Ted Xiao
31 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
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Conference Polyglot
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Academic Marathon
(6)
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Dynamic Duo
(18)
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Mega-Team
(98)
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(7)
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Keyword Collector
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Conferences
CORL (12)
RSS (10)
ICLR (4)
ICML (4)
CVPR (1)
Top co-authors
Keywords
imitation learning
(5)
robot manipulation
(5)
robotic manipulation
(4)
representation learning
(4)
reinforcement learning
(3)
large language model
(3)
multi-task learning
(2)
vision-language model
(2)
domain generalization
(2)
offline datum
(2)
mobile manipulator
(2)
robot planning
(2)
grounded language
(2)
sample complexity
(1)
data augmentation
(1)
self-supervised learning
(1)
transfer learning
(1)
offline reinforcement learning
(1)
model predictive control
(1)
semi-supervised learning
(1)
Papers
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
CORL 2025
Vision Language Models are In-Context Value Learners
ICLR 2025
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CORL 2024
OpenVLA: An Open-Source Vision-Language-Action Model
CORL 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
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
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
Efficient Data Collection for Robotic Manipulation via Compositional Generalization
RSS 2024
RT-H: Action Hierarchies using Language
RSS 2024
Octo: An Open-Source Generalist Robot Policy
RSS 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Language to Rewards for Robotic Skill Synthesis
CORL 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CORL 2023
Open-World Object Manipulation using Pre-Trained Vision-Language Models
CORL 2023
Token Turing Machines
CVPR 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
Jump-Start Reinforcement Learning
ICML 2023
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
RSS 2023
Demonstrating Large Language Models on Robots
RSS 2023
Scaling Robot Learning with Semantically Imagined Experience
RSS 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
Inner Monologue: Embodied Reasoning through Planning with Language Models
CORL 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
ICLR 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
CORL 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CORL 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