Elmar Rueckert

Luka Peternel

Jan Babic

Sensors, February, 2024

EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial Awareness and Semantic Reasoning in Heterogeneous Environments.

[BibT_eX]

[DOI]

CoRR, 2024

ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal Human-Autonomous Agents Interaction Using Pre-Trained Language and Visual Foundation Models.

[BibT_eX]

[DOI]

Linus Nwankwo

CoRR, 2024

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

[BibT_eX]

[DOI]

Linus Nwankwo

CoRR, 2024

Semi-Autonomous Fast Object Segmentation and Tracking Tool for Industrial Applications.

[BibT_eX]

[DOI]

Melanie Neubauer

Elmar A. Rückert

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

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

[BibT_eX]

[DOI]

Vedant Dave

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement.

[BibT_eX]

[DOI]

Nikolaus Feith

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions.

[BibT_eX]

[DOI]

Nikolaus Feith

Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

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

[BibT_eX]

[DOI]

Vedant Dave

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

[BibT_eX]

[DOI]

Linus Nwankwo

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Understanding why SLAM algorithms fail in modern indoor environments.

[BibT_eX]

[DOI]

Nwankwo Linus

CoRR, 2023

Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on System Theory, Control and Computing, 2023

2022

O2S: Open-source open shuttle.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Predicting full-arm grasping motions from anticipated tactile responses.

[BibT_eX]

[DOI]

Vedant Dave

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

SKID RAW: Skill Discovery From Raw Trajectories.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Predictive Exoskeleton Control for Arm-Motion Augmentation Based on Probabilistic Movement Primitives Combined With a Flow Controller.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2021

Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2021

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

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Advanced Robotics, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 10th European Conference on Mobile Robots, 2021

2020

Evolutionary training and abstraction yields algorithmic generalization of neural computers.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Parameter Optimization for Loop Closure Detection in Closed Environments.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Learning Hierarchical Acquisition Functions for Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

2019

Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks.

[BibT_eX]

[DOI]

Neural Networks, 2019

Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer.

[BibT_eX]

[DOI]

CoRR, 2019

Learning walk and trot from the same objective using different types of exploration.

[BibT_eX]

[DOI]

CoRR, 2019

REAL-2019: Robot open-Ended Autonomous Learning competition.

[BibT_eX]

[DOI]

Emilio Cartoni

Francesco Mannella

Vieri Giuliano Santucci

Jochen Triesch

Gianluca Baldassarre

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Experience Reuse with Probabilistic Movement Primitives.

[BibT_eX]

[DOI]

Svenja Stark

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Loop Closure Detection in Closed Environments.

[BibT_eX]

[DOI]

Proceedings of the 2019 European Conference on Mobile Robots, 2019

Cataglyphis Ant Navigation Strategies Solve the Global Localization Problem in Robots with Binary Sensors.

[BibT_eX]

[DOI]

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2018

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Probabilistic movement primitives under unknown system dynamics.

[BibT_eX]

[DOI]

Adv. Robotics, 2018

2017

Efficient online adaptation with stochastic recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

A comparison of distance measures for learning nonparametric motor skill libraries.

[BibT_eX]

[DOI]

Svenja Stark

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Learning inverse dynamics models in O(n) time with LSTM networks.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Learning soft task priorities for control of redundant robots.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Deep spiking networks for model-based planning in humanoids.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Model estimation and control of compliant contact normal force.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Model-free Probabilistic Movement Primitives for physical interaction.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Extracting low-dimensional control variables for movement primitives.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning inverse dynamics models with contacts.

[BibT_eX]

[DOI]

Roberto Calandra

Serena Ivaldi

Marc Peter Deisenroth

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Robust policy updates for stochastic optimal control.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

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

[BibT_eX]

[DOI]