dimensionalOS / dimensionalOS/dimos
Create systematic controller tuning guide
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control
research
- Dominant language
- Python
- Stars
- 4.5k
- Forks
- 808
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 233
Description
Document a systematic approach for tuning controllers (PID, trajectory, etc.) with clear steps and methodology.
Deliverables:
- Controller tuning guide
- Parameter selection methodology
- Common issues and solutions
- Example tuning workflows
Context: Essential for onboarding and maintaining control quality.
Synced from DIM-752 by stash
Contributor guide
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
No file, test, or documentation entry point is named. Start by locating the repository's existing controller and documentation structure, then cover PID and trajectory tuning with parameter-selection steps, common issues and solutions, and example workflows; done means all listed deliverables form a usable onboarding guide.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, robotics
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100