How toTo Complicate Saying “Hello” To Your Robot
Interesting progression of complexity the more I think and read about human-robot greetings:
- Simple grammar, simple one to one response, grammar and responses in-line Python
- Many to one grammar, simple responses, still all defined in-line python
- Many to one grammar, random non repetitive responses for generic greeting, single Python script incorporating phrase classification and non-repeat response generation method(s)
- Make it a ROS node
- Parameter file one to one phrase/simple response map, separate ROS speech recognition server and ROS parameter file based response processor, no helper methods (GitHub/voskros)
- Switch to C++ and Behavior Trees
- Parameter file grammar, parameter file behavior tree, ROS behavior tree server with helper methods
- Above adding ROS Behavior Tree blackboard and ROS topic to blackboard methods and temporal blackboard validity methods
- Above adding behaviors that call ROS actions, services, or topic publishers
- Above adding “human has stopped near me” sensing and trigger/test (vision and or LIDAR)
- LLM with model-context-protocol agent with “tools” to execute robot functions
- Distributed Processing- too large for Raspberry Pi 5
- Vision LLM to Evaluate Human In View Emotions and Intensions
