Deep execution monitor for robot assistive tasks

@inproceedings{Mauro2018DeepEM,
  title={Deep execution monitor for robot assistive tasks},
  author={Lorenzo Mauro and Edoardo Alati and Marta Sanzari and Valsamis Ntouskos and Gianluca Massimiani and Fiora Pirri},
  booktitle={ECCV Workshops},
  year={2018}
}
We consider a novel approach to high-level robot task execution for a robot assistive task. In this work we explore the problem of learning to predict the next subtask by introducing a deep model for both sequencing goals and for visually evaluating the state of a task. We show that deep learning for monitoring robot tasks execution very well supports the interconnection between task-level planning and robot operations. These solutions can also cope with the natural non-determinism of the… CONTINUE READING
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