Publications

image_pdfimage_print

Publication List with Images

2024

Kunavar, Tjasa; Jamšek, Marko; Avila-Mireles, Edwin Johnatan; Rueckert, Elmar; Peternel, Luka; Babič., Jan

The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task Journal Article

In: Sensors (MDPI), vol. 24, no. 4, pp. 1–17, 2024.

Links | BibTeX | Tags: Human motion analysis

The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task

Lygerakis, Fotios; Dave, Vedant; Rueckert, Elmar

M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation Conference Forthcoming

arXiv:2401.17032 [cs.RO], Forthcoming.

Links | BibTeX | Tags: Contrastive Learning, Manipulation, Multimodal Reinforcement Learning, Multimodal Representation Learning, Reinforcement Learning, Robot Learning

M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation

Dave*, Vedant; Lygerakis*, Fotios; Rueckert, Elmar

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training Proceedings Article

In: IEEE International Conference on Robotics and Automation (ICRA 2024)., 2024, (* equal contribution).

Links | BibTeX | Tags: Contrastive Learning, Representation Learning, Self-supervised Learning, Tactile Sensing

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training

Nwankwo, Linus; Rueckert, Elmar

The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language Proceedings Article

In: ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion)., 2024, (Published as late breaking results. Supplementary video: https://cloud.cps.unileoben.ac.at/index.php/s/fRE9XMosWDtJ339 ).

Links | BibTeX | Tags: Autonomous Navigation, Large Language Models

The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language

2023

Lygerakis, Fotios; Rueckert, Elmar

CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse Proceedings Article

In: Asian Conference of Artificial Intelligence Technology (ACAIT)., IEEE, 2023.

Links | BibTeX | Tags: Representation Learning, Self-supervised Learning

CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse

Yadav, Harsh; Xue, Honghu; Rudall, Yan; Bakr, Mohamed; Hein, Benedikt; Rueckert, Elmar; Nguyen, Ngoc Thinh

Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot Proceedings Article

In: International Conference on System Theory, Control and Computing (ICSTCC), 2023, (October 11-13, 2023, Timisoara, Romania.).

Links | BibTeX | Tags: Autonomous Navigation, Deep Learning, Reinforcement Learning

Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot

Nwankwo, Linus; Rueckert, Elmar

Understanding why SLAM algorithms fail in modern indoor environments Proceedings Article

In: International Conference on Robotics in Alpe-Adria-Danube Region (RAAD). , pp. 186 – 194, Cham: Springer Nature Switzerland., 2023.

Abstract | Links | BibTeX | Tags: mobile navigation, robotics, SLAM

Understanding why SLAM algorithms fail in modern indoor environments

Nwankwo, Linus; Fritze, Clemens; Bartsch, Konrad; Rueckert, Elmar

ROMR: A ROS-based Open-source Mobile Robot Journal Article

In: HardwareX, vol. 15, pp. 1–29, 2023.

Abstract | Links | BibTeX | Tags: Autonomous Navigation, mobile navigation, SLAM

ROMR: A ROS-based Open-source Mobile Robot

Yadav, Harsh; Xue, Honghu; Rudall, Yan; Bakr, Mohamed; Hein, Benedikt; Rueckert, Elmar; Nguyen, Thinh

Deep Reinforcement Learning for Autonomous Navigation in Intralogistics Workshop

2023, (European Control Conference (ECC) Workshop, Extended Abstract.).

Abstract | Links | BibTeX | Tags: Autonomous Navigation, Deep Learning, mobile navigation, SLAM

Deep Reinforcement Learning for Autonomous Navigation in Intralogistics

Keshavarz, Sahar; Vita, Petr; Rueckert, Elmar; Ortner, Ronald; Thonhauser, Gerhard

A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction Proceedings Article

In: Society of Petroleum Engineers – SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023, Society of Petroleum Engineers., 2023, ISBN: 9781613999882.

Links | BibTeX | Tags: Reinforcement Learning, Well Construction

A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction

2022

Dave, Vedant; Rueckert, Elmar

Can we infer the full-arm manipulation skills from tactile targets? Workshop

International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX | Tags: Grasping, Manipulation, Probabilistic Movement Primitives, Tactile Sensing

Can we infer the full-arm manipulation skills from tactile targets?

Xue, Honghu; Song, Rui; Petzold, Julian; Hein, Benedikt; Hamann, Heiko; Rueckert, Elmar

End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments Proceedings Article

In: International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX | Tags: Autonomous Navigation, Deep Learning, mobile navigation

End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments

Dave, Vedant; Rueckert, Elmar

Predicting full-arm grasping motions from anticipated tactile responses Proceedings Article

In: International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX | Tags: Grasping, Manipulation, Probabilistic Movement Primitives, Tactile Sensing

Predicting full-arm grasping motions from anticipated tactile responses

Herzog, Rebecca; Berger, Till M; Pauly, Martje Gesine; Xue, Honghu; Rueckert, Elmar; Munchau, Alexander; B"aumer, Tobias; Weissbach, Anne

Cerebellar transcranial current stimulation-an intraindividual comparison of different techniques Journal Article

In: Frontiers in Neuroscience, 2022.

