Informationally structuring objects in an everyday environment for robotic assistance of human life

已经提出了一种跟踪日常环境中的对象的方法。在环境中安装最小的传感器，以便不侵犯居民的隐私。基于最小传感器信息和人的行为模型来估计人的行为。从安装在移动的机器人上的地板传感器、智能柜和视觉传感器获得的信息被用来跟踪由居民移动的物体。

An approach to tracking objects in an everyday environment has been proposed. Minimal sensors are installed in the environment in order not to invade privacy of a resident. Human behavior is estimated based on the minimal sensor information and the human behavior model. Information obtained from a floor sensor, an intelligent cabinet and a vision sensor installed on a mobile robot is utilized to track objects moved by the resident.