Franziska Meier

Neha Das

IEEE Trans. Robotics, April, 2023

What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?

[BibT_eX]

[DOI]

Vincent-Pierre Berges

CoRR, 2023

EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video.

[BibT_eX]

[DOI]

CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

[BibT_eX]

[DOI]

Vincent-Pierre Berges

CoRR, 2023

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement.

[BibT_eX]

[DOI]

CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

[BibT_eX]

[DOI]

Vincent-Pierre Berges

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Grasp Distance Fields for Robot Manipulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BC-IRL: Learning Generalizable Reward Functions from Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation.

[BibT_eX]

[DOI]

Subramanian Ramamoorthy

IEEE Robotics Autom. Lett., 2022

Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2022

Model Based Meta Learning of Critics for Policy Gradients.

[BibT_eX]

[DOI]

Ludovic Righetti

CoRR, 2022

Differentiable and Learnable Robot Models.

[BibT_eX]

[DOI]

CoRR, 2022

Block Contextual MDPs for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Cross-Domain Transfer via Semantic Skill Imitation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Todor Davchev

Subramanian Ramamoorthy

CoRR, 2021

Habitat 2.0: Training Home Assistants to Rearrange their Habitat.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Navigation Skills for Legged Robots with Learned Robot Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Leveraging Forward Model Prediction Error for Learning Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning Extended Body Schemas from Visual Keypoints for Object Manipulation.

[BibT_eX]

[DOI]

Neha Das

CoRR, 2020

Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations.

[BibT_eX]

[DOI]

CoRR, 2020

Residual Learning from Demonstration.

[BibT_eX]

[DOI]

Subramanian Ramamoorthy

CoRR, 2020

Encoding Physical Constraints in Differentiable Newton-Euler Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Framework for Online Updates to Safe Sets for Uncertain Dynamics.

[BibT_eX]

[DOI]

Jennifer C. Shih

Akshara Rai

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

Learning State-Dependent Losses for Inverse Dynamics Learning.

[BibT_eX]

[DOI]

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

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Meta Learning via Learned Loss.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adversarial Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Model-Based Inverse Reinforcement Learning from Visual Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots.

[BibT_eX]

[DOI]

Akshara Rai

Rika Antonova

Cristina Garcia Cifuentes

Christopher G. Atkeson

J. Mach. Learn. Res., 2019

Generalized Inner Loop Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Meta-Learning via Learned Loss.

[BibT_eX]

[DOI]

CoRR, 2019

Learning and Adaptation of Inverse Dynamics Models: A Comparison.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Curious iLQR: Resolving Uncertainty in Model-based RL.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Real-Time Perception Meets Reactive Motion Generation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Online Learning of a Memory for Learning Rates.

[BibT_eX]

[DOI]

Daniel Kappler

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Locally Weighted Regression for Control.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control.

[BibT_eX]

[DOI]

CoRR, 2017

A new data source for inverse dynamics learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning feedback terms for reactive planning and control.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

A Probabilistic Representation for Dynamic Movement Primitives.

[BibT_eX]

[DOI]

CoRR, 2016

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics.

[BibT_eX]

[DOI]

Big Data, 2016

Towards robust online inverse dynamics learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Drifting Gaussian processes with varying neighborhood sizes for online model learning.

[BibT_eX]

[DOI]

Cristina Garcia Cifuentes

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

Robust Gaussian filtering using a pseudo measurement.

[BibT_eX]

[DOI]

Manuel Wuthrich

Proceedings of the 2016 American Control Conference, 2016

2014

Local Gaussian Regression.

[BibT_eX]

[DOI]

Philipp Hennig

CoRR, 2014

Incremental Local Gaussian Regression.

[BibT_eX]

[DOI]

Philipp Hennig

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Efficient Bayesian local model learning for control.

[BibT_eX]

[DOI]

Philipp Hennig

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Learning coupling terms for obstacle avoidance.

[BibT_eX]

[DOI]

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

2013

From dynamic movement primitives to associative skill memories.

[BibT_eX]

[DOI]

Evangelos A. Theodorou

Robotics Auton. Syst., 2013

2012

Movement Segmentation and Recognition for Imitation Learning.

[BibT_eX]

[DOI]

Evangelos A. Theodorou

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Movement segmentation using a primitive library.

[BibT_eX]

[DOI]

Evangelos A. Theodorou

Freek Stulp

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2009

Human Action Recognition Using Global Point Feature Histograms and Action Shapes.

[BibT_eX]

[DOI]

Adv. Robotics, 2009

2008

ProSAS: a database for analyzing alternative splicing in the context of protein structures.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2008

3D Shape Context and Distance Transform for action recognition.

[BibT_eX]

[DOI]

Matthias Grundmann