A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
active 2024-12-03 → 2026-05-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 516 days from 2024-12-03 to 2026-05-02. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 43 total, peak 3 in a day. Comments: 60 total, peak 5 in a day. Stars: 202 total, peak 10 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| arnoldland | 31 | 1 | 0 | 25 |
| fx-hit | 6 | 0 | 0 | 5 |
| jasper0314-huang | 6 | 0 | 0 | 3 |
| feifei-Liu | 4 | 0 | 0 | 2 |
| LiHaoHN | 4 | 0 | 0 | 2 |
| Koorye | 3 | 0 | 0 | 1 |
| jongsh | 3 | 0 | 0 | 1 |
| KuangzhiGe | 3 | 0 | 0 | 1 |
| Selen-Suyue | 3 | 0 | 0 | 1 |
| whichwhichgone | 3 | 0 | 0 | 3 |
| MstarLioning | 3 | 0 | 0 | 1 |
| LukeLIN-web | 3 | 0 | 0 | 2 |
| phamhe | 3 | 0 | 0 | 1 |
| CallMeFrozenBanana | 2 | 0 | 0 | 0 |
| minghaoguo20 | 2 | 0 | 0 | 0 |
| BouajilaHamza | 2 | 0 | 0 | 1 |
| JaehongJaehongMin | 2 | 0 | 0 | 2 |
| sidharth72 | 2 | 0 | 0 | 1 |
| doggiedoggie1026 | 2 | 0 | 0 | 1 |
| rickygrosvenor-pramanick | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#48Boltzmachine2026-01-27 07:16Unable to reproduce results on SimplerEnv
- Issue comment#36jongsh2025-12-03 06:08llama2-7b-pure restricted access permissions
- Issue comment#45arnoldland2025-11-10 05:44Segmentation fault when evaluating in simpler_env
- Issue comment#47arnoldland2025-11-10 05:32Devices on SimplerEnv Evaluation
- Issue comment#45Agenda82025-10-17 08:34Segmentation fault when evaluating in simpler_env
- Issue#44Selen-Suyue2025-08-30 09:24About Loss
- Issue comment#44Selen-Suyue2025-08-30 09:24About Loss
- Issue#44Selen-Suyue2025-08-22 02:58About Loss
- Issue#40fx-hit2025-08-18 07:15Random seed for eval
- Issue comment#41fx-hit2025-08-14 10:44Can training CogAct from PrismaticVLM achieve convergence?
- Issue comment#42arnoldland2025-08-13 18:09Clarity about custom fine-tuning data
- Issue comment#39arnoldland2025-08-13 17:58Simpler has problems evaluating script variables
- Issue#43tiantian2052025-08-08 22:06Finetuning speed on small custom dataset
- Issue comment#39antonyvan2025-07-29 01:33Simpler has problems evaluating script variables
- Issue#42rickygrosvenor-pramanick2025-07-25 19:26Clarity about custom fine-tuning data
- Issue#42rickygrosvenor-pramanick2025-07-23 19:17Clarity about custom fine-tuning data
- Issue#41fx-hit2025-07-21 07:16Can training CogAct from PrismaticVLM achieve convergence?
- Issue comment#38sidharth722025-07-08 07:31Regarding Fine-tuning of the model for specific task
- Issue#38sidharth722025-07-08 07:31Regarding Fine-tuning of the model for specific task
- Issue comment#38arnoldland2025-06-30 02:28Regarding Fine-tuning of the model for specific task
- Issue comment#37fx-hit2025-06-18 01:57Reproducible? Same seed and config, but different results in two runs.
- Issue comment#37fx-hit2025-06-16 03:39Reproducible? Same seed and config, but different results in two runs.
- Issue comment#37LukeLIN-web2025-06-16 03:17Reproducible? Same seed and config, but different results in two runs.
- Issue comment#37fx-hit2025-06-13 02:28Reproducible? Same seed and config, but different results in two runs.
- Issue comment#37arnoldland2025-06-12 06:23Reproducible? Same seed and config, but different results in two runs.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 202 stars here means stars gained during the window, not the repo's star count.