Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Humanoid-Web3-IntentNet-v2
|
| 2 |
+
|
| 3 |
+
## Overview
|
| 4 |
+
Humanoid-Web3-IntentNet-v2 is an advanced lightweight NLP model built to translate natural language commands into structured humanoid robot action intents.
|
| 5 |
+
|
| 6 |
+
The model is optimized for robotics automation and Web3-based AI integration, enabling real-time action execution and blockchain logging compatibility.
|
| 7 |
+
|
| 8 |
+
## Model Architecture
|
| 9 |
+
- Base Model: DistilBERT
|
| 10 |
+
- Framework: PyTorch
|
| 11 |
+
- Task: Intent Classification
|
| 12 |
+
- Language: English
|
| 13 |
+
- Max Sequence Length: 128
|
| 14 |
+
- Labels: 6 action classes
|
| 15 |
+
|
| 16 |
+
## Supported Actions
|
| 17 |
+
- move_object
|
| 18 |
+
- pick_and_place
|
| 19 |
+
- rotate_object
|
| 20 |
+
- scan_object
|
| 21 |
+
- start_action
|
| 22 |
+
- stop_action
|
| 23 |
+
|
| 24 |
+
## Example
|
| 25 |
+
|
| 26 |
+
Input:
|
| 27 |
+
"Scan the QR code and move the device to the table."
|
| 28 |
+
|
| 29 |
+
Output:
|
| 30 |
+
{
|
| 31 |
+
"action": "scan_object",
|
| 32 |
+
"object": "QR code",
|
| 33 |
+
"destination": "table"
|
| 34 |
+
}
|
| 35 |
+
|
| 36 |
+
## Use Cases
|
| 37 |
+
- Humanoid robotics control
|
| 38 |
+
- Web3 AI agents
|
| 39 |
+
- Smart factory automation
|
| 40 |
+
- Blockchain-based activity logging
|
| 41 |
+
|
| 42 |
+
## Tags
|
| 43 |
+
robotics
|
| 44 |
+
humanoid-ai
|
| 45 |
+
web3-ai
|
| 46 |
+
intent-classification
|
| 47 |
+
automation
|