Roberto Calandra

Robotics Auton. Syst., 2023

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

Nathan O. Lambert

CoRR, 2023

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Co-imagination of Behaviour and Morphology of Agents.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice.

[BibT_eX]

[DOI]

Johannes V. S. Busch

Robert Voelckner

Peter Sossalla

Christian L. Vielhaus

Frank H. P. Fitzek

Proceedings of the International Conference on Machine Learning and Applications, 2023

General In-hand Object Rotation with Vision and Touch.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Learning to Play Table Tennis From Scratch Using Muscular Robots.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces.

[BibT_eX]

[DOI]

CoRR, 2022

Investigating Compounding Prediction Errors in Learned Dynamics Models.

[BibT_eX]

[DOI]

Nathan O. Lambert

CoRR, 2022

Towards Learning to Play Piano with Dexterous Hands and Touch.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

In-Hand Object Rotation via Rapid Motor Adaptation.

[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

Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks.

[BibT_eX]

[DOI]

Kevin Sebastian Luck

Michael N. Mistry

CoRR, 2021

Active 3D Shape Reconstruction from Vision and Touch.

[BibT_eX]

[DOI]

CoRR, 2021

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Model-Invariant State Abstractions for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Active 3D Shape Reconstruction from Vision and Touch.

[BibT_eX]

[DOI]

Adriana Romero-Soriano

Michal Drozdzal

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

PyTouch: A Machine Learning Library for Touch Processing.

[BibT_eX]

[DOI]

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

Learning Invariant Representations for Reinforcement Learning without Reconstruction.

[BibT_eX]

[DOI]

Amy Zhang

Rowan Thomas McAllister

Yarin Gal

Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

Nathan O. Lambert

Albert Wilcox

Howard Zhang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

3D Shape Reconstruction from Vision and Touch.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Active MR k-space Sampling with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Plan2Vec: Unsupervised Representation Learning by Latent Plans.

[BibT_eX]

[DOI]

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

Objective Mismatch in Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

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

OmniTact: A Multi-Directional High-Resolution Touch Sensor.

[BibT_eX]

[DOI]

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

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

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

Adversarial Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering.

[BibT_eX]

[DOI]

Ruth Misener

IEEE Trans. Biomed. Eng., 2019

Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Fast Neural Network Verification via Shadow Prices.

[BibT_eX]

[DOI]

CoRR, 2019

Manipulation by Feel: Touch-Based Control with Deep Predictive Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching.

[BibT_eX]

[DOI]

Justin Lin

Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

Data-efficient Learning of Morphology and Controller for a Microrobot.

[BibT_eX]

[DOI]

Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Kevin Sebastian Luck

Heni Ben Amor

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

2018

Learning Flexible and Reusable Locomotion Primitives for a Microrobot.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Control of Musculoskeletal Systems Using Learned Dynamics Models.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Bayesian Modeling for Optimization and Control in Robotics.

[BibT_eX]

[DOI]

PhD thesis, 2017

MBMF: Model-Based Priors for Model-Free Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

[BibT_eX]

[DOI]

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

Goal-driven dynamics learning via Bayesian optimization.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker.

[BibT_eX]

[DOI]

André Seyfarth

Ann. Math. Artif. Intell., 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

Active tactile object exploration with Gaussian processes.

[BibT_eX]

[DOI]

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

Manifold Gaussian Processes for regression.

[BibT_eX]

[DOI]

Carl Edward Rasmussen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Learning inverse dynamics models with contacts.

[BibT_eX]

[DOI]

Serena Ivaldi

Elmar Rueckert

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

First-person tele-operation of a humanoid robot.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Learning torque control in presence of contacts using tactile sensing from robot skin.

[BibT_eX]

[DOI]

Serena Ivaldi

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Bayesian Gait Optimization for Bipedal Locomotion.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization, 2014

An experimental comparison of Bayesian optimization for bipedal locomotion.

[BibT_eX]

[DOI]

André Seyfarth

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2012

Toward fast policy search for learning legged locomotion.

[BibT_eX]

[DOI]

André Seyfarth

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning Deep Belief Networks from Non-stationary Streams.

[BibT_eX]

[DOI]

Tapani Raiko