#vla
- GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture GigaAI research
- Alibaba Releases Qwen-RobotSuite: Three Embodied AI Foundation Models Alibaba / Qwen models-llm
- World Action Models: A Survey National University of Singapore research
- LingBot-VLA 2.0: Bridging the Gap Between Foundation VLA Models and Real-World Deployment LingBot Team research
- τ₀-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation Shanghai Innovation Institute research
- InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization InternRobotics research
- PhysBrain 1.0: Human Egocentric Video as Robot Training Data for VLA Models (133 HF upvotes) DeepCybo research
- BadWAM: When World-Action Models Dream Right but Act Wrong research
- Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories Xiaomi Robotics research
- RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model Alibaba DAMO Academy research
- X-Planner: event-structured task planning for embodied intelligence X-Square Robot research