2018
|
Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard Probabilistic Movement Primitives under Unknown System Dynamics Journal Article Advanced Robotics (ARJ), 2018. BibTeX | Tags: inverse dynamics, model learning, movement primitives | Links:  @article{Paraschos2018,
title = {Probabilistic Movement Primitives under Unknown System Dynamics},
author = {Alexandros Paraschos and Elmar Rueckert and Jan Peters and Gerhard Neumann },
url = {https://rob.ai-lab.science/wp/AR2018Paraschos.pdf, Article File},
year = {2018},
date = {2018-01-10},
journal = {Advanced Robotics (ARJ)},
keywords = {inverse dynamics, model learning, movement primitives},
pubstate = {published},
tppubtype = {article}
}
| |
2017
|
Rueckert, Elmar; Nakatenus, Moritz; Tosatto, Samuele; Peters, Jan Learning Inverse Dynamics Models in O(n) time with LSTM networks Inproceedings Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017. BibTeX | Tags: inverse dynamics, model learning, RNN | Links: @inproceedings{Humanoids2017Rueckert,
title = {Learning Inverse Dynamics Models in O(n) time with LSTM networks},
author = {Elmar Rueckert and Moritz Nakatenus and Samuele Tosatto and Jan Peters},
url = {https://ai-lab.science/wp/Humanoids2017Rueckert.pdf, Article File},
year = {2017},
date = {2017-11-15},
booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
crossref = {p11091},
key = {goal-robots, skills4robots},
keywords = {inverse dynamics, model learning, RNN},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar Efficient Online Adaptation with Stochastic Recurrent Neural Networks Inproceedings Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017. BibTeX | Tags: intrinsic motivation, RNN, spiking | Links: @inproceedings{Tanneberg2017a,
title = {Efficient Online Adaptation with Stochastic Recurrent Neural Networks},
author = {Daniel Tanneberg and Jan Peters and Elmar Rueckert},
url = {https://ai-lab.science/wp/Humanoids2017Tanneberg.pdf, Article File},
year = {2017},
date = {2017-11-15},
booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
crossref = {p11092},
key = {goal-robots, skills4robots},
keywords = {intrinsic motivation, RNN, spiking},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Stark, Svenja; Peters, Jan; Rueckert, Elmar A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries Inproceedings Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017. BibTeX | Tags: intrinsic motivation, movement primitives | Links: @inproceedings{Humanoids2017Stark,
title = {A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries},
author = {Svenja Stark and Jan Peters and Elmar Rueckert},
url = {https://ai-lab.science/wp/Humanoids2017Stark.pdf, Article File},
year = {2017},
date = {2017-11-15},
booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
crossref = {p11093},
key = {goal-robots, skills4robots},
keywords = {intrinsic motivation, movement primitives},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Thiem, Simon; Stark, Svenja; Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar Simulation of the underactuated Sake Robotics Gripper in V-REP Conference Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017. BibTeX | Tags: Manipulation, Simulation | Links: @conference{Thiem2017b,
title = {Simulation of the underactuated Sake Robotics Gripper in V-REP},
author = {Simon Thiem and Svenja Stark and Daniel Tanneberg and Jan Peters and Elmar Rueckert},
url = {https://rob.ai-lab.science/wp/Humanoids2017Thiem.pdf},
year = {2017},
date = {2017-11-15},
booktitle = {Workshop at the International Conference on Humanoid Robots (HUMANOIDS)},
keywords = {Manipulation, Simulation},
pubstate = {published},
tppubtype = {conference}
}
|  |
Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Inproceedings Proceedings of the Conference on Robot Learning (CoRL), 2017. BibTeX | Tags: intrinsic motivation, RNN, spiking | Links: @inproceedings{Tanneberg2017,
title = {Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals},
author = {Daniel Tanneberg and Jan Peters and Elmar Rueckert},
url = {https://ai-lab.science/wp/CoRL2017Tanneberg.pdf, Article File},
year = {2017},
date = {2017-11-10},
booktitle = {Proceedings of the Conference on Robot Learning (CoRL)},
