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.

Navigation system (300) for land, air, marine or submarine vehicle (302), comprising a remote control workstation (301) with Manual control mode (310), Mission Planning mode (330) and tactical control mode (360) initiating command-and-control options; a navigation module (100) retrofittably disposed on the vehicle (302); a plurality of perception sensors (318) disposed on the vehicle (302); the system (300) receives manual, electrical, radio and audio commands of human operator (305) in the manual control (310) and mission planning mode (330) and converts them to dataset for training a navigation model having a navigational algorithm. The perception sensors (318) generate dataset for self-learning in real time in manual control mode (310), mission control mode (330) and tactical control mode (360); the navigational system (300) autonomously navigates with presence of communication network (390) and in absence of communication network (390).

An unmanned vehicle management system according to an aspect includes: a collection unit configured to collect video data acquired by an unmanned vehicle and natural disaster data related to natural disasters from information sources; a storage unit configured to store the video data and the natural disaster data; an analysis unit configured to extract feature amounts of the video data and the natural disaster data, and predict a high-risk area where a risk of natural disaster occurrence is higher than in other areas; a prediction unit configured to compare the video data and the natural disaster data collected during a disaster with the video data and the natural disaster data collected during normal times, and predict a disaster occurrence area where a disaster will occur; and a deployment unit configured to determine deployment of the unmanned vehicle and a rescuer based on the high-risk area and the disaster occurrence area.

A method for predictive fire control, comprising identifying a plurality of wildfire risk points on a power grid, calculating a route for an unmanned aerial vehicle (UAV) to intersect with a maximum number of points as a function of a range of the UAV, controlling the UAV to traverse the route, monitoring one or more sensors for an indication of a wildfire event and controlling the UAV to release a fire retardant on the fire.

A control device according to an aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: control a first flying object and a second flying object in such a way that the first flying object hovers above a first target device, and the second flying object hovers above a second target device; control the first flying object in such a way that the first flying object measure a first distance to the second flying object in response to the first flying object hovering above the first target device and the second flying object hovering above the second target device; and acquire the measured first distance from the first flying object.

A deployable device system including a deployable device, a vehicle, and a control system. The deployable device includes a propulsive element coupled to the deployable device, a motor coupled to the deployable device and the propulsive element and configured to drive the propulsive element to propel the deployable device, and an indicator configured to provide one or more indications to an operator of an approaching vehicle. The vehicle is configured to transport the deployable device to a scene and deploy the deployable device. The control system is configured to control the motor to position the deployable device at a position along a perimeter established proximate the scene, and control the indicator to provide an indication.

When an acceleration equal to or larger than a threshold value is exerted to a vehicle, an unmanned air vehicle takeoff and landing dock unlocks an unmanned air vehicle in a direction opposite to a direction in which the acceleration is exerted. When an acceleration detector of the unmanned air vehicle detects the acceleration equal to or larger than a threshold value, a flight controller of the unmanned air vehicle controls flight of the unmanned air vehicle to cause the unmanned air vehicle to ascend. Further, the unmanned air vehicle starts imaging by an imaging unit and starts transmitting imaging data acquired.

Provided is a robot control method that controls a robot to guide an evacuation route in response to occurrence of an emergency situation. The robot may acquire evacuation route information on a space from a server when an emergency situation occurs in the space, and may move to a first node closest to the robot among nodes defined in the space and a second node indicated by direction information of the first node based on the evacuation route information and a current location of the robot.

An unmanned device for a marine environment comprises a location sensor configured to gather location data corresponding to the unmanned device; at least one propulsion system; a transmitter and memory including computer program code. The computer program code is configured to, when executed, cause the processor to cause the propulsion system to propel the unmanned device in a pattern along the body of water, cause the sonar transducer to emit the one or more sonar beams into the body of water, receive sonar return data corresponding to sonar returns, and generate a sonar image corresponding to the sonar return data. Further, the computer program code is configured to cause the processor to detect an object within the sonar image, assign a score to the object indicating the likelihood that the object is a desired object type, and send an alert to the remote electronics device upon assignment of the score.

A server includes a memory on which a map is stored, wherein the map represents locations of a plurality of mobile units; and a processor, configured to generate an emergency response plan based on sensor data and the map, wherein the emergency response plan comprises actions to be taken by a plurality of robots within a vicinity of the mobile units; and instruct a transceiver to send a signal representing the emergency response plan.