Robotics

Team RoboWeave seeks deadline extension after Docker fails in AI industry challenge

A Docker bug nearly derailed weeks of work for this competition team...

Deep Dive

Team RoboWeave, led by participant Mughni_Irfan, has publicly requested a short deadline extension or direct evaluation of their updated Docker image in the AI for Industry Challenge. Their earlier qualification submission failed because of a Docker/container configuration issue, not the underlying policy logic. After identifying and fixing the bug, they rebuilt the image (tag v2) and pushed it to AWS ECR, verifying it locally using the official docker-compose evaluation setup. However, they ran out of time to formally resubmit and wait for evaluation before the deadline.

In a forum post, the team explains that the corrected image was successfully pushed with digest sha256:9706664a4691333cbd1eb4e96038015a595dde7e7e8fca7b8492d6a1ca4e0ca1, but there was insufficient remaining time to complete a full resubmission. They are asking organizers to either extend the qualification deadline by about 30 minutes or to evaluate the image that is already in ECR. The team emphasizes they've worked hard for three weeks and hopes for consideration. Their case highlights a common pain point in AI competitions: infrastructure issues (e.g., Docker setup) that can derail technically correct solutions.

Key Points
  • Team: RoboWeave (Mughni_Irfan) in AI for Industry Challenge
  • Cause: Failed earlier submission due to Docker/container bug, not policy logic
  • Fix: Rebuilt and pushed v2 image to AWS ECR, verified locally, but out of time to resubmit

Why It Matters

Even correct AI solutions can fail due to container infrastructure issues—showing the importance of DevOps in competitions.