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Every year, the Robocup@Home competition challenges teams and robots'abilities. In 2020, the RoboCup@Home Education challenge was organized online,altering the usual competition rules. In this paper, we present the latestdevelopments that lead the RoboBreizh team to win the contest. Thesedevelopments include several modules linked to each other allowing the Pepperrobot to understand, act and adapt itself to a local environment. Up-to-dateavailable technologies have been used for navigation and dialogue. Firstcontribution includes combining object detection and pose estimation techniquesto detect user's intention. Second contribution involves using Learning byDemonstrations to easily learn new movements that improve the Pepper robot'sskills. This proposal won the best performance award of the 2020 RoboCup@HomeEducation challenge.

RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach