Qianzhong-Chen/openspiral

[IEEE T-RL 2026] Beyond Action Residuals: Real-World Robot Policy Steering via Bottleneck Latent Reinforcement Learning (https://arxiv.org/abs/2605.19919)

Repository associated with paper titled "FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation", presented at ICML 2026.

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

[Science Robotics 2026] Official Implementation of the paper RL-100

[CVPR2026]AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots

[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"

LoopWAM: Closed-Loop Generalist Policy Improvement from Deployment Rollouts

[NeurIPS 2026] Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models