Disclosed are systems, methods and devices for centralized control of autonomous vehicles. In some embodiments, a system and method allow an autonomous control system on-board an autonomous vehicle to pass control of the autonomous vehicle to an offboard panel of experts upon encountering an anomaly. In some embodiments, a system and method allow a regulatory entity to proactively distribute rules and requirements to autonomous vehicles while operating within a regulated space.

An information processing device (20) includes a route acquisition unit (202) and an automatic driving section determination unit (204). The route acquisition unit (202) acquires route information indicating a moving route of a mobile body. The automatic driving section determination unit (204) acquires adaptation coefficients for a plurality of sections included in the moving route indicated by the route information, with reference to an adaptation coefficient storage unit (206) that stores automatic driving adaptation coefficients set for the respective sections. Further, the automatic driving section determination unit (204) determines the automatic driving sections of the mobile body in the moving route, based on the acquired adaptation coefficients.

Systems and methods are provided for imposing physical actions, by endpoints, based on activities by users. One such method includes imposing a physical actions via a drone, by an endpoint associated with the drone, based on an activity undertaken by a user. The method includes receiving, by a computing device, an activity message including data indicative of an activity of a user and retrieving at least on rule from a data structure based on the data indicative of the activity where the at least one rule includes a physical action for said activity of the user. The method then includes identifying, by the computing device, the physical action from the at least one rule and transmitting, by the computing device, an order for the physical action to an endpoint, whereby the endpoint commands a drone to perform the physical action.

Systems and methods for automatically identifying and ascertaining an estimated amount of damage at a location by utilizing one or more autonomous vehicles, e.g., “drone” devices, to autonomously capture data of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured data and construct a 3-D model of the location.

An aircraft control device and a remote controller aircraft are disclosed. The aircraft control device includes a first channel configured to receive first control information outputted by a remote controller and transmit the first control information to an aircraft; a second channel configured to receive second control information outputted by the remote controller and transmit the second control information to a camera and/or a gimbal; and a switch unit configured to switch that the first control information is received by the second channel and transmitted to the aircraft when the first channel is disturbed or a distance between the remote controller and the aircraft is larger than a distance threshold. The present invention is able to switch the transmission route of the first control information between the first channel and the second channel in accordance with situations of the first channel and the second channel.

An automated aircraft recovery system is disclosed. In various embodiments, the system includes an interface configured to receive sensor data; and a control mechanism configured to: perform automatically a recovery action that is determined based at least in part on the sensor data. In various embodiments, the control mechanism may determine an expected state of an aircraft, determine whether a state of the aircraft matches the expected state, and in the event the state of the aircraft does not match the expected state, perform the recovery action.

Systems and methods for towing, hitching, and connecting devices are described. An autonomous guided vehicle includes an automated hitch capable of connecting to a variety of types of containers.

Aspects include a method, system and computer program product for alleviating an episode of a movement disorder condition for a patient. The method comprises deploying an unmanned aerial vehicle (UAV) to a location of a patient based on an occurrence of an episode of a movement disorder condition. A first gross sensory change stimulus is selected with a processor. The first gross sensory change stimulus is projected from the UAV. An attempt to alleviate the episode of the movement disorder condition is performed based at least in part on the projecting of the first gross sensory change stimulus from the UAV. The alleviating of the episode of the movement disorder condition is detected based on the gross sensory change stimulus from the UAV.

A computer-implemented method of adaptively controlling an autonomous operation of a vehicle is provided. The method includes steps of (a) in a critic network in a computing system configured to autonomously control the vehicle, determining, using samples of passively collected data and a state cost, an estimated average cost, and an approximated cost-to-go function that produces a minimum value for a cost-to-go of the vehicle when applied by an actor network; and (b) in an actor network in the computing system and operatively coupled to the critic network, determining a control input to apply to the vehicle that produces the minimum value for the cost-to-go, wherein the actor network is configured to determine the control input by estimating a noise level using the average cost, a cost-to-go determined from the approximated cost-to-go function, a control dynamics for a current state of the vehicle, and the passively collected data.

The disclosure relates to a moving apparatus for cleaning, a collaborative cleaning system, and a method of controlling the same, the moving apparatus for cleaning including: a cleaner configured to perform cleaning; a traveler configured to move the moving apparatus; a communicator configured to communicate with an external apparatus; and a processor configured to identify an individual cleaning region corresponding to the moving apparatus among a plurality of individual cleaning regions assigned to the moving apparatus and at least one different moving apparatus based on current locations throughout a whole cleaning region, based on information received through the communicator, and control the traveler and the cleaner to travel and clean the identified individual cleaning region. Thus, the individual cleaning regions are assigned based on the location information about the plurality of cleaning robots, and a collaborative clean is efficiently carried out with a total shortened cleaning time.