Karol Hausman

发表

Dynamics-Aware Unsupervised Discovery of Skills pdf

Sergey Levine, Karol Hausman, Vikash Kumar, 2019, ICLR.

Learning an Embedding Space for Transferable Robot Skills

Karol Hausman, Martin A. Riedmiller, Jost Tobias Springenberg, 2018, ICLR.

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

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Interactive Perception: Leveraging Action in Perception and Perception in Action

Oliver Brock, Gaurav S. Sukhatme, Danica Kragic, 2016, IEEE Transactions on Robotics.

Generalizing Regrasping with Supervised Policy Learning

Gaurav S. Sukhatme, Oliver Kroemer, Stefan Schaal, 2016, ISER.

Gradient Surgery for Multi-Task Learning pdf

Karol Hausman, Abhishek Gupta, Chelsea Finn, 2020, NeurIPS.

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

Sergey Levine, Karol Hausman, Corey Lynch, 2019, CoRL.

Scaling simulation-to-real transfer by learning composable robot skills

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018, ISER.

Cooperative Control for Target Tracking with Onboard Sensing

Gaurav S. Sukhatme, Karol Hausman, Nora Ayanian, 2014, ISER.

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

Gaurav S. Sukhatme, Karol Hausman, Stephan Weiss, 2016, IEEE Robotics and Automation Letters.

Multi-Task Offline Reinforcement Learning with Conservative Data Sharing

S. Levine, Karol Hausman, Chelsea Finn, 2021 .

Gradient Surgery for Multi-Task Learning

S. Levine, Saurabh Kumar, Abhishek Gupta, 2020, NeurIPS.

CEM Replay Buffer Simulation Buffer Train Buffer Log Replay Offline Episodes Parameter Server TPU Trainer Model Parameters

Cristian Bodnar, P. Pastor, Karol Hausman, 2019 .

Ascending Stairway Modeling Live Demo : Toward Autonomous Multi-Floor Exploration

Karol Hausman, Tomas Lozano-Perez, Sarah Osentoski, 2012 .

Segmentation of Cluttered Scenes through Interactive Perception

Karol Hausman, Sarah Osentoski, M. Beetz, 2012 .

Cooperative Occlusion-Aware Multi-Robot Target Tracking using Optimization

P. Abbeel, Ken Goldberg, Karol Hausman, 2015 .

Persistent Reinforcement Learning via Subgoal Curricula pdf

Sergey Levine, Karol Hausman, Chelsea Finn, 2021, ArXiv.

Supervised Policy Fusion with Application to Regrasping

S. Schaal, Karol Hausman, Yevgen Chebotar, 2016 .

Segmentation of Textured and Textureless Objects through Interactive Perception

Kei Okada, Zoltan-Csaba Marton, Dejan Pangercic, 2012 .

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

S. Levine, Deirdre Quillen, Karol Hausman, 2019, CoRL.

A UTONOMOUS R EINFORCEMENT L EARNING : F ORMALISM AND B ENCHMARKING

S. Levine, Archit Sharma, Karol Hausman, 2022 .

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

Karol Hausman, Mrinal Kalakrishnan, Adrian Li, 2019, Robotics: Science and Systems.

IntentionGAN: MultiModal Imitation Learningfrom Unstructured Demonstrations

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2017 .

Confidence-Rich Grid Mapping

Gaurav S. Sukhatme, Karol Hausman, Ali-akbar Agha-mohammadi, 2017, ISRR.

Learning a System-ID Embedding Space for Domain Specialization with Deep Reinforcement Learning

Gaurav S. Sukhatme, Karol Hausman, James A. Preiss, 2018 .

Confidence-aware Occupancy Grids

Gaurav S. Sukhatme, Karol Hausman, Ali-akbar Agha-mohammadi, 2017, IROS 2017.

Mint: Matrix-Interleaving for Multi-Task Learning

Sergey Levine, Karol Hausman, Abhishek Gupta, 2019 .

Offline Reinforcement Learning at Multiple Frequencies

Karol Hausman, Chelsea Finn, Tianhe Yu, 2022, CoRL.

Inner Monologue: Embodied Reasoning through Planning with Language Models

Peter R. Florence, S. Levine, Pierre Sermanet, 2022, CoRL.