Links | BibTeX | Tags: Human motion analysis, human motor control, machine learning, Medical Robotics

Cerebellar transcranial current stimulation-an intraindividual comparison of different techniques

Rottmann, Nils; Studt, Nico; Ernst, Floris; Rueckert, Elmar

ROS-Mobile: An Android™ application for the Robot Operating System Journal Article

In: Arxiv, 2022.

Links | BibTeX | Tags: Autonomous Navigation, mobile navigation, Simulation

ROS-Mobile: An Android™ application for the Robot Operating System

Xue, Honghu; Hein, Benedikt; Bakr, Mohamed; Schildbach, Georg; Abel, Bengt; Rueckert, Elmar

Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Journal Article

In: Applied Sciences (MDPI), Special Issue on Intelligent Robotics, 2022, (Supplement: https://cloud.cps.unileoben.ac.at/index.php/s/Sj68rQewnkf4ppZ).

Abstract | Links | BibTeX | Tags: Autonomous Navigation, Deep Learning, mobile navigation, Reinforcement Learning

Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics

Leonel, Rozo*; Vedant, Dave*

Orientation Probabilistic Movement Primitives on Riemannian Manifolds Proceedings Article

In: Conference on Robot Learning (CoRL), pp. 11, 2022, (* equal contribution).

Abstract | Links | BibTeX | Tags: Manipulation, Probabilistic Movement Primitives, Riemannian Manifolds

Orientation Probabilistic Movement Primitives on Riemannian Manifolds

2021

Denz, R.; Demirci, R.; Cansev, E.; Bliek, A.; Beckerle, P.; Rueckert, E.; Rottmann, N.

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning Proceedings Article

In: International Conference on Advanced Robotics , pp. 7, 2021.

Links | BibTeX | Tags: Grasping, human motor control, Manipulation, smart sensors

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning

Rottmann, N.; Denz, R.; Bruder, R.; Rueckert, E.

Probabilistic Approach for Complete Coverage Path Planning with low-cost Systems Proceedings Article

In: European Conference on Mobile Robots (ECMR 2021), 2021.

Links | BibTeX | Tags: mobile navigation, Probabilistic Inference

Probabilistic Approach for Complete Coverage Path Planning with low-cost Systems

Xue, Honghu; Herzog, Rebecca; Berger, Till M.; Bäumer, Tobias; Weissbach, Anne; Rueckert, Elmar

Using Probabilistic Movement Primitives in analyzing human motion differences under Transcranial Current Stimulation Journal Article

In: Frontiers in Robotics and AI , vol. 8, 2021, ISSN: 2296-9144.

Abstract | Links | BibTeX | Tags: Finger Tapping Motion, Human motion analysis, machine learning, Probabilistic Movement Primitives, Transcranial current stimulation

Using Probabilistic Movement Primitives in analyzing human motion differences under Transcranial Current Stimulation

Lygerakis, Fotios; Dagioglou, Maria; Karkaletsis, Vangelis

Accelerating Human-Agent Collaborative Reinforcement Learning Conference

In Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA '21), Association for Computing Machinery, New York, NY, USA, 90–92, 2021.

Links | BibTeX | Tags: Human-Robot Collaboration, Human-Robot Interaction, Reinforcement Learning

Accelerating Human-Agent Collaborative Reinforcement Learning

Banerjee, Debapriya; Lygerakis, Fotios; Makedon, Fillia

Sequential Late Fusion Technique for Multi-modal Sentiment Analysis Conference

In Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA '21), Association for Computing Machinery, New York, NY, USA, 264–265. , 2021.

Links | BibTeX | Tags: Deep Learning, Multimodal Fusion, Sentiment Analysis

Sequential Late Fusion Technique for Multi-modal Sentiment Analysis

Tanneberg, Daniel; Ploeger, Kai; Rueckert, Elmar; Peters, Jan

SKID RAW: Skill Discovery from Raw Trajectories Journal Article

In: IEEE Robotics and Automation Letters (RA-L), pp. 1–8, 2021, ISSN: 2377-3766, (© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.).

Links | BibTeX | Tags: Manipulation, movement primitives, Probabilistic Inference

SKID RAW: Skill Discovery from Raw Trajectories

Jamsek, Marko; Kunavar, Tjasa; Bobek, Urban; Rueckert, Elmar; Babic, Jan

Predictive exoskeleton control for arm-motion augmentation based on probabilistic movement primitives combined with a flow controller Journal Article

In: IEEE Robotics and Automation Letters (RA-L), pp. 1–8, 2021, ISSN: 2377-3766, (© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.).

