% Key papers for Vision-language-action foundation models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2025_cot_25731,
  title = {{CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33233},
}

@inproceedings{cvpr2025_simlingo_27673,
  title = {{SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35169},
}

@inproceedings{aaai2026_opendrivevla_105630,
  title = {{OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38386},
}

@inproceedings{iclr2024_vision_35130,
  title = {{Vision-Language Foundation Models as Effective Robot Imitators}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17943},
}

@inproceedings{cvpr2025_momanipvla_26974,
  title = {{MoManipVLA: Transferring Vision-language-action Models for General Mobile Manipulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32433},
}

@inproceedings{neurips2025_autovla_74880,
  title = {{AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=28qUA2bSe5},
}

@inproceedings{cvpr2025_omnimanip_27126,
  title = {{OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33901},
}

@inproceedings{icml2024_3d_43877,
  title = {{3D-VLA: A 3D Vision-Language-Action Generative World Model}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34575},
}

@inproceedings{neurips2024_deer_72083,
  title = {{DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95242},
}

@inproceedings{neurips2024_robomamba_71580,
  title = {{RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95690},
}

@inproceedings{neurips2025_futuresightdrive_78481,
  title = {{FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=fCirUh6FRb},
}

@inproceedings{neurips2025_vla_77100,
  title = {{VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QZYZ0Xm58q},
}

@inproceedings{aaai2026_vla_106624,
  title = {{VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38931},
}

@inproceedings{neurips2025_impromptu_78973,
  title = {{Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=kMQju9SFBP},
}

@inproceedings{neurips2025_efficientvla_77288,
  title = {{EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=SELYlDHZk2},
}

@inproceedings{aaai2026_mole_106638,
  title = {{MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38945},
}

@inproceedings{cvpr2025_physvlm_27253,
  title = {{PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35212},
}

@inproceedings{neurips2024_vlmimic_71045,
  title = {{VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96165},
}

@inproceedings{neurips2025_cogvla_76116,
  title = {{CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing \& Sparsification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Fg9HufTI0K},
}

@inproceedings{neurips2025_dreamvla_76990,
  title = {{DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=PK07eretkF},
}