart, Jochen Jakob Steil:
Online learning and generalization of parts-based image representations by non-negative sparse autoencoders. Neural Networks 33: 194-203 (2012) - [c62]Klaus Neumann, Jochen J. Steil:
intrinsic plasticity via natural gradient descent. ESANN 2012 - [c61]Christian Emmerich, René Felix Reinhart, Jochen J. Steil:
Balancing of neural contributions for multi-modal hidden state association. ESANN 2012 - [c60]Ananda Freire, Andre Lemme, Jochen J. Steil, Guilherme A. Barreto:
Learning visuo-motor coordination for pointing without depth calculation. ESANN 2012 - [c59]René Felix Reinhart, Andre Lemme, Jochen Jakob Steil:
Representation and generalization of bi-manual skills from kinesthetic teaching. Humanoids 2012: 560-567 - [c58]Arne Nordmann, Christian Emmerich, Stefan Rüther, Andre Lemme, Sebastian Wrede, Jochen J. Steil:
Teaching nullspace constraints in physical human-robot interaction using Reservoir Computing. ICRA 2012: 1868-1875 - [c57]René Felix Reinhart, Jochen Jakob Steil:
Learning whole upper body control with dynamic redundancy resolution in coupled associative radial basis function networks. IROS 2012: 1487-1492 - [c56]Matthias Rolf, Jochen J. Steil:
Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant. IROS 2012: 3440-3446 - [c55]Andrea Soltoggio, Andre Lemme, Jochen J. Steil:
Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. ROBIO 2012: 1427-1433 - 2011
- [j22]Stefan Kopp, Jochen J. Steil:
Special corner on "cognitive robotics". Cogn. Process. 12(4): 317-318 (2011) - [j21]Jan Steffen, Michael Pardowitz, Jochen J. Steil, Helge J. Ritter:
Integrating feature maps and competitive layer architectures for motion segmentation. Neurocomputing 74(9): 1372-1381 (2011) - [c54]René Felix Reinhart, Jochen J. Steil:
Reservoir regularization stabilizes learning of Echo State Networks with output feedback. ESANN 2011 - [c53]René Felix Reinhart, Jochen Jakob Steil:
Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Humanoids 2011: 564-569 - [c52]René Felix Reinhart, Jochen Jakob Steil:
State Prediction: A Constructive Method to Program Recurrent Neural Networks. ICANN (1) 2011: 159-166 - [c51]Klaus Neumann, Jochen J. Steil:
Batch Intrinsic Plasticity for Extreme Learning Machines. ICANN (1) 2011: 339-346 - [c50]Matthias Rolf, Jochen J. Steil, Michael Gienger:
Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions. ICDL-EPIROB 2011: 1-8 - 2010
- [j20]Helge J. Ritter, Jochen J. Steil, Gerhard Sagerer:
Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter (Head, Body and Hand: Challenges of Humanoid Robots). Autom. 58(11): 630-638 (2010) - [j19]Marco Wischnewski, Anna Belardinelli, Werner X. Schneider, Jochen J. Steil:
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention. Cogn. Comput. 2(4): 326-343 (2010) - [j18]Matthias Rolf, Jochen J. Steil, Michael Gienger:
Goal Babbling Permits Direct Learning of Inverse Kinematics. IEEE Trans. Auton. Ment. Dev. 2(3): 216-229 (2010) - [c49]Matthias Rolf, Jochen J. Steil, Michael Gienger:
Mastering Growth while Bootstrapping Sensorimotor Coordination. EpiRob 2010 - [c48]Alexander Denecke, Irene Ayllón Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil:
Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. ESANN 2010 - [c47]Andre Lemme, René Felix Reinhart, Jochen Jakob Steil:
Efficient online learning of a non-negative sparse autoencoder. ESANN 2010 - [c46]Jan Steffen, Michael Pardowitz, Jochen Jakob Steil, Helge J. Ritter:
