Robotic Brain for Elder Care 1

The vision "The long-term goal of this system is to support those who truly need assistance—individuals who are paralyzed, bedridden, or require 24/7 care. However, to build a rapid MVP and a scalable architecture, I am starting with healthy users in ideal scenarios as my baseline. This choice simplifies the problem space and enables faster iteration during the early development stages. System Architecture: The Bridge Between Virtual & Logic To maintain a clean separation of concerns, I designed a decoupled architecture where Unity handles the physical simulation and Python acts as the high-level brain. Here is the data flow from user behavior in Unity to the AI decision-making process in the backend: The Simulation Environment Currently, the entire system is being verified within a simulated home environment built in Unity. I have defined three core experimental zones—Living Room, Workspace, and Kitchen—equipped with a dense network of virtual cameras. This setup allows me to test