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 / Alati, E.; Mauro, L.; Ntouskos, V.; Pirri, F.. - (2019), pp. 1930-1934. (Intervento presentato al convegno 26th IEEE International Conference on Image Processing, ICIP 2019 tenutosi a Taipei; Taiwan) [10.1109/ICIP.2019.8803155].
Help by Predicting What to Do
Alati E.
;Mauro L.
;Ntouskos V.
;Pirri F.
2019
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 | Dimensione | Formato | |
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