Welcome to ROSMASTER M1 PRO repository
6.Intention estimation
Intention Understanding
1. Course Content
Basic: Master how to customize a user's unique intention understanding function through a RAG knowledge base (which can be understood as adding training samples to the knowledge base to provide context reference for the AI model's retrieval).
Advanced: Master how to debug the intention understanding effect on the Dify side.
Note
All operation steps are the same as those in AI Model - Voice Version. The differences are that the command input method is different and there is no voice reply. For detailed operation steps and source code analysis, refer to the AI Model - Voice Version course content.
2. Preparation
For the operation steps of recording semantic locations to the map mapping file, refer to the previous lesson "Multimodal Visual Understanding + SLAM Navigation".
ros2 launch yahboomcar_bringup dify_llm_agents.launch.py use_nav:=true use_camera:=true
Text interaction terminal
xxxxxxxxxxdify_tui

Use the
/clearcommand to clear the terminal conversation history; press Ctrl+Q to exit the interaction terminal.
3. Case Demonstration
For detailed operation steps and source code analysis, refer to the AI Model - Voice Version course content.