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 latest developments that lead the RoboBreizh team to win the contest. These developments include several modules linked to each other allowing the Pepper robot to understand, act and adapt itself to a local environment. Up-to-date available technologies have been used for navigation and dialogue. First contribution includes combining object detection and pose estimation techniques to detect user's intention. Second contribution involves using Learning by Demonstrations to easily learn new movements that improve the Pepper robot's skills. This proposal won the best performance award of the 2020 RoboCup@Home Education challenge.

翻译：每年,Robocup@Home的竞争挑战团队和机器人的能力。2020年,RoboCup@Home教育挑战在网上组织,改变了通常的竞争规则。在本文件中,我们介绍了导致RoboBreizh团队赢得比赛的最新动态。这些动态包括几个相互连接的模块,使Pepper机器人能够理解、行动并适应当地环境。最新的现有技术被用于导航和对话。第一个贡献包括将物体探测和显示估计技术结合起来,以发现用户的意图。第二个贡献是利用示范项目学习,方便地学习提高Pepper机器人技能的新运动。这个提议获得了2020 RoboCup@Home教育挑战的最佳业绩奖。