Karol Hausman

Orcid: 0000-0002-1504-6197

According to our database¹, Karol Hausman authored at least 78 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.

[BibT_eX]

[DOI]

CoRR, 2024

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.

[BibT_eX]

[DOI]

CoRR, 2024

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents.

[BibT_eX]

[DOI]

CoRR, 2024

2023

What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?

[BibT_eX]

[DOI]

CoRR, 2023

Foundation Models in Robotics: Applications, Challenges, and the Future.

[BibT_eX]

[DOI]

CoRR, 2023

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator.

[BibT_eX]

[DOI]

CoRR, 2023

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.

[BibT_eX]

[DOI]

Isabel Leal

Krzysztof Choromanski

CoRR, 2023

Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities.

[BibT_eX]

[DOI]

CoRR, 2023

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

[BibT_eX]

[DOI]

Montserrat Gonzalez Arenas

Kanishka Rao

Wenhao Yu

Chuyuan Fu

Keerthana Gopalakrishnan

CoRR, 2023

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.

[BibT_eX]

[DOI]

CoRR, 2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.

[BibT_eX]

[DOI]

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

[BibT_eX]

[DOI]

CoRR, 2023

Open-World Object Manipulation using Pre-trained Vision-Language Models.

[BibT_eX]

[DOI]

Austin Stone

Ted Xiao

Yao Lu

Keerthana Gopalakrishnan

CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Robot Learning with Semantically Imagined Experience.

[BibT_eX]

[DOI]

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

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models.

[BibT_eX]

[DOI]

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

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

[BibT_eX]

[DOI]

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

RT-1: Robotics Transformer for Real-World Control at Scale.

[BibT_eX]

[DOI]

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

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents.

[BibT_eX]

[DOI]

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

Code as Policies: Language Model Programs for Embodied Control.

[BibT_eX]

[DOI]

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

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning.

[BibT_eX]

[DOI]

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

Jump-Start Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

PaLM-E: An Embodied Multimodal Language Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Open-World Object Manipulation using Pre-Trained Vision-Language Models.

[BibT_eX]

[DOI]

Austin Stone

Ted Xiao

Yao Lu

Keerthana Gopalakrishnan

Proceedings of the Conference on Robot Learning, 2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

[BibT_eX]

[DOI]

CoRR, 2022

How to Leverage Unlabeled Data in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Autonomous Reinforcement Learning: Formalism and Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Inner Monologue: Embodied Reasoning through Planning with Language Models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Offline Reinforcement Learning at Multiple Frequencies.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

A Metric Space Perspective on Self-Supervised Policy Adaptation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.

[BibT_eX]

[DOI]

CoRR, 2021

Persistent Reinforcement Learning via Subgoal Curricula.

[BibT_eX]

[DOI]

CoRR, 2021

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale.

[BibT_eX]

[DOI]

CoRR, 2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.

[BibT_eX]

[DOI]

CoRR, 2021

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning.

[BibT_eX]

[DOI]

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

Autonomous Reinforcement Learning via Subgoal Curricula.

[BibT_eX]

[DOI]

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

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.

[BibT_eX]

[DOI]

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

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Scaling Up Multi-Task Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Scaling simulation-to-real transfer by learning a latent space of robot skills.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

A Geometric Perspective on Self-Supervised Policy Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2020

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Gradient Surgery for Multi-Task Learning.

[BibT_eX]

[DOI]

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

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.

[BibT_eX]

[DOI]

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

Dynamics-Aware Unsupervised Discovery of Skills.

[BibT_eX]

[DOI]

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

Modeling Long-horizon Tasks as Sequential Interaction Landscapes.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Learning to Interactively Learn and Assist.

[BibT_eX]

[DOI]

Mark Woodward

Chelsea Finn

Karol Hausman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Confidence-rich grid mapping.

[BibT_eX]

[DOI]

Ali-akbar Agha-mohammadi

Eric Heiden

Karol Hausman

Gaurav S. Sukhatme

Int. J. Robotics Res., 2019

Training an Interactive Helper.

[BibT_eX]

[DOI]

Mark Woodward

Chelsea Finn

Karol Hausman

CoRR, 2019

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.

[BibT_eX]

[DOI]

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

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

[BibT_eX]

[DOI]

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

2018

Simultaneous self-calibration and navigation using trajectory optimization.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations.

[BibT_eX]

[DOI]

CoRR, 2018

Region Growing Curriculum Generation for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Learning an Embedding Space for Transferable Robot Skills.

[BibT_eX]

[DOI]

Karol Hausman

Jost Tobias Springenberg

Ziyu Wang

Nicolas Heess

Martin A. Riedmiller

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Interactive Perception: Leveraging Action in Perception and Perception in Action.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2017

Observability-Aware Trajectory Optimization for Self-Calibration With Application to UAVs.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2017

Trajectory Optimization for Self-Calibration and Navigation.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIII, 2017

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.

[BibT_eX]

[DOI]

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

Planning high-speed safe trajectories in confidence-rich maps.

[BibT_eX]

[DOI]

Eric Heiden

Karol Hausman

Gaurav S. Sukhatme

Ali-akbar Agha-mohammadi

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

Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning.

[BibT_eX]

[DOI]

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

Regrasping Using Tactile Perception and Supervised Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Generalizing Regrasping with Supervised Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Experimental Robotics, 2016

Occlusion-aware multi-robot 3D tracking.

[BibT_eX]

[DOI]

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

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning.

[BibT_eX]

[DOI]

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

Self-calibrating multi-sensor fusion with probabilistic measurement validation for seamless sensor switching on a UAV.

[BibT_eX]

[DOI]

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

2015

Cooperative multi-robot control for target tracking with onboard sensing.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2015

Active articulation model estimation through interactive perception.

[BibT_eX]

[DOI]

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

Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor.

[BibT_eX]

[DOI]

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

2014

Cooperative Control for Target Tracking with Onboard Sensing.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2014

2013

Tracking-based interactive segmentation of textureless objects.

[BibT_eX]

[DOI]

Karol Hausman

Ferenc Balint-Benczedi

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Karol Hausman

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...