### Make a fork or copy of this repo and fill in your team submission details! ###

AMD_Robotics_Hackathon_2025_[Project Name]

Team Information

Team: Your team number, name of your team, and members

Summary: A brief description of your work

< Images or video demonstrating your project >

Submission Details

1. Mission Description

• Real world application of your mission

2. Creativity

• What is novel or unique in your approach?
• Innovation in design, methodology, or application

3. Technical implementations

• Teleoperation / Dataset capture
  • <Image/video of teleoperation or dataset capture>
• Training
• Inference
  • <Image/video of inference eval>

4. Ease of use

• How generalizable is your implementation across tasks or environments?
• Flexibility and adaptability of the solution
• Types of commands or interfaces needed to control the robot

Additional Links

For example, you can provide links to:

• Link to a video of your robot performing the task
• URL of your dataset in Hugging Face
• URL of your model in Hugging Face
• Link to a blog post describing your work

Code submission

This is the directory tree of this repo, you need to fill in the mission directory with your submission details.

AMD_Robotics_Hackathon_2025_ProjectTemplate-main/
├── README.md
└── mission
    ├── code
    │   └── <code and script>
    └── wandb
        └── <latest run directory copied from wandb of your training job>

The latest-run is generated by wandb for your training job. Please copy it into the wandb sub directory of you Hackathon Repo.

The whole dir of latest-run will look like below:

$ tree outputs/train/smolvla_so101_2cube_30k_steps/wandb/
outputs/train/smolvla_so101_2cube_30k_steps/wandb/
├── debug-internal.log -> run-20251029_063411-tz1cpo59/logs/debug-internal.log
├── debug.log -> run-20251029_063411-tz1cpo59/logs/debug.log
├── latest-run -> run-20251029_063411-tz1cpo59
└── run-20251029_063411-tz1cpo59
    ├── files
    │   ├── config.yaml
    │   ├── output.log
    │   ├── requirements.txt
    │   ├── wandb-metadata.json
    │   └── wandb-summary.json
    ├── logs
    │   ├── debug-core.log -> /dataset/.cache/wandb/logs/core-debug-20251029_063411.log
    │   ├── debug-internal.log
    │   └── debug.log
    ├── run-tz1cpo59.wandb
    └── tmp
        └── code

NOTES

1. The latest-run is the soft link, please make sure to copy the real target directory it linked with all sub dirs and files.
2. Only provide (upload) the wandb of your last success pre-trained model for the Mission.