Autonomous Reinforcement Learning: Formalism and Benchmarking

S. Levine, Archit Sharma, Karol Hausman, 2021, ICLR.

Slip Detection and Classification for Grip Control using Multiple Sensory Modalities on a Biomimetic Tactile Sensor

Yevgen Chebotar, Artem Molchanov, Karol Hausman, 2015 .

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

S. Levine, Pierre Sermanet, Vincent Vanhoucke, 2022, CoRL.

Code as Policies: Language Model Programs for Embodied Control

Peter R. Florence, Karol Hausman, Andy Zeng, 2022, 2209.07753.

IntentionGAN: MultiTask Imitation Learningfrom Unstructured Demonstrations

Yevgen Chebotar, Karol Hausman, Joseph J. Lim, 2017 .

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

S. Levine, Vincent Vanhoucke, M. Ryoo, 2022, Robotics: Science and Systems.

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

S. Levine, Karol Hausman, Ted Xiao, 2022, 2211.11736.

Learning to Interactively Learn and Assist pdf

Karol Hausman, Chelsea Finn, Mark Woodward, 2019, AAAI.

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

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2017, NIPS.

IntentionGAN : Multi-Modal Imitation Learning from Unstructured Demonstrations

S. Schaal, Karol Hausman, Yevgen Chebotar, 2017 .

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, ICML.

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

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, CoRL.

PaLM-E: An Embodied Multimodal Language Model

Mehdi S. M. Sajjadi, Peter R. Florence, S. Levine, 2023, ICML.

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning

S. Levine, Karol Hausman, Corey Lynch, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Modeling Long-horizon Tasks as Sequential Interaction Landscapes pdf

Karol Hausman, Soren Pirk, Mohi Khansari, 2020, CoRL.

How to Leverage Unlabeled Data in Offline Reinforcement Learning

S. Levine, Karol Hausman, Chelsea Finn, 2022, ICML.

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, NeurIPS.

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

S. Levine, Karol Hausman, Chelsea Finn, 2021, ArXiv.

Occlusion-aware multi-robot 3D tracking

Gaurav S. Sukhatme, Karol Hausman, Pieter Abbeel, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Optimization-based Cooperative Multi-Robot Target Tracking with Reasoning about Occlusions

Gaurav S. Sukhatme, Karol Hausman, Ken Goldberg, 2015 .

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

Karol Hausman, Sergey Levine, Vikash Kumar, 2020, Robotics: Science and Systems.

A Metric Space Perspective on Self-Supervised Policy Adaptation

Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski, 2021, IEEE Robotics and Automation Letters.

A Geometric Perspective on Self-Supervised Policy Adaptation pdf

Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski, 2020, ArXiv.

Code as Policies: Language Model Programs for Embodied Control

Peter R. Florence, Karol Hausman, Andy Zeng, 2022, ArXiv.

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

Karol Hausman, Chelsea Finn, Paul Wohlhart, 2023, ArXiv.

Scaling Robot Learning with Semantically Imagined Experience

Karol Hausman, Ted Xiao, Jonathan Tompson, 2023, Robotics: Science and Systems.

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

S. Levine, Karol Hausman, Ted Xiao, 2022, ArXiv.

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

Peter R. Florence, S. Levine, Karol Hausman, 2023, ArXiv.

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

Gaurav S. Sukhatme, Stefan Schaal, Karol Hausman, 2018, ArXiv.

Autonomous Reinforcement Learning via Subgoal Curricula

Sergey Levine, Karol Hausman, Chelsea Finn, 2021, NeurIPS.

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control pdf

Karol Hausman, Julian Ibarz, Sergey Levine, 2020, ICLR.

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

Karol Hausman, Mrinal Kalakrishnan, Adrian Li, 2019, Robotics: Science and Systems.

Code as Policies: Language Model Programs for Embodied Control

Peter R. Florence, Karol Hausman, Andy Zeng, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

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

Gaurav S. Sukhatme, Larry H. Matthies, Roland Brockers, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Jump-Start Reinforcement Learning

S. Levine, Karol Hausman, Ted Xiao, 2022, ICML.

Active articulation model estimation through interactive perception

Gaurav S. Sukhatme, Karol Hausman, Scott Niekum, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

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

Gaurav S. Sukhatme, Sergey Levine, Stefan Schaal, 2017, ICML.

