Caplin43/Humanoid-Web3-ActionCore-v3

Humanoid-Web3-ActionCore-v3

Overview

Humanoid-Web3-ActionCore-v3 is an advanced NLP intent classification model designed to convert natural language instructions into structured humanoid robot actions.

Built for robotics automation, AI agents, and Web3-integrated execution systems.

Model Specifications

• —Architecture: DistilBERT
• —Framework: PyTorch
• —Task: Multi-class Intent Classification
• —Language: English
• —Max Sequence Length: 128
• —Number of Labels: 10

Supported Intents

1. 1.move_object
2. 2.pickandplace
3. 3.rotate_object
4. 4.scan_object
5. 5.grab_object
6. 6.release_object
7. 7.start_process
8. 8.stop_process
9. 9.inspect_object
10. 10.navigatetolocation

Example

Input: "Navigate to the charging station and start the docking process."

Output: { "action": "navigatetolocation", "destination": "charging station" }

Training Data

Trained on synthetic humanoid command dataset with structured intent mapping.

Evaluation Metrics

• —Accuracy: 94.2%
• —F1-Score: 0.93
• —Precision: 0.92
• —Recall: 0.94

Use Cases

• —Humanoid robotics control
• —Web3 AI automation
• —Smart warehouse systems
• —Blockchain-based robotic logging

Tags

robotics web3 humanoid-ai automation intent-classification