We present a data-driven control architecture for modifying the kinematics of robots and artificial avatars to encode specific information such as the presence or not of an emotion in the movements of an avatar or robot driven by a human operator. We validate our approach on an experimental dataset obtained during the reach-to-grasp phase of a pick-and-place task.

翻译：我们提出了一种数据驱动控制架构，用于修改机器人与虚拟化身运动学，以编码特定信息，例如在人类操作者驱动的化身或机器人动作中表达是否存在某种情感。我们通过在抓取-放置任务中伸手抓握阶段获得的实验数据集验证了该方法。