Elmar Rueckert

75 papers A* 7A 3B 1Misc 2Journal 41Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Master and Apprentice: Grounding Foundation Models for Symbiotic Interactive Learning in a Shared Latent Space. CoRR Linus Nwankwo, Bjoern Ellensohn, Christian Rauch, Elmar Rueckert
2025	A*	`conf`	EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial Awareness and Semantic Reasoning in Heterogeneous Environments. ICRA Linus Nwankwo, Bjoern Ellensohn, Vedant Dave, Peter Hofer, Jan Forstner, Marlene Villneuve, Robert Galler, Elmar Rueckert
2025	J	`jnl`	Instance segmentation pipeline for etch pit detection and prismatic slip characterization on silicon carbide substrates. Eng. Appl. Artif. Intell. Georg Holub, Sebastian Hofer, Thomas Obermüller, Elmar Rueckert, Lorenz Romaner
2025	J	`jnl`	Learning Robust Representations for Visual Reinforcement Learning via Task-Relevant Mask Sampling. Trans. Mach. Learn. Res. Vedant Dave, Ozan Özdenizci, Elmar Rueckert
2025	A*	`conf`	Privacy-Aware Lifelong Learning. ICLR Ozan Özdenizci, Elmar Rueckert, Robert Legenstein
2025	J	`jnl`	Privacy-Aware Lifelong Learning. CoRR Ozan Özdenizci, Elmar Rueckert, Robert Legenstein
2025	J	`jnl`	ReLI: A Language-Agnostic Approach to Human-Robot Interaction. CoRR Linus Nwankwo, Bjoern Ellensohn, Ozan Özdenizci, Elmar Rueckert
2025	J	`jnl`	Real-Time 3D Vision-Language Embedding Mapping. CoRR Christian Rauch, Bjoern Ellensohn, Linus Nwankwo, Vedant Dave, Elmar Rueckert
2025	J	`jnl`	Rock Classification through Knowledge-Enhanced Deep Learning: A Hybrid Mineral-Based Approach. CoRR Iye Szin Ang, Martin Johannes Findl, Elisabeth Hauzinger, Klaus Philipp Sedlazeck, Jyrki Savolainen, Ronald Bakker, Robert Galler, Elmar Rueckert
2025	A*	`conf`	Skill Disentanglement in Reproducing Kernel Hilbert Space. AAAI Vedant Dave, Elmar Rueckert
2025	—	`conf`	Sparsifying Instance Segmentation Models for Efficient Vision-Based Industrial Recycling. ECML/PKDD (10) Melanie Neubauer, Ozan Özdenizci, Justus H. Piater, Elmar Rueckert
2025	—	`conf`	Step Length Prediction in Real Time Using Probabilistic Movement Primitives. Humanoids Marko Jamsek, Elmar Rueckert, Jan Babic
2024	—	`conf`	Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions. UR Nikolaus Feith, Elmar Rueckert
2024	J	`jnl`	ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders. CoRR Fotios Lygerakis, Elmar Rueckert
2024	J	`jnl`	EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial Awareness and Semantic Reasoning in Heterogeneous Environments. CoRR Linus Nwankwo, Bjoern Ellensohn, Vedant Dave, Peter Hofer, Jan Forstner, Marlene Villneuve, Robert Galler, Elmar Rueckert
2024	—	`conf`	Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement. UR Nikolaus Feith, Elmar Rueckert
2024	J	`jnl`	Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement. CoRR Nikolaus Feith, Elmar Rueckert
2024	—	`conf`	M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation. UR Fotios Lygerakis, Vedant Dave, Elmar Rueckert
2024	J	`jnl`	M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation. CoRR Fotios Lygerakis, Vedant Dave, Elmar Rueckert
2024	J	`jnl`	Multimodal Human-Autonomous Agents Interaction Using Pre-Trained Language and Visual Foundation Models. CoRR Linus Nwankwo, Elmar Rueckert
2024	A*	`conf`	Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training. ICRA Vedant Dave, Fotios Lygerakis, Elmar Rueckert
2024	J	`jnl`	Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training. CoRR Vedant Dave, Fotios Lygerakis, Elmar Rueckert
2024	J	`jnl`	The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language. CoRR Linus Nwankwo, Elmar Rueckert
2024	—	`conf`	The Conversation is the Command: Interacting with Real-World Autonomous Robots Through Natural Language. HRI (Companion) Linus Nwankwo, Elmar Rueckert
