An agricultural work assistance system includes a display to display a map representing an agricultural field, and a controller configured or programmed to define or function as an area setter to set a first area and a second area located inward of the first area in the map displayed by the display, and a route creator to create, in at least one of the first area or the second area, a travel route along which an agricultural machine is to travel. The route creator is configured or programmed to set at least a portion of the travel route as an automatic steering route on which the agricultural machine is to be automatically steered and a travel speed of the agricultural machine is to be changed manually.

A robotic working apparatus includes: a working robot configured to perform work while autonomously traveling in a set working area; and a controller configured to control motion of the working robot and including a working area setting section configured to partition and set the working area. The working area setting section sets an individual enclosed area overlapping with an existing working area.

A method using a system and a system having at least one autonomous vehicle, with the autonomous vehicle having at least one drive, at least one brake, and at least one steering, with the vehicle having a navigation system, with the navigation system having a first radio receiver for a global navigation satellite system and a second radio receiver for a global navigation satellite system, with the first radio receiver and the second radio receiver being arranged at a predefined spacing on the vehicle, with the navigation system having a control and evaluation unit to which the first radio receiver and the second radio receiver are connected, with the control and evaluation unit having two independent processor units, with the control and evaluation unit being configured to evaluate the position data of the first radio receiver and the position data of the second radio receiver using both processor units and to compare them with one another, and with the control and evaluation unit being configured to generate checked position data on a valid agreement of the position data.

The apparatus for detecting and removing a dynamic obstacle of a robot and the operating method thereof according to a predetermined exemplary embodiment detect and remove the dynamic obstacle while simultaneously performing the mapping and the localizing using the simultaneous localization and mapping (SLAM) technique to efficiently detect and remove a dynamic obstacle even in a situation in which a dynamic change of surrounding environment is severe and an environment to be localized is large.

An apparatus and a method for editing 3D SLAM data according to an exemplary embodiment of the present disclosure directly edits a key frame or an edge of simultaneous localization and mapping (SLAM) data by the user's manipulation, optimizes a pose graph of the 3D SLAM data based on the key frame and the edge edited by the user's manipulation, and generates a 2D grid map corresponding to the 3D SLAM data based on the updated 3D SLAM data to improve the convenience of the user for editing the 3D SLAM data.

An obstacle detection device for a cleaning robot is described, including: an action component, provided on an outer side of a main body of the cleaning robot an elastic component movably connected to the action component, so that the action component is able to move relative to the elastic component, and the elastic component is able to generate deformation during movement of the action component a detection component, mounted on the elastic component and configured to sense the deformation of the elastic component to generate a strain signal; and a controller, configured to control a movement state of the cleaning robot according to the strain signal.

A cleaning system and a cleaning method are provided. The cleaning system includes a main body, an air suctioning device, a light source, an optical sensor, a memory and a processing unit. The air suctioning device includes an air flow passage and a fan-motor assembly that is disposed in the air flow passage and generates a suction force to suction outside air through the air flow passage. The light source emit light to the air flow passage. The optical sensor captures a plurality of successive image frames from the air flow passage. The processing unit is configured to: obtain first and second image frames from the successive image frames; compare the first image frame with the second image frame to identify dust particles; obtain a particle feature of the dust particles; and determine a current cleanness condition according to the particle feature.

A self-moving device, including: a moving module, a task execution module, a control module. The control module is electrically connected to the moving module and the task execution module, controls the moving module to actuate the self-moving device to move, controls the task execution module to execute a working task. The self-moving device further includes a satellite navigation apparatus, electrically connected to the control module and configured to receive a satellite signal and output current location information of the self-moving device. The control module determines whether quality of location information output by the satellite navigation apparatus at a current location satisfies a preset condition, controls, if the quality does not satisfy the preset condition, the moving module to actuate the self-moving device to change a moving manner, to enable quality of location information output by the satellite navigation apparatus at a location after the movement to satisfy the preset condition.

Disclosed are a method and apparatus for detecting a near-field object, a medium and an electronic device. In the present disclosure, the characteristics of an automatic exposure apparatus before and after light supplement of a light supplement lamp are used, two images are shot in the same direction before and after light supplement of the light supplement lamp, and whether the near-field object exists is determined through comparison of the two images. Without adding additional apparatuses, the task of discovering the near-field objects by a self-walking device is completed by using the existing apparatus, and the collision between the self-walking device and the near-field object is avoided.

A vehicle includes a sensor configured to provide sensor data indicative of an environment outside the vehicle; a transceiver configured to communicate with a server; and a controller configured to, responsive to the sensor data indicative of a predefined trigger event, send a request for remote guidance to the server, receive an instruction from the server indicative of a first trajectory having a first priority and a second trajectory having a second priority, and perform a driving maneuver to implement one of the first trajectory or the second trajectory.