crossref = {p11088},
key = {goal-robots, skills4robots},
keywords = {intrinsic motivation, RNN, spiking},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
2016
|
Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar Deep Spiking Networks for Model-based Planning in Humanoids Inproceedings Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016. BibTeX | Tags: model learning, RNN, spiking | Links:  @inproceedings{tanneberg_humanoids16,
title = {Deep Spiking Networks for Model-based Planning in Humanoids},
author = {Daniel Tanneberg and Alexandros Paraschos and Jan Peters and Elmar Rueckert},
url = {https://ai-lab.science/wp/Humanoids2016Tanneberg.pdf, Article File
https://ai-lab.science/wp/resources/videos/humanoids_slower_540p.mp4, Supplementary Video},
year = {2016},
date = {2016-11-16},
booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
crossref = {p10980},
key = {codyco and tacman},
keywords = {model learning, RNN, spiking},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Azad, Morteza; Ortenzi, Valerio; Lin, Hsiu-Chin; Rueckert, Elmar; Mistry, Michael Model Estimation and Control of Complaint Contact Normal Force Inproceedings Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016. BibTeX | Tags: constraint optimization, human motor control, inverse dynamics, model learning | Links:  @inproceedings{Humanoids2016Azad,
title = {Model Estimation and Control of Complaint Contact Normal Force},
author = {Morteza Azad and Valerio Ortenzi and Hsiu-Chin Lin and Elmar Rueckert and Michael Mistry},
url = {https://ai-lab.science/wp/Humanoids2016Azad.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_LocallyWeightedRegression_MEX_2015Rueckert.zip, MATLAB Code (fast LWR MEX-Function Implementation)},
year = {2016},
date = {2016-11-16},
booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
crossref = {p10986},
key = {codyco},
keywords = {constraint optimization, human motor control, inverse dynamics, model learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Rueckert, Elmar; Camernik, Jernej; Peters, Jan; Babic, Jan Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control Journal Article Nature Publishing Group: Scientific Reports, 6 (28455), 2016. BibTeX | Tags: human motor control, muscle synergies, postural control | Links: @article{Rueckert2016b,
title = {Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control},
author = {Elmar Rueckert and Jernej Camernik and Jan Peters and Jan Babic},
url = {https://ai-lab.science/wp/SciReps_HumanContacts.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_ProbabilisticTrajectoryModel_2016Rueckert.zip, MATLAB Code},
doi = {10.1038/srep28455},
year = {2016},
date = {2016-06-02},
journal = {Nature Publishing Group: Scientific Reports},
volume = {6},
number = {28455},
keywords = {human motor control, muscle synergies, postural control},
pubstate = {published},
tppubtype = {article}
}
|  |
Rueckert, Elmar; Kappel, David; Tanneberg, Daniel; Pecevski, Dejan; Peters, Jan Recurrent Spiking Networks Solve Planning Tasks Journal Article Nature Publishing Group: Scientific Reports, 6 (21142), 2016. BibTeX | Tags: RNN, spiking | Links: @article{Rueckert2016a,
title = {Recurrent Spiking Networks Solve Planning Tasks},
author = {Elmar Rueckert and David Kappel and Daniel Tanneberg and Dejan Pecevski and Jan Peters},
url = {https://ai-lab.science/wp/SciReps_NeuralPlanning.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_SpikingNeuralPlanning_2016Rueckert.zip, MATLAB Code},
doi = {10.1038/srep21142},
year = {2016},
date = {2016-01-15},
journal = {Nature Publishing Group: Scientific Reports},
volume = {6},
number = {21142},
keywords = {RNN, spiking},
pubstate = {published},
tppubtype = {article}
}
|  |
Kohlschuetter, Jan; Peters, Jan; Rueckert, Elmar Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities Inproceedings Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), 2016. BibTeX | Tags: graphical models, muscle synergies | Links: @inproceedings{Kohlschuetter2016,
title = {Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities},
author = {Jan Kohlschuetter and Jan Peters and Elmar Rueckert},
