Elmar Rueckert

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 59

Top Topics

Autonomous Robots

Reinforcement Learning

Recurrent Neural Networks

Complete Coverage

Top Venues

Publications

Vedant Dave, Fotios Lygerakis, Elmar Rueckert
Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training. ICRA (2024)
Fotios Lygerakis, Elmar Rueckert
ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders. CoRR (2024)
Tjasa Kunavar, Marko Jamsek, Edwin Johnatan Avila Mireles, Elmar Rueckert, Luka Peternel, Jan Babic
The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task. Sensors 24 (4) (2024)
Linus Nwankwo, Elmar Rueckert
Multimodal Human-Autonomous Agents Interaction Using Pre-Trained Language and Visual Foundation Models. CoRR (2024)
Fotios Lygerakis, Vedant Dave, Elmar Rueckert
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation. UR (2024)
Linus Nwankwo, Elmar Rueckert
The Conversation is the Command: Interacting with Real-World Autonomous Robots Through Natural Language. HRI (Companion) (2024)
Fotios Lygerakis, Vedant Dave, Elmar Rueckert
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation. CoRR (2024)
Nikolaus Feith, Elmar Rueckert
Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions. UR (2024)
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training. CoRR (2024)
Linus Nwankwo, Elmar Rueckert
The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language. CoRR (2024)
Nikolaus Feith, Elmar Rueckert
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement. UR (2024)
Nikolaus Feith, Elmar Rueckert
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement. CoRR (2024)
Harsh Yadav, Honghu Xue, Yan Rudall, Mohamed Bakr, Benedikt Hein, Elmar Rueckert, Ngoc Thinh Nguyen
Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot. ICSTCC (2023)
Fotios Lygerakis, Elmar Rueckert
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse. CoRR (2023)
Nwankwo Linus, Elmar Rueckert
Understanding why SLAM algorithms fail in modern indoor environments. CoRR (2023)
Vedant Dave, Elmar Rueckert
Predicting full-arm grasping motions from anticipated tactile responses. Humanoids (2022)
Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert
Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics. CoRR (2022)
Nwankwo Linus, Fritze Clemens, Konrad Bartsch, Elmar Rueckert
O2S: Open-source open shuttle. CoRR (2022)
Honghu Xue, Rui Song, Julian Petzold, Benedikt Hein, Heiko Hamann, Elmar Rueckert
End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments. Humanoids (2022)
Marko Jamsek, Tjasa Kunavar, Urban Bobek, Elmar Rueckert, Jan Babic
Predictive Exoskeleton Control for Arm-Motion Augmentation Based on Probabilistic Movement Primitives Combined With a Flow Controller. IEEE Robotics Autom. Lett. 6 (3) (2021)
Daniel Tanneberg, Elmar Rueckert, Jan Peters
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers. CoRR (2021)
Honghu Xue, Rebecca Herzog, Till M. Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert
Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation. CoRR (2021)
Mehmet Ege Cansev, Honghu Xue, Nils Rottmann, Adna Bliek, Luke E. Miller, Elmar Rueckert, Philipp Beckerle
Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience. Adv. Intell. Syst. 3 (7) (2021)
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
SKID RAW: Skill Discovery From Raw Trajectories. IEEE Robotics Autom. Lett. 6 (3) (2021)
Robin Denz, Rabia Demirci, Mehmet Ege Cansev, Adna Bliek, Philipp Beckerle, Elmar Rueckert, Nils Rottmann
A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning. ICAR (2021)
Honghu Xue, Rebecca Herzog, Till M. Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert
Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation. Frontiers Robotics AI 8 (2021)
Nils Rottmann, Robin Denz, Ralf Bruder, Elmar Rueckert
A Probabilistic Approach for Complete Coverage Path Planning with low-cost Systems. ECMR (2021)
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
SKID RAW: Skill Discovery from Raw Trajectories. CoRR (2021)
Daniel Tanneberg, Elmar Rueckert, Jan Peters
