An autonomous distributed coordination system is provided which is intended to be used for a broad-area search in an unknown environment without the need for a prior plan and map sharing. It includes: a sensor input processing section 302 for acquiring (i) relative position information relative to another mobile body, (ii) path information in past and (iii) surrounding shape information; other mobile body avoidance module 310 for generating, based on the relative position information, a first action candidate for avoiding the another mobile body; a past path avoidance module 311 for generating, based on the path information, a second action candidate for avoiding the path information in the past; an obstruct avoidance module 312 for generating, based on the depth information, a third action candidate for avoiding a surrounding obstruct; and an integration module 313 for determining a velocity or angular velocity of the mobile body based on the first action candidate, the second action candidate and the third action candidate.

A system for dispatching and navigating an unmanned aerial vehicle (UAV) to a target location comprises a UAV and a navigation module comprising a processor and a memory storing a 3D map comprising the target location and machine-readable instructions such that, when executed by the navigation module processor, cause the processor to perform a method comprising identifying a location of the UAV with respect to the 3D map, receiving a target location input, identifying the target location with respect to the 3D map, generating at least one potential route connecting the location of the UAV and the target location, assigning to at least one potential route an evaluation score according to at least one route assessment criterion, selecting the potential route having the highest evaluation score as a preferred route, and transmitting the preferred route to the UAV.

A threat response system including one or more UAVs for protecting a vehicle of an owner. The one or more UAVs may be located in a docking station within a trunk of the vehicle. The threat response system may launch the one or more UAVs in response to detecting an intruder in a vicinity of the vehicle. The threat response system may further classify an occurring event by analyzing data received from the one or more UAVs with a machine learning system trained on data in an event database, with the event database storing one or more predicted events each corresponding to an event where the vehicle is vandalized, broken into, and/or stolen by the intruder. The threat response system may further select one or more UAV response operations from a response plan database to address the occurring event based on the classification of the occurring event.

This disclosure introduces methods and devices for robotic police officer assistance, incorporating an articulating spotlight, removable camera, spike strip delivery, and chemical agent dispenser, aiming to enhance officer safety during common police activities by allowing remote operation and minimizing the need for officers to be physically present in dangerous situations. Presented herein are methods and devices for robotic police officer assistance. The device comprises an articulating spotlight, a removeable camera, a spike strip delivery mechanism, and a chemical agent dispenser. The robot is controlled by a police officer so that the actions of the robot can be controlled from a position that is safe for the officer. By directing the robotic device, it is not necessary for an officer to be placed in in a dangerous position to conduct some of the most common police activities. When an officer is not required to put their personal safety on the line during common police activities, serious injury to police officers can be avoided. Also disclosed herein are methods of using the robotic device during police activities or emergencies that would otherwise require an officer to be put in harm's way.

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.

Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.

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.

Cellular devices such as smartphones, smart watches, tablets, phones that are not smart and any form of devices that use cellular communications can be located using cellular triangulation. Current commercial cellular communication devices provide accurate information within a range of 10 or more meters. Also, sometimes due to improper coverage of an area by a commercial cellular network, the location information would be bad to zero. Also in some emergency situations, cellular towers may be destroyed or malfunction or cannot be used. In case of emergency situations, if emergency personnel use drones enabled with cellular technology from a close range using triangulation, this can provide highly accurate location information of the victims and can also help communicate with the victim and help them out of danger in a safe manner.

Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.

A mobile object control system, an information processing method, and a mobile object. The mobile object control system includes one or more mobile objects, an information processing apparatus communicable with the one or more mobile objects, and control the one or more mobile objects. The information processing apparatus includes first circuitry configured to store area information including past event occurrence history information of an area to be searched and weather information regarding the area, determine a designated area to search based on the area information and the weather information, and control the movement of at least one of the one or more mobile objects based on the designated area. The one or more mobile objects include second circuitry configured to detect an occurrence of an event while moving in the designated area, and send a notification in case that detecting the occurrence of the event.