As in many other fields, Machine Learning has had a significant impact on Robot-ics. We discuss how Machine Learning has impacted the design and development of software for robots, including areas such as robot vision, locomotion, manipulation and decision making. We also discuss how the performance of these systems can be evaluated objectively. Typically, machine learning algorithms are assessed on standard datasets, but in robotics, it is necessary to have the integrated robot system perform in a replicable environment with clear measurement criteria. This is one of the primary motivations for robotics competitions, such RoboCup, where robots are required to perform tasks all the tasks previously mentioned in arenas defined by a technical committee for the purpose of obtaining measurable performance results.