| dc.description.abstract | This study proposes a system using a mobile robot for indoor energy-saving and safety navigation functions. The two functions are applied to fulfill the energy-saving function and safety maintenance indoors, such as office, school, and home. For the first function, the depth data and IR data captured from Kinect sensor are used to accomplish the obstacle avoidance and indoor localization of the mobile robot, and skeleton tracking is used to detect human. If there is nobody in the specific region, the center PC will automatically turn off the lights and air-conditions of the region. Furthermore, the center PC updates the state of indoor power supply to the web database and provide it to the users. For the second function, the depth data and sound detection captured from Kinect sensor are used to accomplish intruder detection in the indoor dark environment. When the mobile robot successfully detects the intruder, it will captures the picture of intruder and notice the users. According to a series of experiments, we are satisfied with the results of the two systems. | en_US |