Links | BibTeX | Tags: human motor control, movement primitives

Predictive exoskeleton control for arm-motion augmentation based on probabilistic movement primitives combined with a flow controller

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

In: 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

Kyrarini, Maria; Lygerakis, Fotios; Rajavenkatanarayanan, Akilesh; Sevastopoulos, Christos; Nambiappan, Harish Ram; Chaitanya, Kodur Krishna; Babu, Ashwin Ramesh; Mathew, Joanne; Makedon, Fillia

A Survey of Robots in Healthcare Journal Article

In: Technologies, vol. 9, iss. 8, 2021.

Links | BibTeX | Tags: Assistive Robots, Care Robot, Healthcare, Hospital Robots, Nursing Robots, Rehabilitation Robots, Robots, Walking Assisting Robots

 A Survey of Robots in Healthcare

2020

Akbulut, M Tuluhan; Oztop, Erhan; Seker, M Yunus; Xue, Honghu; Tekden, Ahmet E; Ugur, Emre

ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing Proceedings Article

In: 2020.

Abstract | Links | BibTeX | Tags: Deep Learning, movement primitives, Transfer Learning

ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors Proceedings Article

In: IEEE SENSORS , pp. 1–4, 2020.

Links | BibTeX | Tags: mobile navigation, smart sensors

Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors

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

Learning Hierarchical Acquisition Functions for Bayesian Optimization Proceedings Article

In: 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 Proceedings Article

In: 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

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

A novel Chlorophyll Fluorescence based approach for Mowing Area Classification Journal Article

In: IEEE Sensors Journal, 2020.

Links | BibTeX | Tags: mobile navigation, smart sensors

A novel Chlorophyll Fluorescence based approach for Mowing Area Classification

Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan

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

In: 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

Tolga-Can Çallar, Elmar Rueckert; Böttger, Sven

Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates Proceedings Article

In: 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), 2020.

Links | BibTeX | Tags: Medical Robotics

Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates

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 Proceedings Article

In: 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

Lygerakis, Fotios; Tsitos, Athanasios C; Dagioglou, Maria; Makedon, Fillia; Karkaletsis, Vangelis

Evaluation of 3D markerless pose estimation accuracy using openpose and depth information from a single RGB-D camera Conference

In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '20), Article 75, 1–6 Association for Computing Machinery, New York, NY, USA, 2020.

Links | BibTeX | Tags: computer vision

Evaluation of 3D markerless pose estimation accuracy using openpose and depth information from a single RGB-D camera

Cartoni, E.; Mannella, F.; Santucci, V. G.; Triesch, J.; Rueckert, E.; Baldassarre, G.

REAL-2019: Robot open-Ended Autonomous Learning competition Journal Article

In: Proceedings of Machine Learning Research, vol. 123, pp. 142-152, 2020, (NeurIPS 2019 Competition and Demonstration Track).

Links | BibTeX | Tags: Manipulation, Simulation

REAL-2019: Robot open-Ended Autonomous Learning competition

Diakoloukas, Vassilios; Lygerakis, Fotios; Lagoudakis, Michail G; Kotti, Margarita

Variational Denoising Autoencoders and Least-Squares Policy Iteration for Statistical Dialogue Manager Journal Article

In: IEEE Signal Processing Letters , vol. 27, pp. 960-964, 2020.

Links | BibTeX | Tags: Dialogue Systems, LSPI, Reinforcement Learning, Variational Autoencoders

Variational Denoising Autoencoders and Least-Squares Policy Iteration for Statistical Dialogue Manager

2019

Lygerakis, Fotios; Diakoloulas, Vassilios; Lagoudakis, Michail; Kotti, Margarita

Robust Belief State Space Representation for Statistical Dialogue Managers Using Deep Autoencoders Conference

2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019.

Links | BibTeX | Tags: Dialogue Systems, Feature Extraction, Reinforcement Learning, Variational Autoencoders

Robust Belief State Space Representation for Statistical Dialogue Managers Using Deep Autoencoders

Stark, Svenja; Peters, Jan; Rueckert, Elmar

Experience Reuse with Probabilistic Movement Primitives Proceedings Article

In: 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

Boettger, S.; Callar, T. C.; Schweikard, A.; Rueckert, E.

Medical robotics simulation framework for application-specific optimal kinematics Proceedings Article

In: Current Directions in Biomedical Engineering 2019, pp. 1–5, 2019.

Links | BibTeX | Tags: Medical Robotics

Medical robotics simulation framework for application-specific optimal kinematics

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

Loop Closure Detection in Closed Environments Proceedings Article

In: European Conference on Mobile Robots (ECMR 2019), 2019, ISBN: 978-1-7281-3605-9.

Links | BibTeX | Tags: mobile navigation

Loop Closure Detection in Closed Environments

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors Proceedings Article

In: Proceedings of International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), Prague, Czech Republic , 2019, ( February 22-24, 2019).

