A electronic device comprising a sensor unit, a memory, and at least one processor that: obtains, by the sensor unit, first sensing data including an image captured at the location; obtains map information on the basis of the first sensing data; combines the first sensing data and the second sensing data to obtain first mapping information and stores same in the memory; obtains second mapping information by removing data corresponding to a pre-configured condition corresponding from the stored first mapping information; identifies spatial information including feature data corresponding to a space included in the map information on the basis of the second mapping information; and controls traveling of the electronic device on the basis of the map information and the spatial information.

A computer-implemented system and method include generating a set of state data using sensor data of a particular sensor modality at a set of locations in a region. Each state data includes a corresponding position estimate of a vehicle. A set of contour ranges is generated. Each contour range is indicative of a respective error range of given state data with respect to corresponding ground truth data for a given location. The region is categorized into at least (i) a first confident level associated with a first error range and (ii) a second confident level associated with a second error range. A first confident zone corresponds to locations associated with the first confident level. A second confident zone corresponds to locations associated with the second confident level. A confident zone map includes at least the first confident zone and the second confident zone.

The invention discloses an unmanned aerial vehicle having multifunctional leg assembly and charging system, including unmanned aerial vehicle and charging station. The UAV includes obstacle avoidance sensors, flight control module, first signal processing module, electric undercarriage and power charge/storage module. The charging station includes power charge/supply module. The obstacle avoidance sensors sense obstacles near the UAV to generate obstacle sensing signals. The first signal processing module interprets and processes the obstacle sensing signals to determine whether there is an obstacle near the UAV, and when the judgment result is yes, an avoidance instruction is transmitted to the flight control module, so that the flight control module drives the UAV to avoid the obstacle. The electric undercarriage includes first leg frame, second leg frame and electric driving mechanism. The electric driving mechanism drives the first leg frame and the second leg frame to fold and unfold alternately. The power charge/storage module includes first positive electrode and first negative electrode. The charging station includes power charge/supply module. The power charge/supply module includes second positive electrode and second negative electrode. When the UAV parks on a platform of the charging station, and the first positive electrode and the first negative electrode are in contact with the second positive electrode and the second negative electrode, then the power charge/supply module charges electricity to the power charge/storage module.

There is provided a method for controlling a plurality of vehicles sharing a set of common resources Each vehicle's motion is controllable by a finite set of predefined commands. The method includes forming subsets of the common resources on the basis of predefined motion constraints of individual ones of the vehicles; partitioning the vehicles into disjoint clusters on the basis of the subsets; executing a tree-based planning algorithm. Each execution including an evaluation of sequences of the predefined commands to be fed to the vehicles in a single cluster and a selection of a preferred sequence of the commands; and feeding the preferred sequence of commands to the vehicles in each cluster.

An escaping method of a cleaning robot includes: when the cleaning robot encounters an obstacle and turns around while performing cleaning along an edge of a first surface medium area, in response to a surface medium change signal from the surface medium sensor indicates that a second surface medium area is detected, searching an established room map to determine whether the second surface medium area exists in the room map; if the second surface medium area exists, determining whether a route bypassing the second surface medium area exists based on the room map and a boundary of the second surface medium area in the room map; if the route exists, controlling the cleaning robot to travel along the route to bypass the second surface medium area; and if the route does not exist, controlling the cleaning robot to return along a cleaned route to bypass the second surface medium area.

A method is provided for managing and tracking scouting tasks to obtain map information using a fleet of autonomous vehicles. For instance, the method includes defining a scouting quest to obtain the map information. The scouting quest includes a plurality of objectives. Each objective is associated with a geographic location from which sensor data is to be captured. The method also includes receiving a first update message from an autonomous vehicle of the fleet. The update message identifies a location of the autonomous vehicle. The method also includes assigning at least one of the objectives to the autonomous vehicle based on the location of the autonomous vehicle. The method also includes sending instructions to the autonomous vehicle in order to cause the autonomous vehicle to complete the at least one objective and after sending, tracking a status of the scouting quest.

An escaping method for a cleaning robot having a surface medium sensor includes detecting a surface medium change signal in response to the robot encountering an obstacle and turning along an edge of a first surface medium area. The robot searches a pre-established room map to determine whether a second surface medium area exists in the map and performs an escaping strategy. If the second surface medium area is present, the robot determines whether a bypass route exists based on the map and the boundary of the second area. The robot travels along the route if it exists, or returns along a cleaned route if it does not. If the second surface medium area is not in the map, the robot scans and stores edge information. The method also includes detecting entry into the second area and retreating if entry occurs.

A navigation method applicable to a robot includes: (a) setting a first position coordinate and first movement information; (b) measuring a plurality of to-be-sensed distances in different directions by using a plurality of distance sensors; (c) inputting the plurality of sensed distances, the first position coordinate, and the first movement information into a neural network model to obtain second movement information; (d) setting the second movement information as the first movement information for a next round of a decision-making process; (e) driving, based on the second movement information, the robot to move from the first position coordinate to a second position coordinate; (f) setting the second position coordinate as the first position coordinate for a next round of the decision-making process; and (g) repeating steps (b) to (f) until a distance between the second position coordinate and a destination coordinate is less than a threshold.

This application discloses a cleaning device control method and a cleaning device. The method comprises: controlling the cleaning device to move to a starting point at which the cleaning device moves along an edge of a target water region; controlling the cleaning device to move along the edge of the target water region from the starting point by at least one round; constructing a target map of the target water region, wherein the target map comprises a map of at least one of a bottom of the target water region or a water surface of the target water region; and performing path planning on the target water region based on the target map and controlling the cleaning device to clean the target water region in a process of moving along a planned path.

This application provides a swimming pool robot, including a robot body, a filter, a control unit, and a moving mechanism. Operating environments of the swimming pool robot at least include a first operating environment and a second operating environment. The moving mechanism at least includes a first moving mechanism configured to drive the swimming pool robot to move in the first operating environment and a second moving mechanism configured to drive the swimming pool robot to move in the second operating environment. The first operating environment is an underwater environment. The second operating environment is a non-underwater environment. The control unit is capable of controlling, based on a current operating environment of the swimming pool robot, a moving mechanism corresponding to the current operating environment of the swimming pool robot to drive the swimming pool robot to move. According to this application, operating efficiency of the robot can be improved.