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Fast-Moving Robots Learn to Adapt to New Situations

Going one-on-one with real table tennis players is no easy task, but these AI-equipped robots might one day be up to the task. Self-learning robots adapt to new situations and study how to best tackle complex challenges.

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A Humanoid Table Tennis Robot to Read the Movements of Humans

2018 Disruptive Challenger, Kazutoshi Tanaka

    I want to create a robot that provides human security, secures human safety, supports human work, does housework, and can play with humans. In addition to the robotic technology estimating the intention of the human and predicting their next move, it also allows the human to estimate and predict the intentions and movements of the robot. For this reason, the challenge is to develop a humanoid table tennis robot that can read and interpret human movement based on interpersonal sports competitions in which humans read each other's actions. Here, the mechanical system and the control system that perform sports motion, the recognition system that predicts human motion, and the action system that makes humans predict movement are studied and integrated.
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