dimensionalOS / dimensionalOS/dimos

Optimistic planning

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Dominant language
Python
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Description

Increase robustness in planning by following partial paths and optimistically planning through gaps


Synced from DIM-1548 by andrew

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points. Start by locating the planning subsystem and clarify how partial paths and gaps should be handled, including concrete scenarios and acceptance criteria. Done should be defined by agreed behavior and tests covering those scenarios.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
robotics
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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