6h 23m 24s logged

Device Control Development Update

Yesterday I worked on expanding the Device Control system in my AI assistant.

The idea behind this feature is to allow the AI to perform real actions on an Android device using the Accessibility Service. When the user gives a command such as “Subscribe to MrBeast on YouTube”, the main AI analyzes the request and delegates it to the Device Control tool.

Current Workflow

Launch the required application using:
- PackageManager.getLaunchIntentForPackage()
- startActivity()
Capture a compressed screenshot of the current screen.
Analyze the screenshot to identify UI elements and their screen coordinates.
Navigate the interface and perform actions through the Android Accessibility APIs.

Current Features

Open applications
Tap at (x, y)
Swipe gestures
Type text

These core primitives allow the AI to interact with almost any Android application through UI automation.

Future Improvements

My main goals are to improve both speed and accuracy.

Instead of navigating through multiple screens for simple system operations, I plan to add native high-level commands directly into the Device Control tool, such as:

flashlight_toggle
wifi_toggle
bluetooth_toggle
mobile_data_toggle
volume_set
brightness_set
take_screenshot
lock_screen
open_notifications
open_quick_settings
go_home
go_back
open_recents

These commands will allow the AI to execute common Android actions instantly without relying on visual navigation.

For more complex tasks—such as interacting with third-party applications—the tool will continue using the screenshot + coordinate-based navigation pipeline.

Long-Term Vision

The goal is to build a hybrid Device Control system:

Native commands for common Android operations (fast, reliable, and efficient).
Vision-guided UI automation for complex interactions within any application.

This architecture will significantly reduce execution time, improve reliability, and make the assistant capable of handling virtually any task on an Android device.