Modular AI with Robotics

This section explores how JuliaOS could serve as the control layer for modular robotic systems - bridging perception, planning, and actuation. The goal is to support flexible architectures where hardware modules (e.g. arms, wheels, vision sensors) can be added, removed, or reconfigured, while intelligent agents adapt accordingly.

Possible Architecture

• Gemma 3N might interpret high-level commands (text, voice, or structured input)

• Agents could handle planning through swarm logic or task-specific behaviours

• ROS2 may be used to manage low-level control and real time signals

• Hardware modules might communicate through a unified interface or message bus

Potential Benefits

• Support for modular robots with interchangeable parts

• Adaptive behaviour based on available hardware

• Easier prototyping and reconfiguration

• Local, offline operation on lightweight embedded devices (e.g. Jetson, Pi)

Example

Imagine a field robot built from modular parts - wheels, vision, and a robotic arm. A user gives the command: “Inspect that object and report damage.” JuliaOS components could interpret, plan, and execute the task across modules. If the arm is unavailable, the robot might still complete inspection using vision alone.