url = {https://ai-lab.science/wp/KohlschuetterMEDICON_2016.pdf, Article File},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON)},
crossref = {p10898},
key = {codyco, tacman},
keywords = {graphical models, muscle synergies},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Modugno, Valerio; Neumann, Gerhard; Rueckert, Elmar; Oriolo, Giuseppe; Peters, Jan; Ivaldi, Serena Learning soft task priorities for control of redundant robots Inproceedings Proceedings of the International Conference on Robotics and Automation (ICRA), 2016. BibTeX | Tags: constraint optimization, policy search | Links: @inproceedings{Modugno_PICRA_2016,
title = {Learning soft task priorities for control of redundant robots},
author = {Valerio Modugno and Gerhard Neumann and Elmar Rueckert and Giuseppe Oriolo and Jan Peters and Serena Ivaldi},
url = {https://ai-lab.science/wp/ICRA2016Modugno.pdf, Article File},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
crossref = {p10900},
key = {codyco},
keywords = {constraint optimization, policy search},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Sharma, David; Tanneberg, Daniel; Grosse-Wentrup, Moritz; Peters, Jan; Rueckert, Elmar Adaptive Training Strategies for BCIs Inproceedings Cybathlon Symposium, 2016. BibTeX | Tags: human motor control, Reinforcement Learning | Links: @inproceedings{Sharma2016,
title = {Adaptive Training Strategies for BCIs},
author = {David Sharma and Daniel Tanneberg and Moritz Grosse-Wentrup and Jan Peters and Elmar Rueckert},
url = {https://ai-lab.science/wp/Cybathlon2016Sharma.pdf, Article File},
year = {2016},
date = {2016-01-01},
booktitle = {Cybathlon Symposium},
crossref = {p10952},
keywords = {human motor control, Reinforcement Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Weber, Paul; Rueckert, Elmar; Calandra, Roberto; Peters, Jan; Beckerle, Philipp A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction Inproceedings Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016. BibTeX | Tags: graphical models | Links: @inproceedings{ROMANS16_daglove,
title = {A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction},
author = {Paul Weber and Elmar Rueckert and Roberto Calandra and Jan Peters and Philipp Beckerle},
url = {https://ai-lab.science/wp/ROMANS2016Weber.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_Arduino_SensorGlove_2015Rueckert.zip, MATLAB Code (JAVA Interface), ARDUINO Firmware
https://ai-lab.science/wp/resources/code/MATLAB_SensorGloveMexInterface_2015Rueckert.zip, MATLAB Code (MEX-Function Demo Interface)},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)},
crossref = {p10949},
key = {codyco},
keywords = {graphical models},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
2015
|
Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan Learning Inverse Dynamics Models with Contacts Inproceedings Proceedings of the International Conference on Robotics and Automation (ICRA), 2015. BibTeX | Tags: inverse dynamics, model learning, neural network | Links: @inproceedings{Calandra2015,
title = {Learning Inverse Dynamics Models with Contacts},
author = {Roberto Calandra and Serena Ivaldi and Marc Deisenroth and Elmar Rueckert and Jan Peters},
url = {https://ai-lab.science/wp/ICRA15Calandra.pdf, Article File},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
crossref = {p10794},
key = {codyco},
keywords = {inverse dynamics, model learning, neural network},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Rueckert, Elmar; Mundo, Jan; Paraschos, Alexandros; Peters, Jan; Neumann, Gerhard Extracting Low-Dimensional Control Variables for Movement Primitives Inproceedings Proceedings of the International Conference on Robotics and Automation (ICRA), 2015. BibTeX | Tags: movement primitives, Probabilistic Inference | Links: @inproceedings{Rueckert2015,
title = {Extracting Low-Dimensional Control Variables for Movement Primitives},
author = {Elmar Rueckert and Jan Mundo and Alexandros Paraschos and Jan Peters and Gerhard Neumann},
url = {https://ai-lab.science/wp/ICRA2015Rueckert.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_LatentManifoldPrimitives_2015Rueckert.zip, MATALB Code
