Ted Xiao

According to our database1, Ted Xiao authored at least 41 papers between 2017 and 2024.

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Bibliography

2024
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.
CoRR, 2024

OpenVLA: An Open-Source Vision-Language-Action Model.
CoRR, 2024

Octo: An Open-Source Generalist Robot Policy.
CoRR, 2024

Evaluating Real-World Robot Manipulation Policies in Simulation.
CoRR, 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
CoRR, 2024

Efficient Data Collection for Robotic Manipulation via Compositional Generalization.
CoRR, 2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.
CoRR, 2024

RT-H: Action Hierarchies Using Language.
CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR, 2024

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents.
CoRR, 2024

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Physically Grounded Vision-Language Models for Robotic Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.
CoRR, 2023

Open-World Object Manipulation using Pre-trained Vision-Language Models.
CoRR, 2023

Demonstrating Large Language Models on Robots.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Scaling Robot Learning with Semantically Imagined Experience.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023



Jump-Start Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Token Turing Machines.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


Open-World Object Manipulation using Pre-Trained Vision-Language Models.
Proceedings of the Conference on Robot Learning, 2023


2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRR, 2022

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale.
Proceedings of the Conference on Robot Learning, 2022


Inner Monologue: Embodied Reasoning through Planning with Language Models.
Proceedings of the Conference on Robot Learning, 2022

2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.
CoRR, 2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.
CoRR, 2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.
Proceedings of the 38th International Conference on Machine Learning, 2021

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning Latent Plans from Play.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017
Goal-driven dynamics learning via Bayesian optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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