ARetrospectiveontheRobotAirHockey Challenge: BenchmarkingRobust, Reliable,andSafeLearning TechniquesforReal-worldRobotics

Machine learning methods have a groundbreaking impact in many application domains, but their application on real robotic platforms is still limited. Despite the many challenges associated with combining machine learning technology with robotics, robot learning remains one of the most promising directions for enhancing thecapabilities ofrobots.