2024	J	`jnl`	The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task. Sensors Tjasa Kunavar, Marko Jamsek, Edwin Johnatan Avila Mireles, Elmar Rueckert, Luka Peternel, Jan Babic
2023	J	`jnl`	CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse. CoRR Fotios Lygerakis, Elmar Rueckert
2023	—	`conf`	Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot. ICSTCC Harsh Yadav, Honghu Xue, Yan Rudall, Mohamed Bakr, Benedikt Hein, Elmar Rueckert, Ngoc Thinh Nguyen
2023	J	`jnl`	Understanding why SLAM algorithms fail in modern indoor environments. CoRR Nwankwo Linus, Elmar Rueckert
2022	—	`conf`	End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments. Humanoids Honghu Xue, Rui Song, Julian Petzold, Benedikt Hein, Heiko Hamann, Elmar Rueckert
2022	J	`jnl`	O2S: Open-source open shuttle. CoRR Nwankwo Linus, Fritze Clemens, Konrad Bartsch, Elmar Rueckert
2022	—	`conf`	Predicting full-arm grasping motions from anticipated tactile responses. Humanoids Vedant Dave, Elmar Rueckert
2022	J	`jnl`	Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics. CoRR Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert
2021	—	`conf`	A Probabilistic Approach for Complete Coverage Path Planning with low-cost Systems. ECMR Nils Rottmann, Robin Denz, Ralf Bruder, Elmar Rueckert
2021	—	`conf`	A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning. ICAR Robin Denz, Rabia Demirci, Mehmet Ege Cansev, Adna Bliek, Philipp Beckerle, Elmar Rueckert, Nils Rottmann
2021	J	`jnl`	Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers. CoRR Daniel Tanneberg, Elmar Rueckert, Jan Peters
2021	J	`jnl`	Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience. Adv. Intell. Syst. Mehmet Ege Cansev, Honghu Xue, Nils Rottmann, Adna Bliek, Luke E. Miller, Elmar Rueckert, Philipp Beckerle
2021	Misc	`ed.`	KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27 - October 1, 2021, Proceedings KI Stefan Edelkamp, Ralf Möller, Elmar Rueckert
2021	J	`jnl`	Predictive Exoskeleton Control for Arm-Motion Augmentation Based on Probabilistic Movement Primitives Combined With a Flow Controller. IEEE Robotics Autom. Lett. Marko Jamsek, Tjasa Kunavar, Urban Bobek, Elmar Rueckert, Jan Babic
2021	J	`jnl`	SKID RAW: Skill Discovery From Raw Trajectories. IEEE Robotics Autom. Lett. Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
2021	J	`jnl`	SKID RAW: Skill Discovery from Raw Trajectories. CoRR Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
2021	J	`jnl`	Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation. CoRR Honghu Xue, Rebecca Herzog, Till M. Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert
2021	J	`jnl`	Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation. Frontiers Robotics AI Honghu Xue, Rebecca Herzog, Till M. Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert
2020	J	`jnl`	Evolutionary training and abstraction yields algorithmic generalization of neural computers. Nat. Mach. Intell. Daniel Tanneberg, Elmar Rueckert, Jan Peters
2020	—	`conf`	Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors. IEEE SENSORS Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
2020	A	`conf`	Learning Hierarchical Acquisition Functions for Bayesian Optimization. IROS Nils Rottmann, Tjasa Kunavar, Jan Babic, Jan Peters, Elmar Rueckert
2020	J	`jnl`	Parameter Optimization for Loop Closure Detection in Closed Environments. CoRR Nils Rottmann, Ralf Bruder, Honghu Xue, Achim Schweikard, Elmar Rueckert
2020	J	`jnl`	ROS-Mobile: An Android application for the Robot Operating System. CoRR Nils Rottmann, Nico Studt, Floris Ernst, Elmar Rueckert
2019	—	`conf`	Cataglyphis Ant Navigation Strategies Solve the Global Localization Problem in Robots with Binary Sensors. BIOSIGNALS Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
