File size: 989 Bytes
ea92609 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # Humanoid-Web3-IntentNet-v2
## Overview
Humanoid-Web3-IntentNet-v2 is an advanced lightweight NLP model built to translate natural language commands into structured humanoid robot action intents.
The model is optimized for robotics automation and Web3-based AI integration, enabling real-time action execution and blockchain logging compatibility.
## Model Architecture
- Base Model: DistilBERT
- Framework: PyTorch
- Task: Intent Classification
- Language: English
- Max Sequence Length: 128
- Labels: 6 action classes
## Supported Actions
- move_object
- pick_and_place
- rotate_object
- scan_object
- start_action
- stop_action
## Example
Input:
"Scan the QR code and move the device to the table."
Output:
{
"action": "scan_object",
"object": "QR code",
"destination": "table"
}
## Use Cases
- Humanoid robotics control
- Web3 AI agents
- Smart factory automation
- Blockchain-based activity logging
## Tags
robotics
humanoid-ai
web3-ai
intent-classification
automation |