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It is generally accepted in the field of human-robot interaction (HRI) that the role of a human teacher is critical for robot environmental adaptation. As such, the ability of a robot to adapt in a novel environment is based on the capabilities of the human teacher. In this paper, we propose a metric for robots to evaluate the quality of a human teacher. We illustrate a scenario where the Sawyer Robotic Arm must learn to grasp a cup according to the demonstration ofa good and a bad human teacher.

Importance of effective teaching in robot motor skill learning