2019	J	`jnl`	Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors. CoRR Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
2019	A	`conf`	Experience Reuse with Probabilistic Movement Primitives. IROS Svenja Stark, Jan Peters, Elmar Rueckert
2019	J	`jnl`	Experience Reuse with Probabilistic Movement Primitives. CoRR Svenja Stark, Jan Peters, Elmar Rueckert
2019	J	`jnl`	Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. Neural Networks Daniel Tanneberg, Jan Peters, Elmar Rueckert
2019	J	`jnl`	Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. CoRR Daniel Tanneberg, Elmar Rueckert, Jan Peters
2019	J	`jnl`	Learning walk and trot from the same objective using different types of exploration. CoRR Zinan Liu, Kai Ploeger, Svenja Stark, Elmar Rueckert, Jan Peters
2019	—	`conf`	Loop Closure Detection in Closed Environments. ECMR Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
2019	J	`jnl`	Loop Closure Detection in Closed Environments. CoRR Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert
2019	—	`conf`	REAL-2019: Robot open-Ended Autonomous Learning competition. NeurIPS (Competition and Demos) Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre
2018	J	`jnl`	Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks. CoRR Daniel Tanneberg, Jan Peters, Elmar Rueckert
2018	J	`jnl`	Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. CoRR Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
2018	J	`jnl`	Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. J. Mach. Learn. Res. Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
2018	J	`jnl`	Probabilistic movement primitives under unknown system dynamics. Adv. Robotics Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann
2017	—	`conf`	A comparison of distance measures for learning nonparametric motor skill libraries. Humanoids Svenja Stark, Jan Peters, Elmar Rueckert
2017	—	`conf`	Efficient online adaptation with stochastic recurrent neural networks. Humanoids Daniel Tanneberg, Jan Peters, Elmar Rueckert
2017	—	`conf`	Learning inverse dynamics models in O(n) time with LSTM networks. Humanoids Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, Jan Peters
2017	Misc	`conf`	Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. CoRL Daniel Tanneberg, Jan Peters, Elmar Rueckert
2016	B	`conf`	A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction. RO-MAN Paul Weber, Elmar Rueckert, Roberto Calandra, Jan Peters, Philipp Beckerle
2016	—	`conf`	Deep spiking networks for model-based planning in humanoids. Humanoids Daniel Tanneberg, Alexandros Paraschos, Jan Peters, Elmar Rueckert
2016	A*	`conf`	Learning soft task priorities for control of redundant robots. ICRA Valerio Modugno, Gerhard Neumann, Elmar Rueckert, Giuseppe Oriolo, Jan Peters, Serena Ivaldi
2016	—	`conf`	Model estimation and control of compliant contact normal force. Humanoids Morteza Azad, Valerio Ortenzi, Hsiu-Chin Lin, Elmar Rueckert, Michael N. Mistry
2015	A*	`conf`	Extracting low-dimensional control variables for movement primitives. ICRA Elmar Rueckert, Jan Mundo, Alexandros Paraschos, Jan Peters, Gerhard Neumann
2015	A*	`conf`	Learning inverse dynamics models with contacts. ICRA Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters
2015	J	`jnl`	Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. CoRR Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra, Marius Schmidt, Philipp Beckerle, Jan Peters
2015	A	`conf`	Model-free Probabilistic Movement Primitives for physical interaction. IROS Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann
2014	—	`conf`	Robust policy updates for stochastic optimal control. Humanoids Elmar Rueckert, Max Mindt, Jan Peters, Gerhard Neumann
2013	J	`jnl`	Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers Comput. Neurosci. Elmar Rueckert, Andrea d'Avella