Links | BibTeX | Tags: constraint optimization, mobile navigation, Simulation

Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors

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

Dynamic Control Strategies for Cable-Driven Master Slave Robots Proceedings Article

In: 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

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Journal Article

In: Neural Networks – Elsevier, vol. 109, pp. 67-80, 2019, ISBN: 0893-6080, (Impact Factor of 7.197 (2017)).

Links | BibTeX | Tags: neural network, Probabilistic Inference, RNN, spiking

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks

2018

Gondaliya, Kaushikkumar D.; Peters, Jan; Rueckert, Elmar

Learning to Categorize Bug Reports with LSTM Networks Proceedings Article

In: Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID)., pp. 6, XPS (Xpert Publishing Services), Nice, France, 2018, ISBN: 978-1-61208-671-2, ( October 14-18, 2018).

Links | BibTeX | Tags: Natural Language Processing, neural network, RNN

Learning to Categorize Bug Reports with LSTM Networks

Sosic, Adrian; Zoubir, Abdelhak M.; Rueckert, Elmar; Peters, Jan; Koeppl, Heinz

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling Journal Article

In: Journal of Machine Learning Research (JMLR), vol. 19, no. 69, pp. 1-45, 2018.

Links | BibTeX | Tags: movement primitives, Probabilistic Inference, Simulation

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling

Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard

Probabilistic Movement Primitives under Unknown System Dynamics Journal Article

In: Advanced Robotics (ARJ), vol. 32, no. 6, pp. 297-310, 2018.

Links | BibTeX | Tags: inverse dynamics, model learning, movement primitives

Probabilistic Movement Primitives under Unknown System Dynamics

2017

Rueckert, Elmar; Nakatenus, Moritz; Tosatto, Samuele; Peters, Jan

Learning Inverse Dynamics Models in O(n) time with LSTM networks Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX | Tags: inverse dynamics, model learning, RNN

Learning Inverse Dynamics Models in O(n) time with LSTM networks

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Efficient Online Adaptation with Stochastic Recurrent Neural Networks Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX | Tags: intrinsic motivation, RNN, spiking

Efficient Online Adaptation with Stochastic Recurrent Neural Networks

Stark, Svenja; Peters, Jan; Rueckert, Elmar

A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX | Tags: intrinsic motivation, movement primitives

A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries

Thiem, Simon; Stark, Svenja; Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Simulation of the underactuated Sake Robotics Gripper in V-REP Proceedings Article

In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX | Tags: Manipulation, Simulation

Simulation of the underactuated Sake Robotics Gripper in V-REP

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Proceedings Article

In: Proceedings of the Conference on Robot Learning (CoRL), 2017.

Links | BibTeX | Tags: intrinsic motivation, RNN, spiking

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

2016

Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar

Deep Spiking Networks for Model-based Planning in Humanoids Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

Links | BibTeX | Tags: model learning, RNN, spiking

Deep Spiking Networks for Model-based Planning in Humanoids

Azad, Morteza; Ortenzi, Valerio; Lin, Hsiu-Chin; Rueckert, Elmar; Mistry, Michael

Model Estimation and Control of Complaint Contact Normal Force Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

Links | BibTeX | Tags: constraint optimization, human motor control, inverse dynamics, model learning

Model Estimation and Control of Complaint Contact Normal Force

Rueckert, Elmar; Camernik, Jernej; Peters, Jan; Babic, Jan

Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control Journal Article

In: Nature Publishing Group: Scientific Reports, vol. 6, no. 28455, 2016.

Links | BibTeX | Tags: human motor control, muscle synergies, postural control

Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control

Rueckert, Elmar; Kappel, David; Tanneberg, Daniel; Pecevski, Dejan; Peters, Jan

Recurrent Spiking Networks Solve Planning Tasks Journal Article

In: Nature Publishing Group: Scientific Reports, vol. 6, no. 21142, 2016.

Links | BibTeX | Tags: RNN, spiking

Recurrent Spiking Networks Solve Planning Tasks

Kohlschuetter, Jan; Peters, Jan; Rueckert, Elmar

Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities Proceedings Article

In: Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), 2016.

Links | BibTeX | Tags: graphical models, muscle synergies

Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities

Modugno, Valerio; Neumann, Gerhard; Rueckert, Elmar; Oriolo, Giuseppe; Peters, Jan; Ivaldi, Serena

Learning soft task priorities for control of redundant robots Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2016.

Links | BibTeX | Tags: constraint optimization, policy search

Learning soft task priorities for control of redundant robots

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

Adaptive Training Strategies for BCIs Proceedings Article

In: Cybathlon Symposium, 2016.

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

Adaptive Training Strategies for BCIs

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 Proceedings Article

In: Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016.

Links | BibTeX | Tags: graphical models

A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction

2015

Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan

Learning Inverse Dynamics Models with Contacts Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.

