A mobile robot of the present disclosure includes: a traveling unit configured to move a main body; a cleaning unit configured to perform a cleaning function; a sensing unit configured to sense a surrounding environment; an image acquiring unit configured to acquire an image outside the main body; and a controller configured to generate a distance map indicating distance information from an obstacle for a cleaning area based on information detected and the image through the sensing unit and the image acquiring unit, divide the cleaning area into a plurality of detailed areas according to the distance information of the distance map and control to perform cleaning independently for each of the detailed areas. Therefore, the area division is optimized for the mobile robot traveling in a straight line by dividing the area in a map showing a cleaning area.

A method of controlling a guide machine and a navigation system. The navigation system includes: a plurality of signal sources deployed in a predetermined area; a guide machine including a signal receiver arranged to receive electromagnetic signals emitted from one or more of the plurality of signal sources; and a processor arranged to process the electromagnetic signals to identify the locations of the signal sources, and thereby to determine a current position of the guide machine with reference to the locations of the signal sources; and the processor is further arranged to determine a path for the guide machine to travel from the current position to a destination location in the predetermined area.

An apparatus comprises means for: obtaining a navigation path (2) between two locations (4, 6) which are separated by an obstacle (8), the navigation path (2) comprising an original vertex (10); modifying the navigation path (2) to comprise a displaced vertex (12), the displaced vertex (12) being displaced from the original vertex (10) in a direction away from a part of the obstacle (8) which is nearest to the original vertex (10); and smoothing a section of the navigation path (2) which passes via the displaced vertex (12). The smoothing of the section forms a curved path section (16) in the navigation path (2). The curved path section (16) comes no closer to the obstacle (8) than the original vertex (10).

An automatic travel system for a work vehicle has an automatic travel control unit that causes a work vehicle, which is provided with an obstacle detection unit that detects obstacles, to travel automatically. The obstacle detection unit includes imaging units and active sensors. When the obstacle detection unit detects an obstacle based on information from the imaging units, and the separation distance from the obstacle is acquired based on information from the active sensors, the automatic travel control unit executes a first collision avoidance control for avoiding a collision between the work vehicle and the obstacle, on the basis of the separation distance from the obstacle acquired based on the information from the active sensors.

A retrofit kit for a power machine can include a detection module configured to be removably secured to the power machine to detect objects around the power machine. A control module can be configured to receive detected object data from the detection module and control the display module based on the detected object data to provide one or more indicators of an object detected by the detection module.

An electronic apparatus is disclosed. The electronic apparatus comprises: a first camera having a first image capturing angle; a second camera having a second image capturing angle larger than the first image capturing angle; and a processor which when a portion of a target object is identified and an obstacle object overlapping the other portion of the target object is identified from at least one of a first captured image acquired from the first camera and a second captured image acquired from the second camera, acquires location information of the identified obstacle object, identifies a region of interest in the second captured image on the basis of the acquired location information of the obstacle object, and identifies the other portion of the target object on the basis of the region of interest in the second captured image.

A method for finding at least one trigger for human intervention in a control of a vehicle, the method may include receiving, from a plurality of vehicles, and by an I/O module of a computerized system, visual information acquired during situations that are suspected as situations that require human intervention in the control of at least one of the plurality of vehicles; determining, based at least on the visual information, the at least one trigger for human intervention; and transmitting to one or more of the plurality of vehicles, the at least one trigger.

Provided in the present disclosure are a robot and a control method therefor. The robot includes: a depth camera; a driver; and a processor for acquiring a depth image by performing photographing through the depth camera, generating a plurality of 3D points on a three-dimensional (3D) space corresponding to a plurality of pixels, based on depth information about the plurality of pixels of the depth image, identifying a plurality of 3D points having a preset height value, based on a driving bottom surface of the robot in the 3D space from among the plurality of 3D points, and controlling the driver to move the robot based on the identified plurality of 3D points.

A control device controlling the movement route of a transportation vehicle calculates a movement route to a target position of the transportation vehicle and, in a case where an obstacle exists on the calculated movement route, counts the number of detours indicating the magnitude of an influence of the obstacle on movement route calculation, and calculates the movement route again so as to avoid the obstacle.

An autonomous navigation system may navigate through an environment in which one or more non-solid objects, including gaseous and/or liquid objects, are located. Non-solid objects may be determined, using sensor data, to present an obstacle or interference based on determined chemical composition, size, position, velocity, concentration, etc. of the objects.