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I'm pretty sure Omron has been bringing a table tennis robot to trade shows for at least ten years, and it's pretty good at the game. They mention it in their paper:

> A key point of difference is that our agent learns the control policies and perception system, whereas the Forpheus agent uses a model-based approach. More specifically, Forpheus leverages rebound and aerodynamics models in order to identify the optimal configuration of the robot so as to return the ball to a target position. The Omron system represents a highly engineered system that cannot easily be customized to new players, environments, or paddles

But I think they're stretching a bit to claim that a model-based design can't be easily customized. Many of us would consider it much easier to plug in a new air viscosity or coefficient of restitution value into a model than to re-train a physical robot.






> than to re-train a physical robot

Where we are going the robot retrains itself.




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