Educational Robot
Educational robots are increasingly used to enhance learning, focusing on collaborative learning, skill acquisition (like handwriting), and fostering parent-child interaction around educational activities. Current research emphasizes developing affordable and adaptable robots, often employing reinforcement learning (like DDQN) and probabilistic models to personalize the learning experience and address challenges like balanced participation in collaborative settings. This field is significant for its potential to improve educational outcomes through scalable, engaging, and personalized learning experiences, particularly in areas where human teachers are scarce or specialized skills are needed.
Papers
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