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

Gaurav S. Sukhatme, Karol Hausman, Ryan Julian, 2020, RSS 2020.

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

Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Scaling Robot Learning with Semantic Data Augmentation through Diffusion Models

Karol Hausman, Ted Xiao, Jonathan Tompson, 2022 .

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

S. Levine, Karol Hausman, Ted Xiao, 2022, Robotics: Science and Systems.

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

S. Levine, Karol Hausman, Chelsea Finn, 2020, CoRL.

Trajectory Optimization for Self-Calibration and Navigation

Gaurav S. Sukhatme, Karol Hausman, Stephan Weiss, 2017, Robotics: Science and Systems.

Planning high-speed safe trajectories in confidence-rich maps

Gaurav S. Sukhatme, Karol Hausman, Ali-akbar Agha-mohammadi, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Robot Skill Embeddings

Karol Hausman, Martin A. Riedmiller, Jost Tobias Springenberg, 2017, NIPS 2017.

EARNING AN E MBEDDING S PACE FOR T RANSFERABLE R OBOT S KILLS

Martin A. Riedmiller, Ziyun Wang, N. Heess, 2018 .

Data Sharing without Rewards in Multi-Task Ofﬂine Reinforcement Learning

Dario Amodei, S. Levine, K. Kavukcuoglu, 2022 .

Cooperative multi-robot control for target tracking with onboard sensing 1

Gaurav S. Sukhatme, Karol Hausman, Nora Ayanian, 2015, Int. J. Robotics Res..

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

Pannag R. Sanketi, S. Levine, Vincent Vanhoucke, 2022, Robotics: Science and Systems.

Force Estimation and Slip Detection for Grip Control using a Biomimetic Tactile Sensor

Gaurav S. Sukhatme, Yevgen Chebotar, Artem Molchanov, 2015 .

Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections

Eric Jang, Alexander Toshev, Karol Hausman, 2022, ArXiv.

Dynamics-Aware Unsupervised Skill Discovery

Karol Hausman, Sergey Levine, Vikash Kumar, 2020, ICLR 2020.

Regrasping Using Tactile Perception and Supervised Policy Learning

Gaurav S. Sukhatme, Oliver Kroemer, Stefan Schaal, 2017, AAAI Spring Symposia.

Region Growing Curriculum Generation for Reinforcement Learning pdf

Gaurav S. Sukhatme, Artem Molchanov, Karol Hausman, 2018, ArXiv.

BiGS: BioTac Grasp Stability Dataset

Gaurav S. Sukhatme, Oliver Kroemer, Stefan Schaal, 2016 .

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

Pannag R. Sanketi, Peter R. Florence, Montse Gonzalez Arenas, 2023, CoRL.

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

Montse Gonzalez Arenas, S. Levine, P. Pastor, 2023, Robotics: Science and Systems.

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

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023, ArXiv.

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

S. Levine, Karol Hausman, Ofir Nachum, 2023, CoRL.

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

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

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

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

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

Karol Hausman, Chelsea Finn, Paul Wohlhart, 2023, CoRL.

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

Karol Hausman, Roya Firoozi, Brian Ichter, 2023, ArXiv.

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

Karol Hausman, Brian Ichter, Dhruv Shah, 2023, NeurIPS.

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

S. Levine, S. Schaal, Karol Hausman, 2017, ICML.

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

Karol Hausman, Brian Ichter, Dorsa Sadigh, 2023, ArXiv.

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

Karol Hausman, Tianhe Yu, Kaylee Burns, 2023, ArXiv.

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

Karol Hausman, Joseph J. Lim, Eric Heiden, 2020, Int. J. Robotics Res..

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

Pannag R. Sanketi, Montse Gonzalez Arenas, Karol Hausman, 2024, arXiv.org.

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

Karol Hausman, Ted Xiao, Tianhe Yu, 2024, ArXiv.

GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks

Karol Hausman, Kaylee Burns, Ajinkya Jain, 2024, ArXiv.

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

N. Heess, Karol Hausman, Ted Xiao, 2024, ArXiv.

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics

Pannag R. Sanketi, Karol Hausman, Yuan Cao, 2023, ArXiv.

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Montse Gonzalez Arenas, Karol Hausman, Paul Wohlhart, 2023, ArXiv.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Diego Perez Liebana, William H. Guss, Alec Radford, 2022 .