AI MODELS
Follow important model changes, understand what changed, and check the official evidence.
New versions, capabilities, access and real-world deployments.
UnifoLM-WLA
Unitree released the Base checkpoint and fine-tuning code.
Previously reported
September 20: model modules and action-expert training code available
This announcement
September 28: Base weights and fine-tuning code available
UnifoLM-WLA
Unitree adds model modules and action-expert training code.
Previously reported
September 11: UnifoLM-ER-1 and ER-Flow weights released
This announcement
September 20: model modules and action-expert training code released
Figure Helix
Figure reports tests across 30 unseen homes.
Previously reported
Helix 02: data collected in deployment environments
This announcement
Helix 2.5: three whole-body tasks in 30 unseen homes
Search models, developers or robots; explore versions, updates and official sources.
| Model series | Research organization / team | Type | Resources | Recorded versions | Version release date | Related robots | Actions |
|---|---|---|---|---|---|---|---|
| MolmoAct2 Ai2 action-reasoning model family for real-world robot deployment. | Research organization / team University of Washington 2 institutions | TypeVLA | Resources | Recorded versionsMolmoAct2MolmoAct2-Think | Version release dateMay 5, 2026May 5, 2026 | Related robotsSO-100SO-101 | Actions Choose a version to compare |
| FastWAM World-action model family that learns future imagination but acts without rollout at inference. | Research organization / team Galaxea Dynamics 2 institutions | TypeRobot policyWorld-action model | Resources | Recorded versionsFastWAM base | Version release dateMarch 18, 2026 | Related robotsSO-101 | Actions |
| Robometer General-purpose vision-language reward model for robot task progress. | Research organization / team | TypeReward & task progress | Resources | Recorded versionsRobometer 4B | Version release dateMarch 2, 2026 | Related robotsSO-101 | Actions |
| EVO1 Evo-1 is a lightweight vision-language-action model from the MINT lab at the School of AI, Shanghai Jiao Tong University. It preserves semantic alignment through two-stage training. The paper was submitted on 6 November 2025, with Tao Lin as first author. | Research organization / team | TypeVLA | Resources | Recorded versionsEVO1 | Version release dateNovember 6, 2025 | Related robots— | Actions |
| X-VLA Soft-prompted cross-embodiment VLA family. | Research organization / team2 institutions | TypeVLA | Resources | Recorded versionsX-VLA 0.9B | Version release dateOctober 12, 2025 | Related robotsWidowX-250 6DOF | Actions |
| RDT Robotics Diffusion Transformer family for bimanual manipulation. | Research organization / team | TypeVLARobot policy | Resources | Recorded versionsRDT2-FMRDT2-VQ | Version release dateSeptember 2025September 2025 | Related robots— | Actions Choose a version to compare |
| EO-1 EO-1 is a unified embodied foundation model for general robot control, combining interleaved vision, text and action training with multimodal reasoning. The paper lists Shanghai AI Laboratory, Fudan University, AgiBot and Northwestern Polytechnical University. | Research organization / team | TypeVLA | Resources | Recorded versionsEO-1 | Version release dateAugust 28, 2025 | Related robotsWidowX-250 6DOFG1 | Actions |
| OpenVLA Open vision-language-action model family for robot manipulation. | Research organization / team | TypeVLA | Resources | Recorded versionsOpenVLA 7B | Version release dateJune 13, 2024 | Related robotsWidowX-250 6DOF | Actions |
| Octo Open-source generalist robot policy family. | Research organization / team | TypeVLA | Resources | Recorded versionsOcto-Base 1.5Octo-Small 1.5 | Version release dateMay 20, 2024May 20, 2024 | Related robotsWidowX-250 6DOF | Actions Choose a version to compare |
| InternVLA InternVLA is a Shanghai AI Laboratory model series spanning robot manipulation and navigation. M1 studies spatially guided policies, A1 and A1.5 combine understanding and action, and N1 uses a dual-system navigation design. | Research organization / team | TypeVLA | ResourcesWeights
| Recorded versionsInternVLA-A1InternVLA-A1.5InternVLA-M1InternVLA-N1 | Version release date———— | Related robots— | Actions Choose a version to compare |
— means no confirmed information; it does not mean unsupported or unavailable.
