Abstract: Disclosed are an oxidizing electrode, a water electrolysis device including the same and a method for manufacturing the same. According to exemplary embodiments of the present disclosure, there is provided an oxidizing electrode with improved performance at low loadings of noble metals, especially, ruthenium (Ru) and iridium oxide, in which a ruthenium (Ru) layer and an iridium oxide layer formed on a substrate by electrodeposition in a sequential order are supported by electrochemical reaction rather than physical bonding.

Abstract: The present invention relates to a slip detection apparatus and method for a mobile robot, and more particularly, to a slip detection apparatus and method for a mobile robot, which not only use a plurality of rotation detection sensors to detect a lateral slip angle and lateral slip direction, but also analyze the amount of change in an image and detect the blocked degree of an image input unit to determine the quality of an input image, and detect the occurrence of a frontal slip to precisely detect the type of slip, direction of the slip, and the rotation angle, and, on the basis of the latter, to enable the mobile robot to move away from and avoid slip regions, and to reassume the precise position thereof.

Abstract: The present invention relates to a map generating and updating method for mobile robot position recognition, and more specifically relates to a map generating and updating method for mobile robot position recognition, whereby position recognition error can be minimized by registering landmarks extracted during map generation and landmarks extracted on the basis of the probable error in inferred landmarks, calculating the accuracy of landmarks pre-registered during map generation, and adjusting the level of landmarks of low accuracy or removing landmarks which have been registered erroneously.

Abstract: The present invention relates to a control method for the localization and navigation of a mobile robot and a mobile robot using the same. More specifically, the localization and navigation of a mobile robot are controlled using inertial sensors and images, wherein local direction descriptors are employed, the mobile robot is changed in the driving mode thereof according to the conditions of the mobile robot, and errors in localization may be minimized.

Abstract: The present invention relates to a slip detection apparatus and method for a mobile robot, and more particularly, to a slip detection apparatus and method for a mobile robot, which not only use a plurality of rotation detection sensors to detect a lateral slip angle and lateral slip direction, but also analyze the amount of change in an image and detect the blocked degree of an image input unit to determine the quality of an input image, and detect the occurrence of a frontal slip to precisely detect the type of slip, direction of the slip, and the rotation angle, and, on the basis of the latter, to enable the mobile robot to move away from and avoid slip regions, and to reassume the precise position thereof.

Abstract: The present invention relates to a map generating and updating method for mobile robot position recognition, and more specifically relates to a map generating and updating method for mobile robot position recognition, whereby position recognition error can be minimised by registering landmarks extracted during map generation and landmarks extracted on the basis of the probable error in inferred landmarks, calculating the accuracy of landmarks pre-registered during map generation, and adjusting the level of landmarks of low accuracy or removing landmarks which have been registered erroneously.

Abstract: The present invention relates to a control method for the localization and navigation of a mobile robot and a mobile robot using the same. More specifically, the localization and navigation of a mobile robot are controlled using inertial sensors and images, wherein local direction descriptors are employed, the mobile robot is changed in the driving mode thereof according to the conditions of the mobile robot, and errors in localization may be minimized.