Evolutionary training and abstraction yields algorithmic generalization of neural computers. Nat. Mach. Intell. 2 (12) (2020)
Nils Rottmann, Tjasa Kunavar, Jan Babic, Jan Peters, Elmar Rueckert
Learning Hierarchical Acquisition Functions for Bayesian Optimization. IROS (2020)
Nils Rottmann, Ralf Bruder, Honghu Xue, Achim Schweikard, Elmar Rueckert
Parameter Optimization for Loop Closure Detection in Closed Environments. CoRR (2020)
Nils Rottmann, Nico Studt, Floris Ernst, Elmar Rueckert
ROS-Mobile: An Android application for the Robot Operating System. CoRR (2020)
Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors. IEEE SENSORS (2020)
Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors. CoRR (2019)
Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
Loop Closure Detection in Closed Environments. ECMR (2019)
Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
Cataglyphis Ant Navigation Strategies Solve the Global Localization Problem in Robots with Binary Sensors. BIOSIGNALS (2019)
Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
Loop Closure Detection in Closed Environments. CoRR (2019)
Daniel Tanneberg, Elmar Rueckert, Jan Peters
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. CoRR (2019)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. Neural Networks 109 (2019)
Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre
REAL-2019: Robot open-Ended Autonomous Learning competition. NeurIPS (Competition and Demos) (2019)
Zinan Liu, Kai Ploeger, Svenja Stark, Elmar Rueckert, Jan Peters
Learning walk and trot from the same objective using different types of exploration. CoRR (2019)
Svenja Stark, Jan Peters, Elmar Rueckert
Experience Reuse with Probabilistic Movement Primitives. IROS (2019)
Svenja Stark, Jan Peters, Elmar Rueckert
Experience Reuse with Probabilistic Movement Primitives. CoRR (2019)
Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. CoRR (2018)
Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann
Probabilistic movement primitives under unknown system dynamics. Adv. Robotics 32 (6) (2018)
Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. J. Mach. Learn. Res. 19 (2018)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks. CoRR (2018)
Svenja Stark, Jan Peters, Elmar Rueckert
A comparison of distance measures for learning nonparametric motor skill libraries. Humanoids (2017)
Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, Jan Peters
Learning inverse dynamics models in O(n) time with LSTM networks. Humanoids (2017)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Efficient online adaptation with stochastic recurrent neural networks. Humanoids (2017)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. CoRL (2017)
Paul Weber, Elmar Rueckert, Roberto Calandra, Jan Peters, Philipp Beckerle
A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction. RO-MAN (2016)
Valerio Modugno, Gerhard Neumann, Elmar Rueckert, Giuseppe Oriolo, Jan Peters, Serena Ivaldi
Learning soft task priorities for control of redundant robots. ICRA (2016)
Morteza Azad, Valerio Ortenzi, Hsiu-Chin Lin, Elmar Rueckert, Michael N. Mistry
Model estimation and control of compliant contact normal force. Humanoids (2016)
Daniel Tanneberg, Alexandros Paraschos, Jan Peters, Elmar Rueckert
Deep spiking networks for model-based planning in humanoids. Humanoids (2016)
Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters
Learning inverse dynamics models with contacts. ICRA (2015)
Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann
Model-free Probabilistic Movement Primitives for physical interaction. IROS (2015)
Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra, Marius Schmidt, Philipp Beckerle, Jan Peters
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. CoRR (2015)
Elmar Rueckert, Jan Mundo, Alexandros Paraschos, Jan Peters, Gerhard Neumann
Extracting low-dimensional control variables for movement primitives. ICRA (2015)
Elmar Rueckert, Max Mindt, Jan Peters, Gerhard Neumann
Robust policy updates for stochastic optimal control. Humanoids (2014)
Elmar Rueckert, Andrea d'Avella
Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers Comput. Neurosci. 7 (2013)