Description:

The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of the underlying hardware. That is not to say that Pyro is just a toy. In fact, Pyro is used for real robotics research as well as courseware.

Pyro is written in Python. Python is an interpreted language, which means that you can experiment interactively with your robot programs. In addition to being an environment, Pyro is also a collection of object classes in Python. Because Pyro abstracts all of the underlying hardware details, it can be used for experimenting with several different types of mobile robots and robot simulators. Until now, it has been necessary to learn very different and specific control languages for different mobile robots, particularly those manufactured by different companies. Now, a single language can be used to program many different robots, allowing code to be shared across platforms as well as allowing students to experiment with different robots while learning a single language and environment.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: None

Tags: Neural Networks, Robotics, Machine Learning, Genetic Algorithms

Archive: download here

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