a child is playing the WordQuest game with a Tega robot. WordQuest game is an educational game developed by the Personal Robots Group at MIT Media Lab.
The WordQuest game is a collaborative game similar to the classic game “I Spy” in which a child and a robot take turns identifying objects called out by the quest mission on a touchscreen tablet. The game is implemented in the Unity 3D game engine, which supports flexible updates and changes of learning curriculum. During the game play, the robot may switch its peer role between “learner” and “tutor” roles to best promote children’s learning, based on its assessment on their learning progress. The computational model used to guide the robot’s action is built using Reinforcement Learning.
Citation: Chen, H., Park, H.W., Dong, X., Breazeal, C. (in review). Active Role Adaptation for Social Robot Learning Companion. In proceedings of 2019 IEEE International Conference on Robotics and Automation (ICRA 2019)
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