dimensionalOS / dimensionalOS/dimos

Rerun Bridge should reconstruct the tf tree automatically

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enhancement good first issue
Dominant language
Python
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Description

This is an ok first issue, but a bit involved.

The way rerun deals with tf and ros deals with tf is not the same

https://rerun.io/docs/concepts/logging-and-ingestion/transforms

we have a service that reconstructs and provides ros like tf tree @ dimos/protocol/tf/tf.py

rerun bridge should run dimos tf service internally (like modules do) subsribe to updates (add subscriptions/observables to tf service btw)

and it should correctly configure rerun TFs for entities drawn.

for now this is hacked, and unitree go2 blueprint hardcodes this
dimos/robot/unitree/go2/blueprints/basic/unitree_go2_basic.py

running rerun-bridge independantly has a broken tf tree, running rerun-bridge should have a correct TF tree and we shouldn't need custom config in unitree blueprints


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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

Start with dimos/protocol/tf/tf.py to understand the existing ROS-like TF reconstruction service, then inspect the rerun-bridge entry point and its relationship to service modules. Compare this with dimos/robot/unitree/go2/blueprints/basic/unitree_go2_basic.py and the transforms documentation. Done means running rerun-bridge independently produces a correct TF tree without custom configuration in the Unitree Go2 blueprint.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
robotics
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
45/100

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