https://ai-lab.science/wp/resources/videos/KUKA_LatentManifold_ProMPs_REAL_Elmar.mp4, Supplementary Video},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)},
crossref = {p10796},
key = {3rdhand, codyco},
keywords = {movement primitives, Probabilistic Inference},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard Model-Free Probabilistic Movement Primitives for Physical Interaction Inproceedings Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2015. BibTeX | Tags: inverse dynamics, movement primitives | Links: @inproceedings{Paraschos2015,
title = {Model-Free Probabilistic Movement Primitives for Physical Interaction},
author = {Alexandros Paraschos and Elmar Rueckert and Jan Peters and Gerhard Neumann},
url = {https://ai-lab.science/wp/IROS2015Paraschos.pdf, Article File},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS)},
crossref = {p10832},
key = {codyco},
keywords = {inverse dynamics, movement primitives},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
Rueckert, Elmar; Lioutikov, Rudolf; Calandra, Roberto; Schmidt, Marius; Beckerle, Philipp; Peters, Jan Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations Inproceedings ICRA 2015 Workshop on Tactile and force sensing for autonomous compliant intelligent robots, 2015. BibTeX | Tags: graphical models | Links: @inproceedings{Rueckert2015b,
title = {Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations},
author = {Elmar Rueckert and Rudolf Lioutikov and Roberto Calandra and Marius Schmidt and Philipp Beckerle and Jan Peters},
url = {https://ai-lab.science/wp/ICRA2015Rueckertb.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_Arduino_SensorGlove_2015Rueckert.zip, MATLAB Code (JAVA Interface), ARDUINO Firmware
https://ai-lab.science/wp/resources/code/MATLAB_SensorGloveMexInterface_2015Rueckert.zip, MATLAB Code (MEX-Function Demo Interface)},
year = {2015},
date = {2015-01-01},
booktitle = {ICRA 2015 Workshop on Tactile and force sensing for autonomous compliant intelligent robots},
crossref = {p10831},
key = {codyco},
keywords = {graphical models},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
2014
|
Rueckert, Elmar Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis Technical University Graz, 2014. BibTeX | Tags: graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking | Links: @phdthesis{Rueckert2014a,
title = {Biologically inspired motor skill learning in robotics through probabilistic inference},
author = {Elmar Rueckert},
url = {https://ai-lab.science/wp/PhDThesis2014Rueckert.pdf, Article File},
year = {2014},
date = {2014-02-04},
school = {Technical University Graz},
keywords = {graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking},
pubstate = {published},
tppubtype = {phdthesis}
}
|  |
Rueckert, Elmar; Mindt, Max; Peters, Jan; Neumann, Gerhard Robust Policy Updates for Stochastic Optimal Control Inproceedings Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014. BibTeX | Tags: policy search, Probabilistic Inference, SOC | Links: @inproceedings{Rueckert2014,
title = {Robust Policy Updates for Stochastic Optimal Control},
author = {Elmar Rueckert and Max Mindt and Jan Peters and Gerhard Neumann},
url = {https://ai-lab.science/wp/Humanoids2014Rueckert.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_RobustStochasticOptimalControl_2015Rueckert.zip, MATLAB Code},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)},
crossref = {p10768},
key = {codyco},
keywords = {policy search, Probabilistic Inference, SOC},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
2013
|
Rueckert, Elmar; d'Avella, Andrea Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems Journal Article Frontiers in Computational Neuroscience, 7 (138), 2013. BibTeX | Tags: locomotion, movement primitives, muscle synergies | Links: @article{Rueckert2013b,
title = {Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems},
author = {Elmar Rueckert and Andrea d'Avella},
url = {https://ai-lab.science/wp/Frontiers2013bRueckert.pdf, Article File
https://ai-lab.science/wp/resources/code/MATLAB_PlanarWalkerSimulator_2013Rueckert.zip, MATLAB Code (Planar Walker Simulator)
https://ai-lab.science/wp/resources/code/MATLAB_OpenSimMEXInterface_2013Rueckert.zip, MATLAB Code (OpenSim MEX-Function Interface)},
