Briana Lowe Wellman, PH.D.



It is predicted in the future, that robots will become more present in the battlefields. Deploying robots instead of humans can prevent human injuries and casualties. In addition, robots can complete missions in air, space, underwater and other extreme environments that are difficult for humans to reach. When working in teams, they can become even more powerful. Multiple robots can complete tasks faster than when working alone. If one robot fails, the other robots can continue with the job. However, there are several challenges that need to be addressed for a team of robots to efficiently function in dynamic, unpredictable environments. The grand challenge of my research is to provide robot teams the ability to learn, respond, and adapt to changes by modifying their behavior in an autonomous manner.


To encourage learning in my courses, I give students problem-solving and decision-making activities. Instead of lecturing the entire class time, I give students a problem that they have to research and find the answers independently or in a cooperative group. I have learned that when students find answers independently and ask questions about what they find are more likely to retain the information. At times, I try to remove the front of the classroom and allow students to interact with each to discuss concepts. I have had the opportunity to teach computer courses at a 2-year and 4-year school as well as mentor undergraduates during a summer robotics programs.

Assistant Professor

Department of Computer Science and Information Technology

University of the District of Columbia

Washington, D.C. 20008

Email:  briana.wellman at


Doctor of Philosophy in Computer Science, Advisor: Monica Anderson

Thesis Title: Cooperation Paradigms for Overcoming Communication Limitations in Multirobot Wide Area Coverage

Graduated: December 2011

The University of Alabama, Tuscaloosa, Alabama