Lerrel Pinto

CoRR, 2024

Neural Circuit Architectural Priors for Quadruped Locomotion.

[BibT_eX]

[DOI]

Nikhil X. Bhattasali

Grace W. Lindsay

CoRR, 2024

Training Language Models on Synthetic Edit Sequences Improves Code Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control.

[BibT_eX]

[DOI]

CoRR, 2024

AnySkin: Plug-and-play Skin Sensing for Robotic Touch.

[BibT_eX]

[DOI]

Raunaq M. Bhirangi

Enes Erciyes

Yifeng Cao

Tess Lee Hellebrekers

CoRR, 2024

Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.

[BibT_eX]

[DOI]

CoRR, 2024

BAKU: An Efficient Transformer for Multi-Task Policy Learning.

[BibT_eX]

[DOI]

Siddhant Haldar

Zhuoran Peng

CoRR, 2024

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.

[BibT_eX]

[DOI]

Peiqi Liu

Yaswanth Orru

Chris Paxton

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

[BibT_eX]

[DOI]

Henrik I. Christensen

Keerthana Gopalakrishnan

Lawrence Yunliang Chen

Roberto Martín-Martín

Subramanian Ramamoorthy

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

See to Touch: Learning Tactile Dexterity through Visual Incentives.

[BibT_eX]

[DOI]

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

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

diff History for Neural Language Agents.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling.

[BibT_eX]

[DOI]

Raunaq M. Bhirangi

Chenyu Wang

Carmel Majidi

Tess Lee Hellebrekers

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Behavior Generation with Latent Actions.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

diff History for Long-Context Language Agents.

[BibT_eX]

[DOI]

CoRR, 2023

On Bringing Robots Home.

[BibT_eX]

[DOI]

CoRR, 2023

PolyTask: Learning Unified Policies through Behavior Distillation.

[BibT_eX]

[DOI]

Siddhant Haldar

CoRR, 2023

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.

[BibT_eX]

[DOI]

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

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations.

[BibT_eX]

[DOI]

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

NetHack is Hard to Hack.

[BibT_eX]

[DOI]

Sridhar Pandian Arunachalam

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

Train Offline, Test Online: A Real Robot Learning Benchmark.

[BibT_eX]

[DOI]

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

Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation.

[BibT_eX]

[DOI]

Sneha Silwal

Ben Evans

Sridhar Pandian Arunachalam

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

Holo-Dex: Teaching Dexterity with Immersive Mixed Reality.

[BibT_eX]

[DOI]

Irmak Güzey

Soumith Chintala

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

Learning Simultaneous Navigation and Construction in Grid Worlds.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data.

[BibT_eX]

[DOI]

Zichen Jeff Cui

Yibin Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation.

[BibT_eX]

[DOI]

Abitha Thankaraj

Proceedings of the Conference on Robot Learning, 2023

Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Improving Long-Horizon Imitation through Instruction Prediction.

[BibT_eX]

[DOI]

Joey Hejna

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment.

[BibT_eX]

[DOI]

CoRR, 2022

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

The Surprising Effectiveness of Representation Learning for Visual Imitation.

[BibT_eX]

[DOI]

Jyothish Pari

Sridhar Pandian Arunachalam

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Behavior Transformers: Cloning $k$ modes with one stone.

[BibT_eX]

[DOI]

Nur Muhammad Shafiullah

Zichen Jeff Cui

Ariuntuya Altanzaya

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation.

[BibT_eX]

[DOI]

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

Playful Interactions for Representation Learning.

[BibT_eX]

[DOI]

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

Context is Everything: Implicit Identification for Dynamics Adaptation.

[BibT_eX]

[DOI]

Ben Evans

Abitha Thankaraj

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

One After Another: Learning Incremental Skills for a Changing World.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Watch and Match: Supercharging Imitation with Regularized Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

GEM: Group Enhanced Model for Learning Dynamical Control Systems.

[BibT_eX]

[DOI]

Philippe Hansen-Estruch

CoRR, 2021

Simultaneous Navigation and Construction Benchmarking Environments.

[BibT_eX]

[DOI]

CoRR, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

RB2: Robotic Manipulation Benchmarking with a Twist.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

State-Only Imitation Learning for Dexterous Manipulation.

[BibT_eX]

[DOI]

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

Reinforcement Learning with Prototypical Representations.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency.

[BibT_eX]

[DOI]

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

Task-Agnostic Morphology Evolution.

[BibT_eX]

[DOI]

Donald Joseph Hejna III

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

Self-Supervised Policy Adaptation during Deployment.

[BibT_eX]

[DOI]

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

2020

A Framework for Efficient Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation.

[BibT_eX]

[DOI]

CoRR, 2020

Self-Supervised Policy Adaptation during Deployment.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Manipulate Deformable Objects without Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Swoosh! Rattle! Thump! - Actions that Sound.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Automatic Curriculum Learning through Value Disagreement.

[BibT_eX]

[DOI]

Yunzhi Zhang

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

Generalized Hindsight for Reinforcement Learning.

[BibT_eX]

[DOI]

Alexander C. Li

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

Reinforcement Learning with Augmented Data.

[BibT_eX]

[DOI]

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

Hierarchically Decoupled Imitation For Morphological Transfer.

[BibT_eX]

[DOI]

Donald J. Hejna III

Proceedings of the 37th International Conference on Machine Learning, 2020

Discovering Motor Programs by Recomposing Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Visual Imitation Made Easy.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Data Centric Robot Learning.

[BibT_eX]

[DOI]

PhD thesis, 2019

PyRobot: An Open-source Robotics Framework for Research and Benchmarking.

[BibT_eX]

[DOI]

Adithyavairavan Murali

Tao Chen

Kalyan Vasudev Alwala

CoRR, 2019

Robot Learning via Human Adversarial Games.

[BibT_eX]

[DOI]

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

Environment Probing Interaction Policies.

[BibT_eX]

[DOI]

Wenxuan Zhou

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions.

[BibT_eX]

[DOI]

Aditya Mandalika

Brian Hou

Siddhartha S. Srinivasa

CoRR, 2018

Asymmetric Actor Critic for Image-Based Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias.

[BibT_eX]

[DOI]

Adithyavairavan Murali

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

CASSL: Curriculum Accelerated Self-Supervised Learning.

[BibT_eX]

[DOI]

Adithyavairavan Murali

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

Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Predictive-State Decoders: Encoding the Future into Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to fly by crashing.

[BibT_eX]

[DOI]

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

Learning to push by grasping: Using multiple tasks for effective learning.

[BibT_eX]

[DOI]

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

Supervision via competition: Robot adversaries for learning tasks.

[BibT_eX]

[DOI]

James Davidson

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

Robust Adversarial Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Improved Learning of Dynamics Models for Control.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Experimental Robotics, 2016

Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours.

[BibT_eX]

[DOI]