doi = {10.3389/fncom.2013.00138},
year = {2013},
date = {2013-10-17},
journal = {Frontiers in Computational Neuroscience},
volume = {7},
number = {138},
keywords = {locomotion, movement primitives, muscle synergies},
pubstate = {published},
tppubtype = {article}
}
|  |
Rueckert, Elmar; Neumann, Gerhard; Toussaint, Marc; Maass, Wolfgang Learned graphical models for probabilistic planning provide a new class of movement primitives Journal Article Frontiers in Computational Neuroscience, 6 (97), 2013. BibTeX | Tags: graphical models, movement primitives, Probabilistic Inference | Links: @article{Rueckert2013,
title = { Learned graphical models for probabilistic planning provide a new class of movement primitives},
author = {Elmar Rueckert and Gerhard Neumann and Marc Toussaint and Wolfgang Maass},
url = {https://ai-lab.science/wp/Frontiers2013aRueckert.pdf, Article File},
doi = {10.3389/fncom.2012.00097},
year = {2013},
date = {2013-01-02},
journal = {Frontiers in Computational Neuroscience},
volume = {6},
number = {97},
keywords = {graphical models, movement primitives, Probabilistic Inference},
pubstate = {published},
tppubtype = {article}
}
|  |
Rueckert, Elmar; d'Avella, Andrea Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems Inproceedings Abstracts of Neural Control of Movement Conference (NCM), Conference Talk, pp. 27–28, 2013. BibTeX | Tags: muscle synergies, policy search, Reinforcement Learning | Links: @inproceedings{Rueckert2013,
title = {Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems},
author = {Elmar Rueckert and Andrea d'Avella},
url = {https://ai-lab.science/wp/Frontiers2013bRueckert.pdf, Article File},
year = {2013},
date = {2013-01-01},
booktitle = {Abstracts of Neural Control of Movement Conference (NCM), Conference Talk},
pages = {27--28},
crossref = {p10682},
keywords = {muscle synergies, policy search, Reinforcement Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
2012
|
Rueckert, Elmar; Neumann, Gerhard Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Journal Article Artificial Life, 19 (1), 2012. BibTeX | Tags: morphological compuation, Probabilistic Inference, SOC | Links: @article{Rueckert2012,
title = {Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation},
author = {Elmar Rueckert and Gerhard Neumann},
url = {https://ai-lab.science/wp/ArtificialLife2012Rueckert.pdf, Article File},
doi = {10.1162/ARTL_a_00085},
year = {2012},
date = {2012-11-27},
journal = {Artificial Life},
volume = {19},
number = {1},
keywords = {morphological compuation, Probabilistic Inference, SOC},
pubstate = {published},
tppubtype = {article}
}
|  |
2011
|
Rueckert, Elmar; Neumann, Gerhard A study of Morphological Computation by using Probabilistic Inference for Motor Planning Inproceedings Proceedings of the 2nd International Conference on Morphological Computation (ICMC), pp. 51–53, 2011. BibTeX | Tags: graphical models, morphological compuation, Probabilistic Inference, SOC | Links: @inproceedings{Rueckert2011,
title = {A study of Morphological Computation by using Probabilistic Inference for Motor Planning},
author = {Elmar Rueckert and Gerhard Neumann},
url = {https://ai-lab.science/wp/ICMC2011Rueckert.pdf, Article File},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the 2nd International Conference on Morphological Computation (ICMC)},
pages = {51--53},
crossref = {p10680},
keywords = {graphical models, morphological compuation, Probabilistic Inference, SOC},
pubstate = {published},
tppubtype = {inproceedings}
}
|  |
2010
|
Rueckert, Elmar Simultaneous localisation and mapping for mobile robots with recent sensor technologies Masters Thesis Technical University Graz, 2010. BibTeX | Tags: Probabilistic Inference | Links: @mastersthesis{Rueckert2010,
title = {Simultaneous localisation and mapping for mobile robots with recent sensor technologies},
author = {Elmar Rueckert},
url = {https://ai-lab.science/wp/MScThesis2009Rueckert.pdf, Article File},
year = {2010},
date = {2010-01-28},
school = {Technical University Graz},
keywords = {Probabilistic Inference},
pubstate = {published},
tppubtype = {mastersthesis}
}
|  |