RynnVLA-002: A Unified Vision-Language-Action and World Model Paper • 2511.17502 • Published 12 days ago • 24
RynnVLA-002: A Unified Vision-Language-Action and World Model Paper • 2511.17502 • Published 12 days ago • 24
RynnVLA-002: A Unified Vision-Language-Action and World Model Paper • 2511.17502 • Published 12 days ago • 24 • 2
Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors Paper • 2508.08896 • Published Aug 12 • 10 • 3
High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting Paper • 2510.10637 • Published Oct 12 • 12
High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting Paper • 2510.10637 • Published Oct 12 • 12 • 2
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources Paper • 2509.21268 • Published Sep 25 • 102
RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation Paper • 2509.15212 • Published Sep 18 • 21
RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation Paper • 2509.15212 • Published Sep 18 • 21
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model Paper • 2509.09372 • Published Sep 11 • 237
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model Paper • 2509.09372 • Published Sep 11 • 237 • 6
Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors Paper • 2508.08896 • Published Aug 12 • 10
Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors Paper • 2508.08896 • Published Aug 12 • 10 • 3
view article Article RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation Aug 11 • 28
view article Article RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation Aug 11 • 28
Shifting AI Efficiency From Model-Centric to Data-Centric Compression Paper • 2505.19147 • Published May 25 • 144
VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL Paper • 2505.15791 • Published May 21 • 5
VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL Paper • 2505.15791 • Published May 21 • 5 • 2
SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning Paper • 2505.12448 • Published May 18 • 10