Links | BibTeX | Tags: inverse dynamics, model learning, neural network

Learning Inverse Dynamics Models with Contacts

Rueckert, Elmar; Mundo, Jan; Paraschos, Alexandros; Peters, Jan; Neumann, Gerhard

Extracting Low-Dimensional Control Variables for Movement Primitives Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.

Links | BibTeX | Tags: movement primitives, Probabilistic Inference

Extracting Low-Dimensional Control Variables for Movement Primitives

Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard

Model-Free Probabilistic Movement Primitives for Physical Interaction Proceedings Article

In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2015.

Links | BibTeX | Tags: inverse dynamics, movement primitives

Model-Free Probabilistic Movement Primitives for Physical Interaction

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 Proceedings Article

In: ICRA 2015 Workshop on Tactile and force sensing for autonomous compliant intelligent robots, 2015.

Links | BibTeX | Tags: graphical models

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations

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

Rueckert, Elmar; Mindt, Max; Peters, Jan; Neumann, Gerhard

Robust Policy Updates for Stochastic Optimal Control Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014.

Links | BibTeX | Tags: policy search, Probabilistic Inference, SOC

Robust Policy Updates for Stochastic Optimal Control

2013

Rueckert, Elmar; d’Avella, Andrea

Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems Journal Article

In: Frontiers in Computational Neuroscience, vol. 7, no. 138, 2013.

Links | BibTeX | Tags: locomotion, movement primitives, muscle synergies

Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems

Rueckert, Elmar; Neumann, Gerhard; Toussaint, Marc; Maass, Wolfgang

Learned graphical models for probabilistic planning provide a new class of movement primitives Journal Article

In: Frontiers in Computational Neuroscience, vol. 6, no. 97, 2013.

Links | BibTeX | Tags: graphical models, movement primitives, Probabilistic Inference

 Learned graphical models for probabilistic planning provide a new class of movement primitives

Rueckert, Elmar; d’Avella, Andrea

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

In: 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

2012

Rueckert, Elmar; Neumann, Gerhard

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Journal Article

In: Artificial Life, vol. 19, no. 1, 2012.

Links | BibTeX | Tags: morphological compuation, Probabilistic Inference, SOC

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation

2011

Rueckert, Elmar; Neumann, Gerhard

A study of Morphological Computation by using Probabilistic Inference for Motor Planning Proceedings Article

In: Proceedings of the 2nd International Conference on Morphological Computation (ICMC), pp. 51–53, 2011.

Links | BibTeX | Tags: graphical models, morphological compuation, Probabilistic Inference, SOC

A study of Morphological Computation by using Probabilistic Inference for Motor Planning

2010

Rueckert, Elmar

Simultaneous localisation and mapping for mobile robots with recent sensor technologies Masters Thesis

Technical University Graz, 2010.

Links | BibTeX | Tags: Probabilistic Inference

Simultaneous localisation and mapping for mobile robots with recent sensor technologies

0000

Dave, Vedant; Lygerakis, Fotios; Rueckert, Elmar

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training Proceedings Forthcoming

Forthcoming, (Website: https://sites.google.com/view/mvitac/home).

Abstract | Links | BibTeX | Tags:

Compact List without Images

Journal Articles

Kunavar, Tjasa; Jamšek, Marko; Avila-Mireles, Edwin Johnatan; Rueckert, Elmar; Peternel, Luka; Babič., Jan

The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task Journal Article

In: Sensors (MDPI), vol. 24, no. 4, pp. 1–17, 2024.

Links | BibTeX

Nwankwo, Linus; Fritze, Clemens; Bartsch, Konrad; Rueckert, Elmar

ROMR: A ROS-based Open-source Mobile Robot Journal Article

In: HardwareX, vol. 15, pp. 1–29, 2023.

Abstract | Links | BibTeX

Herzog, Rebecca; Berger, Till M; Pauly, Martje Gesine; Xue, Honghu; Rueckert, Elmar; Munchau, Alexander; B"aumer, Tobias; Weissbach, Anne

Cerebellar transcranial current stimulation-an intraindividual comparison of different techniques Journal Article

In: Frontiers in Neuroscience, 2022.

Links | BibTeX

Rottmann, Nils; Studt, Nico; Ernst, Floris; Rueckert, Elmar

ROS-Mobile: An Android™ application for the Robot Operating System Journal Article

In: Arxiv, 2022.

Links | BibTeX

Xue, Honghu; Hein, Benedikt; Bakr, Mohamed; Schildbach, Georg; Abel, Bengt; Rueckert, Elmar

Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Journal Article

In: Applied Sciences (MDPI), Special Issue on Intelligent Robotics, 2022, (Supplement: https://cloud.cps.unileoben.ac.at/index.php/s/Sj68rQewnkf4ppZ).

