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Collections including paper arxiv:2510.00406

Vision Language Models for Robotics

Unified Vision-Language-Action Model

Paper • 2506.19850 • Published Jun 24 • 27
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 143
3D-VLA: A 3D Vision-Language-Action Generative World Model

Paper • 2403.09631 • Published Mar 14, 2024 • 11
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots

Paper • 2312.14457 • Published Dec 22, 2023 • 1

SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models

Paper • 2511.15605 • Published 21 days ago • 22
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65

VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65
VLA-RFT/Base-Libero-Spatial

1B • Updated Oct 2 • 6
VLA-RFT/WorldModel-Libero-Spatial

Updated Oct 2 • 11
VLA-RFT/WorldModel-Tokenizer

Updated Oct 2 • 16

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Multimodal Agent

Gemini Robotics: Bringing AI into the Physical World

Paper • 2503.20020 • Published Mar 25 • 29
Magma: A Foundation Model for Multimodal AI Agents

Paper • 2502.13130 • Published Feb 18 • 58
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Paper • 2410.23218 • Published Oct 30, 2024 • 49

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 143
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65

WorldVLA: Towards Autoregressive Action World Model

Paper • 2506.21539 • Published Jun 26 • 40
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Paper • 2509.05263 • Published Sep 5 • 10
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65
GigaBrain-0: A World Model-Powered Vision-Language-Action Model

Paper • 2510.19430 • Published Oct 22 • 48

Vision Language Models for Robotics

Unified Vision-Language-Action Model

Paper • 2506.19850 • Published Jun 24 • 27
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 143
3D-VLA: A 3D Vision-Language-Action Generative World Model

Paper • 2403.09631 • Published Mar 14, 2024 • 11
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots

Paper • 2312.14457 • Published Dec 22, 2023 • 1

Multimodal Agent

Gemini Robotics: Bringing AI into the Physical World

Paper • 2503.20020 • Published Mar 25 • 29
Magma: A Foundation Model for Multimodal AI Agents

Paper • 2502.13130 • Published Feb 18 • 58
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Paper • 2410.23218 • Published Oct 30, 2024 • 49

SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models

Paper • 2511.15605 • Published 21 days ago • 22
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Paper • 2506.01844 • Published Jun 2 • 143
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65

VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65
VLA-RFT/Base-Libero-Spatial

1B • Updated Oct 2 • 6
VLA-RFT/WorldModel-Libero-Spatial

Updated Oct 2 • 11
VLA-RFT/WorldModel-Tokenizer

Updated Oct 2 • 16

WorldVLA: Towards Autoregressive Action World Model

Paper • 2506.21539 • Published Jun 26 • 40
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Paper • 2509.05263 • Published Sep 5 • 10
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1 • 65
GigaBrain-0: A World Model-Powered Vision-Language-Action Model

Paper • 2510.19430 • Published Oct 22 • 48

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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