Robots assisting humans with some specific tasks have been demonstrated on several occasions. A further challenging idea is to anticipate human needs by mining the future demand from the next action prediction. To trigger this anticipation mechanism a robot has to recognize what the human is doing now, foresee what the human will do next, and from their connection guesstimating what to do to help. We propose here a deep network combining the essential components of this challenging process leading to foreseeing the help that can be provided in human-robot collaboration.
Help by Predicting What to Do
Ntouskos V.;
2019-01-01
Abstract
Robots assisting humans with some specific tasks have been demonstrated on several occasions. A further challenging idea is to anticipate human needs by mining the future demand from the next action prediction. To trigger this anticipation mechanism a robot has to recognize what the human is doing now, foresee what the human will do next, and from their connection guesstimating what to do to help. We propose here a deep network combining the essential components of this challenging process leading to foreseeing the help that can be provided in human-robot collaboration.File in questo prodotto:
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