Abstract | Links | BibTeX

Xue, Honghu; Herzog, Rebecca; Berger, Till M.; Bäumer, Tobias; Weissbach, Anne; Rueckert, Elmar

Using Probabilistic Movement Primitives in analyzing human motion differences under Transcranial Current Stimulation Journal Article

In: Frontiers in Robotics and AI , vol. 8, 2021, ISSN: 2296-9144.

Abstract | Links | BibTeX

Tanneberg, Daniel; Ploeger, Kai; Rueckert, Elmar; Peters, Jan

SKID RAW: Skill Discovery from Raw Trajectories Journal Article

In: IEEE Robotics and Automation Letters (RA-L), pp. 1–8, 2021, ISSN: 2377-3766, (© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.).

Links | BibTeX

Jamsek, Marko; Kunavar, Tjasa; Bobek, Urban; Rueckert, Elmar; Babic, Jan

Predictive exoskeleton control for arm-motion augmentation based on probabilistic movement primitives combined with a flow controller Journal Article

In: IEEE Robotics and Automation Letters (RA-L), pp. 1–8, 2021, ISSN: 2377-3766, (© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.).

Links | BibTeX

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

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

Links | BibTeX

Kyrarini, Maria; Lygerakis, Fotios; Rajavenkatanarayanan, Akilesh; Sevastopoulos, Christos; Nambiappan, Harish Ram; Chaitanya, Kodur Krishna; Babu, Ashwin Ramesh; Mathew, Joanne; Makedon, Fillia

A Survey of Robots in Healthcare Journal Article

In: Technologies, vol. 9, iss. 8, 2021.

Links | BibTeX

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

A novel Chlorophyll Fluorescence based approach for Mowing Area Classification Journal Article

In: IEEE Sensors Journal, 2020.

Links | BibTeX

Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan

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

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

Links | BibTeX

Cartoni, E.; Mannella, F.; Santucci, V. G.; Triesch, J.; Rueckert, E.; Baldassarre, G.

REAL-2019: Robot open-Ended Autonomous Learning competition Journal Article

In: Proceedings of Machine Learning Research, vol. 123, pp. 142-152, 2020, (NeurIPS 2019 Competition and Demonstration Track).

Links | BibTeX

Diakoloukas, Vassilios; Lygerakis, Fotios; Lagoudakis, Michail G; Kotti, Margarita

Variational Denoising Autoencoders and Least-Squares Policy Iteration for Statistical Dialogue Manager Journal Article

In: IEEE Signal Processing Letters , vol. 27, pp. 960-964, 2020.

Links | BibTeX

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Journal Article

In: Neural Networks – Elsevier, vol. 109, pp. 67-80, 2019, ISBN: 0893-6080, (Impact Factor of 7.197 (2017)).

Links | BibTeX

Sosic, Adrian; Zoubir, Abdelhak M.; Rueckert, Elmar; Peters, Jan; Koeppl, Heinz

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling Journal Article

In: Journal of Machine Learning Research (JMLR), vol. 19, no. 69, pp. 1-45, 2018.

Links | BibTeX

Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard

Probabilistic Movement Primitives under Unknown System Dynamics Journal Article

In: Advanced Robotics (ARJ), vol. 32, no. 6, pp. 297-310, 2018.

Links | BibTeX

Rueckert, Elmar; Camernik, Jernej; Peters, Jan; Babic, Jan

Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control Journal Article

In: Nature Publishing Group: Scientific Reports, vol. 6, no. 28455, 2016.

Links | BibTeX

Rueckert, Elmar; Kappel, David; Tanneberg, Daniel; Pecevski, Dejan; Peters, Jan

Recurrent Spiking Networks Solve Planning Tasks Journal Article

In: Nature Publishing Group: Scientific Reports, vol. 6, no. 21142, 2016.

Links | BibTeX

Rueckert, Elmar; d’Avella, Andrea

Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems Journal Article

In: Frontiers in Computational Neuroscience, vol. 7, no. 138, 2013.

Links | BibTeX

Rueckert, Elmar; Neumann, Gerhard; Toussaint, Marc; Maass, Wolfgang

Learned graphical models for probabilistic planning provide a new class of movement primitives Journal Article

In: Frontiers in Computational Neuroscience, vol. 6, no. 97, 2013.

Links | BibTeX

Rueckert, Elmar; Neumann, Gerhard

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Journal Article

In: Artificial Life, vol. 19, no. 1, 2012.

Links | BibTeX

Conferences

Lygerakis, Fotios; Dave, Vedant; Rueckert, Elmar

M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation Conference Forthcoming

arXiv:2401.17032 [cs.RO], Forthcoming.

Links | BibTeX

Lygerakis, Fotios; Dagioglou, Maria; Karkaletsis, Vangelis

Accelerating Human-Agent Collaborative Reinforcement Learning Conference

In Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA '21), Association for Computing Machinery, New York, NY, USA, 90–92, 2021.

