Abstract: The present disclosure includes: a power supply unit which generates an operating power supply voltage from a plurality of batteries; a power connection switching unit which performs connection or disconnection of the power supply unit to or from each of the batteries; a plurality of voltage detection units which detect output voltages output from the respective batteries; a detection connection switching unit which performs connection or disconnection of each of the batteries to or from each of the voltage detection units; and a battery controller which controls the power connection switching unit and the detection connection switching unit based on information input from the voltage detection units, wherein the battery controller selects, as a main battery, one of the plurality of batteries based on the output voltages, selects remaining batteries as an auxiliary battery, and connects the auxiliary battery to the voltage detection units for a first time period, and periodically repeats disconnection for a s

Abstract: Performing map construction under a crowded environment where there are a lot of people. It includes a successive image acquisition unit that obtains images that are taken while a robot is moving, a local feature quantity extraction unit that extracts a quantity at each feature point from the images, a feature quantity matching unit that performs matching among the quantities in the input images, where quantities are extracted by the extraction unit, an invariant feature quantity calculation unit that calculates an average of the matched quantities among a predetermined number of images by the matching unit as an invariant feature quantity, a distance information acquisition unit that calculates distance information corresponding to each invariant feature quantity based on a position of the robot at times when the images are obtained, and a map generation unit that generates a local metrical map as a hybrid map.

Abstract: Performing map construction under a crowded environment where there are a lot of people. It includes a successive image acquisition unit that obtains images that are taken while a robot is moving, a local feature quantity extraction unit that extracts a quantity at each feature point from the images, a feature quantity matching unit that performs matching among the quantities in the input images, where quantities are extracted by the extraction unit, an invariant feature quantity calculation unit that calculates an average of the matched quantities among a predetermined number of images by the matching unit as an invariant feature quantity, a distance information acquisition unit that calculates distance information corresponding to each invariant feature quantity based on a position of the robot at times when the images are obtained, and a map generation unit that generates a local metrical map as a hybrid map.