The method can include: determining sensor information with an aircraft sensor suite: based on the sensor information, determining a flight command using a set of models: validating the flight command S130; and facilitating execution of a validated flight command. The method can optionally include generating a trained model. However, the method S100 can additionally or alternatively include any other suitable elements. The method can function to facilitate aircraft control based on autonomously generated flight commands. The method can additionally or alternatively function to achieve human-in-the-loop autonomous aircraft control, and/or can function to generate a trained neural network based on validation of autonomously generated aircraft flight commands.

An automatic lawn mower including: a frame body; a movement module; a cutting module; a controller; a plurality of sensors, configured to detect an obstacle in an environment, where the plurality of sensors include: a plurality of first sensors, where the first sensors are arranged around the frame body in a manner in which a detection direction thereof is inclined upward by a first preset angle relative to a horizontal reference plane; and a second sensor, arranged in a manner in which a detection direction thereof is toward a front end of the frame body and is inclined downward by a second preset angle relative to the horizontal reference plane, where poses of first sensors and second sensor are combined, so that a sum of detection ranges of the plurality of sensors covers all angles in a direction parallel to the horizontal reference plane, thereby avoiding the obstacles.

A return method or device for an unmanned aerial vehicle (UAV), a UAV and a storage medium are provided. The method includes: detecting whether a sensor for obstacle avoidance fails; if the sensor fails, determining a return path of the UAV based on a first return strategy; if the sensor operates normally, determining the return path of the UAV based on a second return strategy; the first return strategy includes controlling the UAV to fly to a return altitude; the second return strategy includes determining the return path of the UAV based on detection data from the sensor. The combination of these two return strategies can achieve a balance between the return efficiency and safety of the UAV.

A cleaning robot includes a navigator to move a main body, a remote controller to output a modulated infrared ray in accordance with a control command of a user and to form a light spot, a light receiver to receive the infrared ray from the remote controller, and a controller to control the navigator such that the main body tracks the light spot when the modulated infrared ray is received in accordance with the control command. Because the cleaning robot tracks a position indicated by the remote controller, a user may conveniently move the cleaning robot.

Included is a method for operating Internet of Things (IoT) smart devices within an environment, including: connecting at least one IoT smart device with an application executed on a smartphone, wherein the IoT smart devices comprise at least a robotic cleaning device and a docking station of the robotic cleaning device; generating a map of an environment with the robotic cleaning device; displaying the map with the application; and receiving user inputs with the application, wherein the user inputs specify at least: a command to turn on or turn off a first IoT smart device; a command for the robotic cleaning device to clean the environment; and a command for the robotic cleaning device to clean a particular room within the environment.

An automatic traveling method includes causing a work vehicle to automatically travel along a target route in a work field, and executing a correction operation of correcting a deviation using a shift amount of the work vehicle generated in the past correction operation when the deviation including at least a positional deviation or an azimuth deviation of the work vehicle with respect to the target route exceeds a threshold.

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 moving body capable of autonomously traveling and having a function of leading a first vehicle that travels while following the moving body, the moving body comprises a first sensor that detects an obstacle; and a controller configured to execute sensing of a region around the first vehicle by the first sensor before the moving body starts leading the first vehicle.

Apparatuses for operating a remotely operated vehicle (ROV) over a communications network that includes at least one sparse datalink that hampers remotely controlling the ROV in real time or near real time. In some embodiments, remote operation of the ROV is enabled by locating a local awareness/autonomy edge-processing node on the ROV side of the sparse datalink(s) and configuring the local awareness/autonomy edge-processing node to provide the ROV with local control based on remote supervisory commands received over the sparse datalink(s). In some embodiments, the local awareness/autonomy edge-processing node maintains situational awareness information regarding the environment local to the ROV that autonomy algorithms on the local awareness/autonomy edge-processing node use in controlling the ROV to perform one or more tasks within the need for real time or near real time remote control. Related methods, software, and systems are also disclosed.

The present invention relates to an obstacle avoidance restaurant serving robot with adaptive positioning and an adaptive positioning method, and more specifically, to a restaurant serving robot capable of obstacle avoidance and adaptive positioning to provide efficient and unhindered service to users, and an adaptive positioning method.