We appreciate the interest of prospective students - no lab worth its name could run without good students! However, like many research labs, we get a significant number of interested persons contacting us from all over the globe. There is no way we could possibly accept or even answer all of them. You need to be aware that the University of Manitoba does not guarantee funding to graduate students, and that local funding opportunities for international graduate students are extremely limited. In general, we can make no promises for funding, and because we have limited funding that has to be justified to granting agencies, we generally do not have the ability to commit to funding any student until they are already here and can demonstrate their ability to work on the projects we do have funding for.

By way of advice when contacting any research institution, including this one, "spamming" many individuals with graduate student inquiries is generally frowned upon by all concerned. It does not leave a good impression when one reads an email from an potential student expressing a strong interest in one's research area and a great desire to study with that particular individual, only to find that many other faculty got the same piece of email. While we appreciate that it is not always easy to find entrance into a graduate program, please know that the obvious insincerity in doing this does nothing but harm your chances of finding a placement or funding.

We came in third in the world in teen-size humanoids at RoboCup-2017, along with our partner, Amirkabir University of Technology, and took third place in the Technical Challenge!

The Autonomous Agents Laboratory is one of the research laboratories within the Department of Computer Science at the University of Manitoba, and is directed by Dr. John Anderson and Dr. Jacky Baltes. The goal of our work is the improvement of technology surrounding hardware and software agents as well as the development of applications employing these technologies. We are especially interested in cooperation in multi-agent settings, and the infrastructure necessary to support this and other forms of social interaction in intelligent systems.