Ted Xiao
31 papers · 2019–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(18)
π§
Keyword Pioneer
π₯
Mega-Team Β· Legion
π§¬
Topic Evolution
π¬
Deep Specialist
(10)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Bronze
ποΈ
Keyword Collector
(141)
Top co-authors
Research topics
Keywords
imitation learning
(6)
robotic manipulation
(5)
robot manipulation
(5)
value function
(4)
representation learning
(4)
large language model
(3)
reinforcement learning
(3)
vision-language model
(3)
grounded language
(2)
mobile manipulator
(2)
zero-shot generalization
(2)
robotic control
(2)
domain generalization
(2)
multi-task learning
(2)
deep reinforcement learning
(2)
robot planning
(2)
policy learning
(2)
vision-language-action model
(2)
zero-shot learning
(2)
offline data
(2)
Papers
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
CoRL 2025
Vision Language Models are In-Context Value Learners
ICLR 2025
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Efficient Data Collection for Robotic Manipulation via Compositional Generalization
RSS 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
CoRL 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
Octo: An Open-Source Generalist Robot Policy
RSS 2024
OpenVLA: An Open-Source Vision-Language-Action Model
CoRL 2024
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
RT-H: Action Hierarchies using Language
RSS 2024
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CoRL 2024
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
ICLR 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
ICML 2024
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
Demonstrating Large Language Models on Robots
RSS 2023
Jump-Start Reinforcement Learning
ICML 2023
Language to Rewards for Robotic Skill Synthesis
CoRL 2023
Open-World Object Manipulation using Pre-Trained Vision-Language Models
CoRL 2023
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
RSS 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CoRL 2023
Scaling Robot Learning with Semantically Imagined Experience
RSS 2023
Token Turing Machines
CVPR 2023
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CoRL 2022
Inner Monologue: Embodied Reasoning through Planning with Language Models
CoRL 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
CoRL 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
ICLR 2022
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
ICML 2021
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
CoRL 2021
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
ICLR 2020
Learning Latent Plans from Play
CoRL 2019