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- Technical Report: [coming soon]
- Demonstration: [coming soon]
- Detailed Control Flow: [coming soon]
- Decent graphic card, or Apple M-series device
- Minimum 8GB RAM
- 10+ GB free storage
Create conda environment
conda create -n kinovaAi python=3.10.14
Download the LM and move it tollm_models
Install packages:
pip install -r requirements.txt
Activate conda environment.
conda activate kinovaAi
Set the IP address of host server (i.e. running ROS, Kortex API & connected to arm) ininference2_clipseg.py.
Example:
HOST_IP = '192.168.1.100'
Start the server first by following theRemote AI Inference instructions onrishiktiwari/rishik_ros_kortex
Run the following command to connect to server and begin inference script:
python3 embodied_ai/inference2_clipseg.py
inference1_gdino is incomplete and not recommended.
Only actions translating to pick or pick_place are supported.English prompt works the best!
About
Embodied AI experiment using light-weight AI models. Tested with Kinova Gen3 arm
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