Abstract: A sulfide solid electrolyte for all-solid secondary batteries, a method of preparing the same, and an all-solid secondary battery, the sulfide solid electrolyte including lithium, phosphorus, sulfur, and a halogen, wherein: the sulfide solid electrolyte has an argyrodite-type crystal structure, a ratio (I(29.0)/I(30.0) ratio) of a peak intensity at a 2? of 29±0.1° to a peak intensity at a 2? of 30±0.1° is 0.06 or less, the peak intensities being obtained by X-ray diffraction analysis of the sulfide solid electrolyte, and a ratio (I(27.1)/I(30.0) ratio) of a peak intensity at a 2? of 27.1±0.1° to a peak intensity at a 2? of 30±0.1° is 0.06 or less, the peak intensities being obtained by X-ray diffraction analysis of the sulfide solid electrolyte.

Abstract: A moving robot includes: a sensor to acquire terrain information; a memory to store node data for at least one node; and a controller, and the controller determines whether at least one open movement direction exists among a plurality of movement directions, based on sensing data and the node data, generates a new node in the node data when at least one open movement direction exists, determines any one of the open movement directions as a traveling direction for the robot, determines whether at least one of the nodes needs to be updated exists, based on the node data when the open movement direction does not exist, controls the moving robot to move to one of the nodes that need to be updated, and generates of a map including the at least one node, based on the node data, when the node that needs to be updated does not exist.

Abstract: A cleaning robot includes a top cover, a bottom cover formed below the top cover and configured to move by external force, a fixed body provided in the bottom cover, a first opening formed in an upper portion of the bottom cover and a first sensor connected to the fixed body and externally exposed between the top cover and the bottom cover through the first opening.

Abstract: The present disclosure relates to a method for sensing the depth of an object by considering external light and a device implementing the same, and a method for sensing the depth of an object by considering external light according to an embodiment of the present disclosure comprises the steps of: storing, in a storage unit, first depth information of an object, which is sensed at a first time point by a depth camera unit of a depth sensing module; storing, in the storage unit, second depth information of the object, which is sensed at a second time point by the depth camera unit; comparing, by a sensing data filtering unit of the depth sensing module, the generated first and second depth information to identify a filtering target region from the second depth information; and adjusting, by a control unit of the depth sensing module, the depth value of the region filtered from the second depth information.

Abstract: The present invention relates to a method for positioning on the basis of vision information and a robot implementing the method. The method for positioning on the basis of vision information, according to an embodiment of the present invention, comprises the steps of: generating, by a control unit of a robot, first vision information by using image information of an object sensed by controlling a vision sensing unit of a sensor module of the robot; generating, by the control unit of the robot, a vision-based candidate position by matching the first vision information with second vision information stored in a vision information storage unit of a map storage unit; and generating, by the control unit, the vision-based candidate position as the position information of the robot when there is one vision-based candidate position.

Abstract: A mobile robot of the present disclosure includes: a traveling unit configured to move a main body; a lidar sensor configured to acquire terrain information outside the main body; a camera sensor configured to acquire an image outside the main body; and a controller configured to fuse the image and a detection signal of the lidar sensor to select a front edge for the next movement and set a target location of the next movement at the front edge to perform mapping travelling. Therefore, in a situation where there is no map, the mobile robot can provide an accurate map with a minimum speed change when travelling while drawing the map.

Abstract: The present invention relates to a method for positioning on the basis of vision information and a robot implementing the method. The method for positioning on the basis of vision information, according to an embodiment of the present invention, comprises the steps of: generating, by a control unit of a robot, first vision information by using image information of an object sensed by controlling a vision sensing unit of a sensor module of the robot; generating, by the control unit of the robot, a vision-based candidate position by matching the first vision information with second vision information stored in a vision information storage unit of a map storage unit; and generating, by the control unit, the vision-based candidate position as the position information of the robot when there is one vision-based candidate position.

Abstract: A moving robot includes: a sensor to acquire terrain information; a memory to store node data for at least one node; and a controller, and the controller determines whether at least one open movement direction exists among a plurality of movement directions, based on sensing data and the node data, generates a new node in the node data when at least one open movement direction exists, determines any one of the open movement directions as a traveling direction for the robot, determines whether at least one of the nodes needs to be updated exists, based on the node data when the open movement direction does not exist, controls the moving robot to move to one of the nodes that need to be updated, and generates of a map including the at least one node, based on the node data, when the node that needs to be updated does not exist.

Abstract: A cleaning robot includes a top cover, a bottom cover formed below the top cover and configured to move by external force, a fixed body provided in the bottom cover, a first opening formed in an upper portion of the bottom cover and a first sensor connected to the fixed body and externally exposed between the top cover and the bottom cover through the first opening.

Abstract: A cleaning robot includes a top cover, a bottom cover formed below the top cover and configured to move by external force, a fixed body provided in the bottom cover, a first opening formed in an upper portion of the bottom cover and a first sensor connected to the fixed body and externally exposed between the top cover and the bottom cover through the first opening.

Abstract: The present disclosure relates to a method for sensing the depth of an object by considering external light and a device implementing the same, and a method for sensing the depth of an object by considering external light according to an embodiment of the present disclosure comprises the steps of: storing, in a storage unit, first depth information of an object, which is sensed at a first time point by a depth camera unit of a depth sensing module; storing, in the storage unit, second depth information of the object, which is sensed at a second time point by the depth camera unit; comparing, by a sensing data filtering unit of the depth sensing module, the generated first and second depth information to identify a filtering target region from the second depth information; and adjusting, by a control unit of the depth sensing module, the depth value of the region filtered from the second depth information.

Abstract: A cleaning robot includes a top cover, a bottom cover formed below the top cover and configured to move by external force, a fixed body provided in the bottom cover, a first opening formed in an upper portion of the bottom cover and a first sensor connected to the fixed body and externally exposed between the top cover and the bottom cover through the first opening.