We let robots talk to each other.

In addition to supporting communication between your robot’s network of devices and its local “Master Control Program”, the framework supports peer-to-peer communication between multiple “MCP’s” allowing for “networks of networks”.

The Robby Framework, "out of the box," simplifies the ability to merge multiple data feeds coming from different sensors. No need to write code from scratch to achieve this functionality.

For example, you may want to build multiple robots that can communicate with each other, but that are also subject to overall control by a remote computer or device. This is simple to accomplish using the Robby Framework. The framework does all the drudge work of the communication, leaving you to do the high-level orchestration. (i.e. the fun part…)

You don’t need to be a “master programmer” to use the Robby Framework. If you have a good familiarity with standard C# and a decent understanding of basic programming concepts, you are ready to use it. All the complex code for handling the two-way communication with devices is contained within the framework. You’ll use a simple, “Drag-and-Drop” user interface to build networks of “Channels”. Channels are made up of configurable “Connectors” which handle the communication with attached devices, such as micro-controllers (Arduino, Rasperry-Pi, etc…), servo controllers, depth cameras, lidar sensors or even cloud services such as Microsoft Azure’s Face API. There’s even a connector that uses the Windows 10 speech library to easily add speech recognition and text-to-speech capabilities to your robot. Once your network is built, you’ll build your own “Master Control Program” derived from a base class contained in a standard DLL you can reference (or add as a NuGet package) in your C# project. The base class provides access to all your robot’s devices using the framework.