Publications

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2021

Cansev, Mehmet Ege; Xue, Honghu; Rottmann, Nils; Bliek, Adna; Miller, Luke E; Rueckert, Elmar; Beckerle, Philipp

Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience Journal Article

Advanced Intelligent Systems, pp. 1–28, 2021.

Links | BibTeX | Tags: human motor control, intrinsic motivation, movement primitives, Probabilistic Inference, Reinforcement Learning, spiking

Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience

2020

Rottmann, N; Kunavar, T; Babič, J; Peters, J; Rueckert, E

Learning Hierarchical Acquisition Functions for Bayesian Optimization Inproceedings

International Conference on Intelligent Robots and Systems (IROS’ 2020), 2020.

Links | BibTeX | Tags: Reinforcement Learning

Learning Hierarchical Acquisition Functions for Bayesian Optimization

Rottmann, N; Bruder, R; Xue, H; Schweikard, A; Rueckert, E

Parameter Optimization for Loop Closure Detection in Closed Environments Inproceedings

Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS), pp. 1–8, 2020.

Links | BibTeX | Tags: mobile navigation, Reinforcement Learning

Parameter Optimization for Loop Closure Detection in Closed Environments

Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan

Evolutionary training and abstraction yields algorithmic generalization of neural computers Journal Article

Nature Machine Intelligence, pp. 1–11, 2020.

Links | BibTeX | Tags: neural network, Reinforcement Learning, Transfer Learning

Evolutionary training and abstraction yields algorithmic generalization of neural computers

Xue, H; Boettger, S; Rottmann, N; Pandya, H; Bruder, R; Neumann, G; Schweikard, A; Rueckert, E

Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks Inproceedings

International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2020), 2020.

Links | BibTeX | Tags: Manipulation, Reinforcement Learning

Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks

2019

Stark, Svenja; Peters, Jan; Rueckert, Elmar

Experience Reuse with Probabilistic Movement Primitives Inproceedings

Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2019., 2019.

Links | BibTeX | Tags: movement primitives, Reinforcement Learning, Transfer Learning

Experience Reuse with Probabilistic Movement Primitives

Rueckert, Elmar; Jauer, Philipp; Derksen, Alexander; Schweikard, Achim

Dynamic Control Strategies for Cable-Driven Master Slave Robots Inproceedings

Keck, Tobias (Ed.): Proceedings on Minimally Invasive Surgery, Luebeck, Germany, 2019, (January 24-25, 2019).

Links | BibTeX | Tags: Medical Robotics, Reinforcement Learning

Dynamic Control Strategies for Cable-Driven Master Slave Robots

2016

Sharma, David; Tanneberg, Daniel; Grosse-Wentrup, Moritz; Peters, Jan; Rueckert, Elmar

Adaptive Training Strategies for BCIs Inproceedings

Cybathlon Symposium, 2016.

Links | BibTeX | Tags: human motor control, Reinforcement Learning

Adaptive Training Strategies for BCIs

2014

Rueckert, Elmar

Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis

Technical University Graz, 2014.

Links | BibTeX | Tags: graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking

Biologically inspired motor skill learning in robotics through probabilistic inference

2013

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.

Links | BibTeX | Tags: muscle synergies, policy search, Reinforcement Learning

Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems

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Journal Articles

Cansev, Mehmet Ege; Xue, Honghu; Rottmann, Nils; Bliek, Adna; Miller, Luke E; Rueckert, Elmar; Beckerle, Philipp

Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience Journal Article

Advanced Intelligent Systems, pp. 1–28, 2021.

Links | BibTeX

Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan

Evolutionary training and abstraction yields algorithmic generalization of neural computers Journal Article

Nature Machine Intelligence, pp. 1–11, 2020.

Links | BibTeX

Inproceedings

Rottmann, N; Kunavar, T; Babič, J; Peters, J; Rueckert, E

Learning Hierarchical Acquisition Functions for Bayesian Optimization Inproceedings

International Conference on Intelligent Robots and Systems (IROS’ 2020), 2020.

Links | BibTeX

Rottmann, N; Bruder, R; Xue, H; Schweikard, A; Rueckert, E

Parameter Optimization for Loop Closure Detection in Closed Environments Inproceedings

Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS), pp. 1–8, 2020.

Links | BibTeX

Xue, H; Boettger, S; Rottmann, N; Pandya, H; Bruder, R; Neumann, G; Schweikard, A; Rueckert, E

Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks Inproceedings

International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2020), 2020.

Links | BibTeX

Stark, Svenja; Peters, Jan; Rueckert, Elmar

Experience Reuse with Probabilistic Movement Primitives Inproceedings

Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2019., 2019.

Links | BibTeX

Rueckert, Elmar; Jauer, Philipp; Derksen, Alexander; Schweikard, Achim

Dynamic Control Strategies for Cable-Driven Master Slave Robots Inproceedings

Keck, Tobias (Ed.): Proceedings on Minimally Invasive Surgery, Luebeck, Germany, 2019, (January 24-25, 2019).

Links | BibTeX

Sharma, David; Tanneberg, Daniel; Grosse-Wentrup, Moritz; Peters, Jan; Rueckert, Elmar

Adaptive Training Strategies for BCIs Inproceedings

Cybathlon Symposium, 2016.

Links | BibTeX

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.

Links | BibTeX

PhD Theses

Rueckert, Elmar

Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis

Technical University Graz, 2014.

Links | BibTeX