VLA

Vision-Language-Action models (VLA)

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VLA models

Paper: Vision-Language-Action Models: Concepts, Progress, Applications and Challenges

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RT-1

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

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RT-2

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

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BridgeData V2

Paper: BridgeData V2: A Dataset for Robot Learning at Scale

Code: https://github.com/rail-berkeley/bridge_data_v2

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Open X-Embodiment

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

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OpenVLA

Paper: OpenVLA: An Open-Source Vision-Language-Action Model

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OpenVLA-OFT

Paper: Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Code: https://github.com/moojink/openvla-oft

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SimpleVLA-RL

Paper: SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Code: https://github.com/PRIME-RL/SimpleVLA-RL

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SmolVLA

Model: lerobot/smolvla_base
Paper: SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

SO-101 robot

SO-ARM101 AI 機器手臂PRO套件 for LeRobot

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Robot Learning

Paper: Robot Learning: A Tutorial
Code: https://github.com/fracapuano/robot-learning-tutorial

HIL-SERL

Generalist Robot Policies

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RLVR-World

Paper RLVR-World: Training World Models with Reinforcement Learning
Code: https://github.com/thuml/RLVR-World

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Agentic Robot

Paper: Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents
Github:https://github.com/Agentic-Robot/agentic-robot

SAP: Standardized Action Procedure for Coordinated Agentic Control

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ACoT-VLA

Paper: ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models

This site was last updated April 15, 2026.