Links | BibTeX

Banerjee, Debapriya; Lygerakis, Fotios; Makedon, Fillia

Sequential Late Fusion Technique for Multi-modal Sentiment Analysis Conference

In Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference (PETRA '21), Association for Computing Machinery, New York, NY, USA, 264–265. , 2021.

Links | BibTeX

Lygerakis, Fotios; Tsitos, Athanasios C; Dagioglou, Maria; Makedon, Fillia; Karkaletsis, Vangelis

Evaluation of 3D markerless pose estimation accuracy using openpose and depth information from a single RGB-D camera Conference

In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '20), Article 75, 1–6 Association for Computing Machinery, New York, NY, USA, 2020.

Links | BibTeX

Lygerakis, Fotios; Diakoloulas, Vassilios; Lagoudakis, Michail; Kotti, Margarita

Robust Belief State Space Representation for Statistical Dialogue Managers Using Deep Autoencoders Conference

2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019.

Links | BibTeX

Proceedings Articles

Dave*, Vedant; Lygerakis*, Fotios; Rueckert, Elmar

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training Proceedings Article

In: IEEE International Conference on Robotics and Automation (ICRA 2024)., 2024, (* equal contribution).

Links | BibTeX

Nwankwo, Linus; Rueckert, Elmar

The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language Proceedings Article

In: ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion)., 2024, (Published as late breaking results. Supplementary video: https://cloud.cps.unileoben.ac.at/index.php/s/fRE9XMosWDtJ339 ).

Links | BibTeX

Lygerakis, Fotios; Rueckert, Elmar

CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse Proceedings Article

In: Asian Conference of Artificial Intelligence Technology (ACAIT)., IEEE, 2023.

Links | BibTeX

Yadav, Harsh; Xue, Honghu; Rudall, Yan; Bakr, Mohamed; Hein, Benedikt; Rueckert, Elmar; Nguyen, Ngoc Thinh

Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot Proceedings Article

In: International Conference on System Theory, Control and Computing (ICSTCC), 2023, (October 11-13, 2023, Timisoara, Romania.).

Links | BibTeX

Nwankwo, Linus; Rueckert, Elmar

Understanding why SLAM algorithms fail in modern indoor environments Proceedings Article

In: International Conference on Robotics in Alpe-Adria-Danube Region (RAAD). , pp. 186 – 194, Cham: Springer Nature Switzerland., 2023.

Abstract | Links | BibTeX

Keshavarz, Sahar; Vita, Petr; Rueckert, Elmar; Ortner, Ronald; Thonhauser, Gerhard

A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction Proceedings Article

In: Society of Petroleum Engineers – SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023, Society of Petroleum Engineers., 2023, ISBN: 9781613999882.

Links | BibTeX

Xue, Honghu; Song, Rui; Petzold, Julian; Hein, Benedikt; Hamann, Heiko; Rueckert, Elmar

End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments Proceedings Article

In: International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX

Dave, Vedant; Rueckert, Elmar

Predicting full-arm grasping motions from anticipated tactile responses Proceedings Article

In: International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX

Leonel, Rozo*; Vedant, Dave*

Orientation Probabilistic Movement Primitives on Riemannian Manifolds Proceedings Article

In: Conference on Robot Learning (CoRL), pp. 11, 2022, (* equal contribution).

Abstract | Links | BibTeX

Denz, R.; Demirci, R.; Cansev, E.; Bliek, A.; Beckerle, P.; Rueckert, E.; Rottmann, N.

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning Proceedings Article

In: International Conference on Advanced Robotics , pp. 7, 2021.

Links | BibTeX

Rottmann, N.; Denz, R.; Bruder, R.; Rueckert, E.

Probabilistic Approach for Complete Coverage Path Planning with low-cost Systems Proceedings Article

In: European Conference on Mobile Robots (ECMR 2021), 2021.

Links | BibTeX

Akbulut, M Tuluhan; Oztop, Erhan; Seker, M Yunus; Xue, Honghu; Tekden, Ahmet E; Ugur, Emre

ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing Proceedings Article

In: 2020.

Abstract | Links | BibTeX

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors Proceedings Article

In: IEEE SENSORS , pp. 1–4, 2020.

Links | BibTeX

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

Learning Hierarchical Acquisition Functions for Bayesian Optimization Proceedings Article

In: 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 Proceedings Article

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

Links | BibTeX

Tolga-Can Çallar, Elmar Rueckert; Böttger, Sven

Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates Proceedings Article

In: 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), 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 Proceedings Article

In: 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 Proceedings Article

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

Links | BibTeX

Boettger, S.; Callar, T. C.; Schweikard, A.; Rueckert, E.

Medical robotics simulation framework for application-specific optimal kinematics Proceedings Article

In: Current Directions in Biomedical Engineering 2019, pp. 1–5, 2019.

