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Caplin43/Humanoid-Web3-IntentNet-v2

sourceHugging Faceupdated 7mo agoView on Hugging Face

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Model Card

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
—pickandplace
—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