Applying Learning-from-observation to household service robots: three common-sense formulation

Understand

Utilizing a robot in a new application requires the robot to be programmed at each time.

• To reduce such programmings efforts, we have been developing ``Learning-from-observation (LfO)'' that automatically generates robot programs by observing human demonstrations.
• One of the main issues with introducing this LfO system into the domain of household tasks is the cluttered environments, which cause difficulty in determining which elements are important for task execution when observing demonstrations.
• To overcome this issue, it is necessary for the system to have common sense shared with the human demonstrator.