Links | BibTeX

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

Loop Closure Detection in Closed Environments Proceedings Article

In: European Conference on Mobile Robots (ECMR 2019), 2019, ISBN: 978-1-7281-3605-9.

Links | BibTeX

Rottmann, N.; Bruder, R.; Schweikard, A.; Rueckert, E.

Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors Proceedings Article

In: Proceedings of International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), Prague, Czech Republic , 2019, ( February 22-24, 2019).

Links | BibTeX

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

Dynamic Control Strategies for Cable-Driven Master Slave Robots Proceedings Article

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

Links | BibTeX

Gondaliya, Kaushikkumar D.; Peters, Jan; Rueckert, Elmar

Learning to Categorize Bug Reports with LSTM Networks Proceedings Article

In: Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID)., pp. 6, XPS (Xpert Publishing Services), Nice, France, 2018, ISBN: 978-1-61208-671-2, ( October 14-18, 2018).

Links | BibTeX

Rueckert, Elmar; Nakatenus, Moritz; Tosatto, Samuele; Peters, Jan

Learning Inverse Dynamics Models in O(n) time with LSTM networks Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Efficient Online Adaptation with Stochastic Recurrent Neural Networks Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX

Stark, Svenja; Peters, Jan; Rueckert, Elmar

A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX

Thiem, Simon; Stark, Svenja; Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Simulation of the underactuated Sake Robotics Gripper in V-REP Proceedings Article

In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Proceedings Article

In: Proceedings of the Conference on Robot Learning (CoRL), 2017.

Links | BibTeX

Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar

Deep Spiking Networks for Model-based Planning in Humanoids Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

Links | BibTeX

Azad, Morteza; Ortenzi, Valerio; Lin, Hsiu-Chin; Rueckert, Elmar; Mistry, Michael

Model Estimation and Control of Complaint Contact Normal Force Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

Links | BibTeX

Kohlschuetter, Jan; Peters, Jan; Rueckert, Elmar

Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities Proceedings Article

In: Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), 2016.

Links | BibTeX

Modugno, Valerio; Neumann, Gerhard; Rueckert, Elmar; Oriolo, Giuseppe; Peters, Jan; Ivaldi, Serena

Learning soft task priorities for control of redundant robots Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2016.

Links | BibTeX

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

Adaptive Training Strategies for BCIs Proceedings Article

In: Cybathlon Symposium, 2016.

Links | BibTeX

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 Proceedings Article

In: Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016.

Links | BibTeX

Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan

Learning Inverse Dynamics Models with Contacts Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.

Links | BibTeX

Rueckert, Elmar; Mundo, Jan; Paraschos, Alexandros; Peters, Jan; Neumann, Gerhard

Extracting Low-Dimensional Control Variables for Movement Primitives Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.

Links | BibTeX

Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard

Model-Free Probabilistic Movement Primitives for Physical Interaction Proceedings Article

In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2015.

Links | BibTeX

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 Proceedings Article

In: ICRA 2015 Workshop on Tactile and force sensing for autonomous compliant intelligent robots, 2015.

Links | BibTeX

Rueckert, Elmar; Mindt, Max; Peters, Jan; Neumann, Gerhard

Robust Policy Updates for Stochastic Optimal Control Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014.

Links | BibTeX

Rueckert, Elmar; d’Avella, Andrea

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

In: Abstracts of Neural Control of Movement Conference (NCM), Conference Talk, pp. 27–28, 2013.

Links | BibTeX

Rueckert, Elmar; Neumann, Gerhard

A study of Morphological Computation by using Probabilistic Inference for Motor Planning Proceedings Article

In: Proceedings of the 2nd International Conference on Morphological Computation (ICMC), pp. 51–53, 2011.

Links | BibTeX

Masters Theses

Rueckert, Elmar

Simultaneous localisation and mapping for mobile robots with recent sensor technologies Masters Thesis

Technical University Graz, 2010.

Links | BibTeX

PhD Theses

Rueckert, Elmar

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

Technical University Graz, 2014.

Links | BibTeX

Proceedings

Dave, Vedant; Lygerakis, Fotios; Rueckert, Elmar

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training Proceedings Forthcoming

Forthcoming, (Website: https://sites.google.com/view/mvitac/home).

Abstract | Links | BibTeX

Workshops

Yadav, Harsh; Xue, Honghu; Rudall, Yan; Bakr, Mohamed; Hein, Benedikt; Rueckert, Elmar; Nguyen, Thinh

Deep Reinforcement Learning for Autonomous Navigation in Intralogistics Workshop

2023, (European Control Conference (ECC) Workshop, Extended Abstract.).

Abstract | Links | BibTeX

Dave, Vedant; Rueckert, Elmar

Can we infer the full-arm manipulation skills from tactile targets? Workshop

International Conference on Humanoid Robots (Humanoids 2022), 2022.

Abstract | Links | BibTeX