A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

An AMU system includes an Autonomous Mobile Unit (“AMU”), base station, lanyard, and Warehouse Management System (“WMS”) configured to communicate with one another over a network. The AMU includes a microphone configured to receive verbal commands from an individual. The individual can further provide verbal commands through the base station and the lanyard when worn by the individual. The lanyard can also provide a geo-fence around the individual where the AMU slows down to enhance safety.

A system for backing a trailer with a vehicle is provided herein and includes a mobile electronic device with which a user inputs an intended backing path for the trailer. A controller autonomously controls the vehicle to back the trailer according to the intended backing path. The controller communicates with a sensing system to determine if the user has lost sight of at least one of the vehicle and the trailer.

A ride-on vehicle is provided that has optional remote control capabilities. The ride-on vehicle comprises front and rear wheels, a steering wheel, a steering motor, a drive motor, an accelerator, a parent override switch and a main controller for controlling the drive motor and the steering motor based on input signals. A remote control is also provided to send signals to the main controller. The main controller provides for three modes of operation of the ride-on vehicle, including a child only drive mode, a partial child and partial remote drive mode, and a full remote drive mode, and wherein the main controller switches between the three modes of operation in real time based on signals received from the remote control and the parent override switch.

Apparatus, method, and software for assisting human operator in flying drone using remote controller. The apparatus includes an internal data communication interface configured to receive data from the remote controller, an augmented reality display configured to display the data, one or more memories including computer program code, and one or more processors to cause the apparatus to: superimpose, on the augmented reality display, a target symbol indicating a position of the drone while the human operator is looking towards the drone; and superimpose, on the augmented reality display, an orientation symbol indicating an orientation of the drone while the human operator is looking towards the drone.

An aircraft control system and control method are disclosed. The system comprises a remote control apparatus with a first control rod and a flight controller associated with an aircraft. The first control rod is configured to move in a first movement direction to control a motion of the aircraft in a first motion direction when an external force is applied on the first control rod and after a withdrawal of the external force, the first control rod returns to a preset position. The remote control apparatus operates to generate one or more control signals corresponding to the withdrawal of the external force. The flight controller controls the aircraft to maintain a flight state based on said control signals and one or more state signals, which are generated based on a measurement of the flight state by a flight controller associated with the aircraft state measurement sensors carried by the aircraft.

A pool cleaning system for cleaning debris from a submerged surface of a swimming pool includes a self-propelled pool cleaner having rotatably-mounted supports for supporting and guiding the cleaner on the pool surface; an electric motor for enabling the rotation of the rotatably-mounted supports on the pool surface; at least one camera to capture imagery of the pool surface; a controller, in electronic communication with the at least one camera, to determine a cleanliness characteristic of the pool surface on which the cleaner has passed based on the camera imagery and generate a control signal to direct movement of the cleaner based on the cleanliness characteristic of the pool surface, and a portable electronic device configured to present a graphic on a display, the graphic depicting the submerged surface of the pool and those portions of the surface that remain uncleaned as the cleaner traverses the pool surface.

A control system for a vehicle using a primary three axis orientation sensor and a reference three axis orientation sensor spaced apart from the primary sensor. At least one auxiliary control can be used for thrust. A wearable processor can be configured to receive the primary sensor signal and the reference sensor signal. The reference sensor signal can use a conditioning formula and the wearable processor can filter the conditioned signals using a Kalman filter. The filtered signals can form merged signals and apply operator configurations on wrist reference locations to the merged signals. Operation commands can use the merged signals to control the vehicle with four channels of control to a transmitter that communicates with the vehicle.

A computing system that can receive an object search request from a user indicating a request to search for a specific object in an area traversed by one or more autonomous vehicle. The object search request can include a set of physical characteristics of the specific object. The computing system can then transmit a signal to an autonomous vehicle indicating a request for the autonomous vehicle to search for the specific object. The signal can cause the autonomous vehicle to transmit an image, selected based on a physical characteristic of the object, to the computing system. The computing system can then generate a score indicative of a difference between one or more physical characteristic of the object in the image and the specific object. The computing system can then selectively transmit the image to a mobile device operated by the user based on the score.

A drone, a method for controlling the flight of a drone, and a program for controlling the flight of a drone capable of preventing the drone from flying into a place where it is difficult for an operator to visually observe the drone and flying the drone within an area in which the operator can visually observe the drone are provided. A control unit of the drone determines whether an illuminance detected by an illuminance sensor satisfies a required illuminance for the drone to fly, and if the detected illuminance does not satisfy the required illuminance, inhibits the drone from flying in the flight direction.