 Anyone who has participated in a group activity may have noticed that it can be more efficient to have members specialized in one portion of the project. NSF-supported researchers at the University of Massachusetts Amherst have created a learning-based approach for scheduling robots called Learning for Voluntary Waiting and Subteaming, or LBWS. In manufacturing, a team of robots can be less expensive because it maximizes the capability of each robot.