An automatic lawn mower including: a frame body; a movement module; a cutting module; a controller; a plurality of sensors, configured to detect an obstacle in an environment, where the plurality of sensors include: a plurality of first sensors, where the first sensors are arranged around the frame body in a manner in which a detection direction thereof is inclined upward by a first preset angle relative to a horizontal reference plane; and a second sensor, arranged in a manner in which a detection direction thereof is toward a front end of the frame body and is inclined downward by a second preset angle relative to the horizontal reference plane, where poses of first sensors and second sensor are combined, so that a sum of detection ranges of the plurality of sensors covers all angles in a direction parallel to the horizontal reference plane, thereby avoiding the obstacles.

A cleaning robot includes a navigator to move a main body, a remote controller to output a modulated infrared ray in accordance with a control command of a user and to form a light spot, a light receiver to receive the infrared ray from the remote controller, and a controller to control the navigator such that the main body tracks the light spot when the modulated infrared ray is received in accordance with the control command. Because the cleaning robot tracks a position indicated by the remote controller, a user may conveniently move the cleaning robot.

The present disclosure relates to an autonomous mobile device and its control method and apparatus and a storage medium, the control method includes: an obtaining step configured to obtain point cloud data of the autonomous mobile device in a current work environment; a determination step configured to determine whether there exists an obstacle in the work environment based on the point cloud data; a processing step configured to, when it is determined that there exists an obstacle, recognize a type of the obstacle based on the point cloud data, and execute an obstacle avoidance action corresponding to the type of the obstacle. As such, the robustness of the obstacle avoidance action can be increased.

Provided is a method of operating an unmanned mobile vehicle for detecting an indoor environment. The method according to an embodiment of the present disclosure includes obtaining first motion information using a LiDAR sensor provided on the unmanned mobile vehicle, obtaining second motion information using an inertial sensor provided on the unmanned mobile vehicle, performing correction on the first motion information and the second motion information on the basis of error models corresponding to the LiDAR sensor and the inertial sensor, and determining final position information of the unmanned mobile vehicle on the basis of the correction.

A method for determining an ego pose of a mobile system and creating a surfel map of a surrounding area of the mobile system via an optimization problem represented by a factor graph includes the steps of: receiving environment sensor data generated by an environment sensor attached to the mobile system, wherein the environment sensor surveys the surrounding area of mobile system, and wherein the environment sensor data represent the surrounding area of the mobile system as a point cloud; generating surfels by converting the point cloud of the received environment sensor data into surfel data; identifying new surfels and known surfels in the generated surfels by comparing the surfel data with the surfel map; and adding a surfel factor for the known surfels to the factor graph and/or adding a surfel node and a surfel factor for the new surfels to the factor graph.

A system for scanning shipping containers, comprising an unmanned vehicle, the unmanned vehicle includes a sensor, a processor, and a memory. The memory includes instructions for execution. The instructions, when executed by the processor, cause the unmanned vehicle to move along faces of a shipping container, and record container data collected from the sensor while scanning the shipping container.

A device for establishing a communication network and collecting situation information at a site of a collapse disaster is disclosed. The device includes a ground drone 10 deployed at the site of the collapse disaster, the ground drone 10 having a communication device 80 mounted thereon, a flying drone 32 mounted on and carried by the ground drone 10 to fly and photograph the site of the collapse disaster, a camera device 40 mounted on the ground drone 10 to photograph surroundings of the ground drone 10, a storage 50 installed on the ground drone 10, and a plurality of repeater modules 60 connected by the wireless communication network to relay wireless communications between the ground drone 10, the flying drone 32, and a command and control center 100, wherein the storage 50 accommodates the repeater modules 60, and throws the repeater modules 60 in response to an operation signal.

A cleaning robot includes a navigator to move a main body, a remote controller to output a modulated infrared ray in accordance with a control command of a user and to form a light spot, a light receiver to receive the infrared ray from the remote controller, and a controller to control the navigator such that the main body tracks the light spot when the modulated infrared ray is received in accordance with the control command. Because the cleaning robot tracks a position indicated by the remote controller, a user may conveniently move the cleaning robot.

The invention relates to a household robot, in particular an automatically movable cleaning robot for a floor area, having a housing, having running gear which is arranged on the underside of the housing, having a sensor system for detecting the area surrounding the housing and having a control for automatically controlling the running gear, in which the technical problem of preventing soiling by excrement from a living being is solved by providing detection element for detecting a sub-area of the floor area which has been soiled by excrement from a living being and by the control element changing the operating mode of the household robot dependent on an output signal from the detection element. The invention also relates to a method for operating a household robot.

A mobile apparatus includes circuitry to control the mobile apparatus to perform teaching travel and autonomous travel, generate; for each of nodes on a travel route independently for external sensors, calculation information for calculating a deviation between a node passed in the teaching travel and a point passed in the autonomous travel; store in the memory the calculation information in association with the node and the external sensor; calculate, for each node independently for the external sensors, the deviation based on the calculation information and a of the extern sensor value in the autonomous travel; determine, for each node independently for the external sensors, the calculated deviation as a position and posture of the node with reference to the position and posture of the mobile apparatus; integrate the positions and postures of the node determined independently for the external sensors; and control the mobile apparatus to autonomously travel.