Neural competition for motion segmentation. ESANN 2010 - [c45]Matthias Rolf, Jochen J. Steil, Michael Gienger:
Learning Flexible Full Body Kinematics for Humanoid Tool Use. EST 2010: 171-176 - [c44]René Felix Reinhart, Jochen J. Steil, Terrance L. Huntsberger, Adrian Stoica:
Tacking Reduces Bow-diving of High-Speed Unmanned Sea Surface Vehicles. EST 2010: 177-182 - [c43]Christian Emmerich, René Felix Reinhart, Jochen Jakob Steil:
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. ICANN (2) 2010: 148-153 - [c42]Matthias Rolf, Jochen J. Steil, Michael Gienger:
Bootstrapping inverse kinematics with Goal Babbling. ICDL 2010: 147-154 - [c41]Michael Gienger, Manuel Mühlig, Jochen J. Steil:
Imitating object movement skills with robots - A task-level approach exploiting generalization and invariance. IROS 2010: 1262-1269 - [c40]Manuel Mühlig, Michael Gienger, Jochen J. Steil:
Human-robot interaction for learning and adaptation of object movements. IROS 2010: 4901-4907 - [c39]Klaus Neumann, Matthias Rolf, Jochen J. Steil, Michael Gienger:
Learning Inverse Kinematics for Pose-Constraint Bi-manual Movements. SAB 2010: 478-488
2000 – 2009
- 2009
- [j17]Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Online figure-ground segmentation with adaptive metrics in generalized LVQ. Neurocomputing 72(7-9): 1470-1482 (2009) - [c38]Barbara Hammer, Benjamin Schrauwen, Jochen J. Steil:
Recent advances in efficient learning of recurrent networks. ESANN 2009 - [c37]René Felix Reinhart, Jochen J. Steil:
Attractor-based computation with reservoirs for online learning of inverse kinematics. ESANN 2009 - [c36]René Felix Reinhart, Jochen J. Steil:
Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. Humanoids 2009: 323-330 - [c35]Manuel Mühlig, Michael Gienger, Sven Hellbach, Jochen J. Steil, Christian Goerick:
Task-level imitation learning using variance-based movement optimization. ICRA 2009: 1177-1184 - [c34]Manuel Mühlig, Michael Gienger, Jochen J. Steil, Christian Goerick:
Automatic selection of task spaces for imitation learning. IROS 2009: 4996-5002 - [c33]Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ. WSOM 2009: 45-53 - [p3]Marco Wischnewski, Jochen J. Steil, Lothar Kehrer, Werner X. Schneider:
Integrating Inhomogeneous Processing and Proto-object Formation in a Computational Model of Visual Attention. Human Centered Robot Systems, Cognition, Interaction, Technology 2009: 93-102 - [p2]Helge J. Ritter, Robert Haschke, Jochen J. Steil:
Trying to Grasp a Sketch of a Brain for Grasping. Creating Brain-Like Intelligence 2009: 84-102 - 2008
- [j16]Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil, Dirk Stroobandt:
Improving reservoirs using intrinsic plasticity. Neurocomputing 71(7-9): 1159-1171 (2008) - [j15]Jochen J. Steil:
Humans and Humanoids. Künstliche Intell. 22(4): 33-36 (2008) - [c32]Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Robust object segmentation by adaptive metrics in Generalized LVQ. ESANN 2008: 319-324 - [c31]Michael Pardowitz, Robert Haschke, Jochen J. Steil, Helge J. Ritter:
Gestalt-based action segmentation for robot task learning. Humanoids 2008: 347-352 - 2007
- [j14]Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge J. Ritter, Edgar Körner:
Online Learning of Objects in a Biologically Motivated Visual Architecture. Int. J. Neural Syst. 17(4): 219-230 (2007) - [j13]Jochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge J. Ritter:
Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing 70(7-9): 1235-1246 (2007) - [j12]Jochen J. Steil:
Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks 20(3): 353-364 (2007) - [c30]Jochen J. Steil:
Several ways to solve the MSO problem. ESANN 2007: 489-494 - [c29]Marion Wardermann, Jochen J. Steil:
Intrinsic plasticity for reservoir learning algorithms. ESANN 2007: 513-518 - [c28]Frank Röthling, Robert Haschke, Jochen J. Steil, Helge J. Ritter:
Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand. IROS 2007: 2951-2956 - [c27]Helge J. Ritter, Robert Haschke, Frank Röthling, Jochen J. Steil:
Manual Intelligence as a Rosetta Stone for Robot Cognition. ISRR 2007: 135-146 - [p1]Helge J. Ritter, Robert Haschke, Jochen J. Steil:
A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone". Perspectives of Neural-Symbolic Integration 2007: 159-178 - 2006
- [j11]Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi:
New Issues in Neurocomputing. Neurocomputing 69(7-9): 625-626 (2006) - [j10]Jochen J. Steil:
Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing 69(7-9): 642-650 (2006) - [j9]Sebastian Weng, Heiko Wersing, Jochen J. Steil, Helge J. Ritter:
Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions. IEEE Trans. Neural Networks 17(4): 843-862 (2006) - [c26]Jochen J. Steil, Risto Kõiva, Alessandro Sperduti:
Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD. ESANN 2006: 1-6 - [c25]Jochen J. Steil, Heiko Wersing:
Recent trends in online learning for cognitive robots. ESANN 2006: 77-87 - [c24]Michael Götting, Jochen J. Steil, Heiko Wersing, Edgar Körner, Helge J. Ritter:
Adaptive scene-dependent filters in online learning environments. ESANN 2006: 101-106 - [c23]Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen J. Steil, Helge J. Ritter, Edgar Körner:
A Biologically Motivated System for Unconstrained Online Learning of Visual Objects. ICANN (2) 2006: 508-517 - [c22]Stefan Klanke, Dmitry V. Lebedev, Robert Haschke, Jochen J. Steil, Helge J. Ritter:
Dynamic Path Planning for a 7-DOF Robot Arm. IROS 2006: 3879-3884 - 2005
- [j8]Ulf D. Schiller, Jochen J. Steil:
Analyzing the weight dynamics of recurrent learning algorithms. Neurocomputing 63: 5-23 (2005) - [j7]Jochen J. Steil, Gavin C. Cawley, Thomas Villmann:
Trends in Neurocomputing at ESANN 2004. Neurocomputing 64: 1-4 (2005) - [j6]Robert Haschke, Jochen J. Steil:
Input space bifurcation manifolds of recurrent neural networks. Neurocomputing 64: 25-38 (2005) - [j5]Dmitry V. Lebedev, Jochen J. Steil, Helge J. Ritter:
The dynamic wave expansion neural network model for robot motion planning in time-varying environments. Neural Networks 18(3): 267-285 (2005) - [c21]Robert Haschke, Jochen J. Steil, I. Steuwer, Helge J. Ritter:
Task-oriented quality measures for dextrous grasping. CIRA 2005: 689-694 - [c20]Jochen J. Steil:
Stability of backpropagation-decorrelation efficient O(N) recurrent learning. ESANN 2005: 43-48 - [c19]Jochen J. Steil:
Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. ICANN (2) 2005: 649-654 - [c18]Dmitry V. Lebedev, Jochen J. Steil, Helge J. Ritter:
An on-line neural network-based approach to dynamic path planning and coordination of two robot arms. IROS 2005: 2411-2416 - [i2]Patrick C. McGuire, Jannik Fritsch, Jochen J. Steil, Frank Röthling, Gernot A. Fink, Sven Wachsmuth, Gerhard Sagerer, Helge J. Ritter:
Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. CoRR abs/cs/0505064 (2005) - 2004
- [j4]Jochen J. Steil, Frank Röthling, Robert Haschke, Helge J. Ritter:
Situated robot learning for multi-modal instruction and imitation of grasping. Robotics Auton. Syst. 47(2-3): 129-141 (2004) - [c17]Robert Haschke, Jochen J. Steil:
Input Space Bifurcation Manifolds of RNNs. ESANN 2004: 13-18 - [c16]Jochen J. Steil:
Neural dynamics for task-oriented grouping of communicating agents. ESANN 2004: 531-536 - [i1]Helge J. Ritter, Jochen J. Steil, Claudia Nölker, Frank Röthling, Patrick C. McGuire:
Neural Architectures for Robot Intelligence. CoRR cs.RO/0410042 (2004) - 2003
- [j3]Igor B. Junger, Jochen J. Steil:
Static sliding-motion phenomena in dynamical systems. IEEE Trans. Autom. Control. 48(4): 680-686 (2003) - [c15]Ulf D. Schiller, Jochen J. Steil:
On the weight dynamics of recurrent learning. ESANN 2003: 73-78 - [c14]Gernot A. Fink, Jannik Fritsch, Nadine Leßmann, Helge J. Ritter, Gerhard Sagerer, Jochen J. Steil, Ipke Wachsmuth:
Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen. GI Jahrestagung (2) 2003: 29-44 - [c13]Sebastian Weng, Jochen J. Steil:
Learning Compatibility Functions for Feature Binding and Perceptual Grouping. ICANN 2003: 60-67 - [c12]Dmitry V. Lebedev, Jochen J. Steil, Helge J. Ritter:
A neural network model that calculates dynamic distance transform for path planning and exploration in a changing environment. ICRA 2003: 4209-4214 - [c11]Dmitry V. Lebedev, Jochen J. Steil, Helge J. Ritter:
Real-time path planning in dynamic environments: a comparison of three neural network models. SMC 2003: 3408-3413 - 2002
- [j2]Jochen J. Steil:
Local stability of recurrent networks with time-varying weights and inputs. Neurocomputing 48(1-4): 39-51 (2002) - [c10]Barbara Hammer, Jochen J. Steil:
Perspectives on learning with recurrent neural networks. ESANN 2002: 357-368 - [c9]Sebastian Weng, Jochen J. Steil:
Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling. ICANN 2002: 432-437 - [c8]Patrick C. McGuire, Jannik Fritsch, Jochen J. Steil, Frank Röthling, Gernot A. Fink, Sven Wachsmuth, Gerhard Sagerer, Helge J. Ritter:
Multi-modal human-machine communication for instructing robot grasping tasks. IROS 2002: 1082-1088 - 2001
- [j1]Heiko Wersing, Jochen J. Steil, Helge J. Ritter:
A Competitive-Layer Model for Feature Binding and Sensory Segmentation. Neural Comput. 13(2): 357-387 (2001) - [c7]Robert Haschke, Jochen J. Steil, Helge J. Ritter:
Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs. ICANN 2001: 1109-1114 - [c6]Jochen J. Steil, Gunther Heidemann, Ján Jockusch, Robert Rae, Nils Jungclaus, Helge J. Ritter:
Guiding attention for grasping tasks by gestural instruction: the GRAVIS-robot architecture. IROS 2001: 1570-1577 - 2000
- [c5]Jochen J. Steil:
Local input-output stability of recurrent networks with time-varying weights. ESANN 2000: 281-286 - [c4]Jochen J. Steil:
Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons. IJCNN (1) 2000: 260-265
1990 – 1999
- 1999
- [b1]Jochen J. Steil:
Input output stability of recurrent neural networks. Bielefeld University, Germany, Cuvillier 1999, ISBN 978-3-89712-625-1, pp. 1-170 - [c3]Jochen J. Steil, Helge J. Ritter:
Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. ESANN 1999: 370-374 - 1998
- [c2]Jochen J. Steil, Helge J. Ritter:
Input-Output Stability of Recurrent Neural Networks with Delays Using Circle Criteria. NC 1998: 519-525 - 1997
- [c1]Heiko Wersing, Jochen J. Steil, Helge J. Ritter:
A Layered Recurrent Neural Network for Feature Grouping. ICANN 1997: 439-444
Coauthor Index
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