Design SLAM RAI features
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 589
- Forks
- 76
- Avg merge
- 1d 13h
- Merged PRs (30d)
- 3
Description
Is your feature request related to a problem? Please describe.
Robots often need to find out about their environment first, building a map and localizing themselves on it. During this process, RAI can be used to guide exploration for mapping or to build a semantic map during the SLAM which adds knowledge and memory, which can be used to reason about the area itself and tasks that are to be given in the area. A great start is to design solutions for RAI.
Describe the solution you'd like
A document that specifies what methods can be used and how they are supposed to work. A rough effort estimation would be great, as well as proposed value estimation. This should help to prioritize work in an informed way.
Describe alternatives you've considered
No alternatives
Additional context
This could be an extensive research field.
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
Start by surveying the SLAM and RAI context described in the issue and the repository's existing capabilities. Done means producing a document that specifies possible exploration and semantic-mapping methods, explains how they should work, and includes rough effort and value estimates to support prioritization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, robotics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100