Abstract:
The robots can not be trained for all the unforeseen circumstances. How to
act in a new environment? What is the purpose of the new object? Recently,
it has been shown that robots can learn on the go by passively observing the
human behaviour.
What to do when there is no human present in the scene? The robot
is expected to have a big database of observations related to his home. If
the robot has seen the person sitting on a chair, in a classroom, can the
robot predict what is the use of the neighbouring chair? If the person en ters/exits the room, through the door, can the robot predict the remaining
entrances/exits in the same building?
The man made scenes have repeatability. We propose to leverage this
repeatability to transfer observations from one place to another.
