OpenBMB / OpenBMB/SimpleMemVLA
How to adapt for a VLM?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 59
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
VLMs with harness have recently become very competitive with VLAs see for example
https://showlab.github.io/Show-Harness/
The question is how to adapt your method to a Vlm based harness ? Since it has no action heads I wonder how to use your solution..
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry point. Start by reviewing the linked Show-Harness reference and the repository's existing method, then clarify how a VLM-based harness would represent actions; done requires an agreed adaptation plan and implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, robotics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100