Evolve your own robot army by tuning their artificial brains for challenging tasks, then pit them against your friends' teams in online competitions.
New features in NERO 2.0 include an interactive game mode called territory capture, as well as a new user interface and more extensive training tools.
NERO is a result of an academic research project in artificial intelligence, based on the rtNEAT algorithm. It is also a platform for future research on intelligent agent technology. The NERO project is run by the Neural Networks Group of the Department of Computer Sciences at the University of Texas at Austin. To learn more about NERO, check the About page and the illustrative videos. To try out NERO, download the game binary and run the tutorial. To use NERO in your research or teaching, contact NERO team.
Currently, we are developing an open source successor to NERO, OpenNERO, a game platform for AI research and education. If you like NERO, please consider contributing your testing and development skills to that project. You can find out more at OpenNERO Google Code page.