P6: Prediction & fleet (stretch)
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Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- machine-learning
Research direction
Read the p6-failure-prediction OpenSpec change and its dependency, issue #20; consult the linked roadmap for the dependency graph, migration, quality gates and risks, and references.md for cited work. The scope calls for labeling failures from pit notes and maintenance records in a serial-number-keyed maintenance_events table, then modeling time to failure or component degradation. Done means these prediction capabilities are implemented; cross-robot pooling is optional and depends on portable robot configuration.
Written by the indexing model from the issue text.
Description
Size: L · Depends on: IgniteRobotics/flashpoint#20 · OpenSpec: p6-failure-prediction
Scope
- Label failures from pit notes and maintenance records to make a
maintenance_eventstable keyed by serial number. Unit identity makes these labels reliable. - Model time to failure or degradation slopes per component (thermal rise rate, residual drift). Literature shows measurable current and speed shifts before faults (Jin et al., 2014).
- Optionally pool data across robots or teams. That needs the robot config to be portable.
Moved from the rewrite roadmap on 2026-10-19. That doc keeps the dependency graph, migration, quality gates and risks. Status lives here. Author-year citations are in references.md. pitfall N refers to 03-pitfalls-and-performance.md.
- Dominant language
- Python
- Stars
- 0
- Forks
- 1
- Avg merge
- 18h 37m
- Merged PRs (30d)
- 15
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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