Abstract: Embodiments provide a plurality of personalized, user selectable styles. Each style is determined by a combination of dimensions. Each style, except the default balanced style, prioritizes one of the dimensions over the other cleaning dimensions. In one embodiment, the styles are cleaning styles and the cleaning dimensions are cleaning time, coverage and obstacle avoidance. The cleaning styles are gentle, fast, thorough and balanced. The gentle style protects expensive furniture, with obstacle avoidance prioritized over cleaning time and coverage. The fast style cleans quickly, prioritizing cleaning time over coverage and obstacle avoidance. The thorough style prioritizes coverage over cleaning time and obstacle avoidance. The balanced style prioritizes all three cleaning dimensions substantially the same. The prioritization is achieved through adjustments to the autonomous robot navigation. User selection of a style can be achieved directly or automatically based on various mechanisms, such as user history.

Abstract: Embodiments provide a plurality of personalized, user selectable styles. Each style is determined by a combination of dimensions. Each style, except the default balanced style, prioritizes one of the dimensions over the other cleaning dimensions. In one embodiment, the styles are cleaning styles and the cleaning dimensions are cleaning time, coverage and obstacle avoidance. The cleaning styles are gentle, fast, thorough and balanced. The gentle style protects expensive furniture, with obstacle avoidance prioritized over cleaning time and coverage. The fast style cleans quickly, prioritizing cleaning time over coverage and obstacle avoidance. The thorough style prioritizes coverage over cleaning time and obstacle avoidance. The balanced style prioritizes all three cleaning dimensions substantially the same. The prioritization is achieved through adjustments to the autonomous robot navigation. User selection of a style can be achieved directly or automatically based on various mechanisms, such as user history.

Abstract: Embodiments provide a plurality of personalized, user selectable styles. Each style is determined by a combination of dimensions. Each style, except the default balanced style, prioritizes one of the dimensions over the other cleaning dimensions. In one embodiment, the styles are cleaning styles and the cleaning dimensions are cleaning time, coverage and obstacle avoidance. The cleaning styles are gentle, fast, thorough and balanced. The gentle style protects expensive furniture, with obstacle avoidance prioritized over cleaning time and coverage. The fast style cleans quickly, prioritizing cleaning time over coverage and obstacle avoidance. The thorough style prioritizes coverage over cleaning time and obstacle avoidance. The balanced style prioritizes all three cleaning dimensions substantially the same. The prioritization is achieved through adjustments to the autonomous robot navigation. User selection of a style can be achieved directly or automatically based on various mechanisms, such as user history.

Abstract: Embodiments provide a plurality of personalized, user selectable styles. Each style is determined by a combination of dimensions. Each style, except the default balanced style, prioritizes one of the dimensions over the other cleaning dimensions. In one embodiment, the styles are cleaning styles and the cleaning dimensions are cleaning time, coverage and obstacle avoidance. The cleaning styles are gentle, fast, thorough and balanced. The gentle style protects expensive furniture, with obstacle avoidance prioritized over cleaning time and coverage. The fast style cleans quickly, prioritizing cleaning time over coverage and obstacle avoidance. The thorough style prioritizes coverage over cleaning time and obstacle avoidance. The balanced style prioritizes all three cleaning dimensions substantially the same. The prioritization is achieved through adjustments to the autonomous robot navigation. User selection of a style can be achieved directly or automatically based on various mechanisms, such as user history.

Abstract: An affective model device and a method of deciding the behavior of an affective model device are provided. The affective model device has affective components representing trait, attitude, mood, emotion, and the like. The affective model device updates the emotion at regular time intervals or when a stimulus is received, and decides the behavior based on the updated emotion. The emotion may be updated depending on trait, attitude, and mood.

Abstract: An affective model device and a method of deciding the behavior of an affective model device are provided. The affective model device has affective components representing trait, attitude, mood, emotion, and the like. The affective model device updates the emotion at regular time intervals or when a stimulus is received, and decides the behavior based on the updated emotion. The emotion may be updated depending on trait, attitude, and mood.

Abstract: An affective model device and a method of deciding the behavior of an affective model device are provided. The affective model device has affective components representing trait, attitude, mood, emotion, and the like. The affective model device updates the emotion at regular time intervals or when a stimulus is received, and decides the behavior based on the updated emotion. The emotion may be updated depending on trait, attitude, and mood.