An electronic apparatus is disclosed. The electronic apparatus includes a communication interface including circuitry, a sensor, a memory stored with data including a plurality of movement patterns at a normal operation of a robot device, and at least one processor electrically coupled with the memory, and the at least one processor is configured to obtain a movement pattern of the robot device based on at least one from among a signal strength received from the robot device through the communication interface or sensing data of the sensor, and identify an operating state of the robot device according to the obtained movement patterned based on the data as a normal operation or an abnormal operation.

An automated vehicle comprising: a control unit configured to control movement of the automated vehicle to a location adjacent an estimated location of a drill hole; a scanning portion including one or more scanning devices configured to scan an area of terrain in the vicinity of the estimated location of the drill hole in order to determine an actual location of the drill hole, and to generate a point cloud representing at least a portion of the interior of the drill hole; at least one arm associated with the scanning portion, the at least one arm configured to move the scanning portion between a home position and one or more scanning positions; and an end effector associated with the at least one arm, the end effector being configured to perform one or more operations;
wherein, upon generating the point cloud, the at least one arm is configured, based on the point cloud, to position the end effector in substantial alignment with the drill hole so that the end effector can perform the one or more operations.

A disinfection robot system, includes: a light disinfection unit having first UVC lamps exposed to the outside to perform disinfection through emission of ultraviolet light; a plurality of air suction and disinfection units each having a second UVC lamp, an air suction pipe adapted to locate the second UVC lamp therein and configured to prevent the ultraviolet light emitted from the second UVC lamp from being exposed to the outside, a plurality of photocatalyst-coated means disposed inside the air suction pipe to produce hydroxyl groups through the ultraviolet light emitted from the second UVC lamp, and a fan for sucking air to the interior of the air suction pipe; a sensing unit having a human presence sensor and a distance sensor; and a control unit for controlling the light disinfection unit and the air suction and disinfection units according to the information detected by the sensing unit.

An escaping method of a cleaning robot includes: when the cleaning robot encounters an obstacle and turns around while performing cleaning along an edge of a first surface medium area, in response to a surface medium change signal from the surface medium sensor indicates that a second surface medium area is detected, searching an established room map to determine whether the second surface medium area exists in the room map; if the second surface medium area exists, determining whether a route bypassing the second surface medium area exists based on the room map and a boundary of the second surface medium area in the room map; if the route exists, controlling the cleaning robot to travel along the route to bypass the second surface medium area; and if the route does not exist, controlling the cleaning robot to return along a cleaned route to bypass the second surface medium area.

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 self-contained, high precision navigation method and system for a mobile vehicle includes an active coherent imaging sensor array with multiple receivers that observes the surrounding environment and a digital processing component that processes the received signals to form interferometric images and determine the precise three-dimensional location and three-dimensional orientation of the vehicle within that environment. A mesh navigation system for a network of mobile vehicles is provided where each mobile vehicle hosts an active coherent imaging sensor that observes a common area in the environment that surrounds the network of mobile vehicles. The navigation system on each mobile vehicle receives signals from the other mobile vehicles reflected from the common area in the environment. These signals are processed onboard each mobile vehicle to form interferometric images and determine the precise three-dimensional location of each mobile vehicle relative to the others operating and moving within the network.

A method for controlling an electronic apparatus, includes: identifying whether an emergency context is occurred by obtaining a sound near the electronic apparatus; based on identifying that the emergency context is occurred, obtaining information relating to a location where a sound relating to the emergency context is generated based on information relating to the obtained sound; based on the information relating to the location, determining a first area corresponding to the location where the sound relating to the emergency context is generated; controlling a driver to move to the determined first area; obtaining information relating to the emergency context from the first area; based on context information and user history information, determining a second area corresponding to the location of the user; controlling the driver to move to the determined second area; and providing the information relating to the emergency context to the user in the second area.

A method of training a machine learning, ML algorithm to control a watercraft is described. The watercraft is a submarine or a submersible submerged in water. The method is implemented, at least in part, by a computer, comprising a processor and a memory, aboard the watercraft. The method comprises: obtaining training data including respective sets of sensor signals, related to respective deterrents, and corresponding actions of a set of communicatively isolated watercraft, including a first watercraft; and training the ML algorithm comprising determining relationships between the respective sets of sensor signals and the corresponding actions of the watercraft of the set thereof. A method of controlling a watercraft by a trained ML algorithm is also described.

An automated vehicle comprising: a control unit configured to control movement of the automated vehicle to a location adjacent an estimated location of a drill hole; a scanning portion including one or more scanning devices configured to scan an area of terrain in the vicinity of the estimated location of the drill hole in order to determine an actual location of the drill hole, and to generate a point cloud representing at least a portion of the interior of the drill hole; at least one arm associated with the scanning portion, the at least one arm configured to move the scanning portion between a home position and one or more scanning positions; and an end effector associated with the at least one arm, the end effector being configured to perform one or more operations;
wherein, upon generating the point cloud, the at least one arm is configured, based on the point cloud, to position the end effector in substantial alignment with the drill hole so that the end effector can perform the one or more operations.

An action control device includes a sound acquirer, an actuator, and a controller. In response to the controller determining, during an action of the actuator, that a sound acquired by the sound acquirer is a human voice, the controller controls so as to stop the actuator, capture sound after the determination for a predetermined period, and in response to the predetermined period having elapsed, restart the action of the actuator.