A method of providing trajectory planning for the driverless transfer of a vehicle within a closed area is proposed. In the method, an external data processing system performs trajectory planning for travelling a predetermined route from a starting point to a destination point within the closed area without a driver. Trajectory planning is based on data transmitted from components of a vehicle-external infrastructure to the external data processing system, including object data and at least one exact pose of the vehicle at predetermined points in time. The planned trajectory is then transmitted to the vehicle for execution.

A mobile cleaning robot configured to clean an environment. The mobile cleaning robot can include a body and a drivetrain operable to move the body within the environment. The robot can include a sensor connected to the body and configured to generate a sensor signal based on interactions between the mobile cleaning robot and the environment. The robot can include an image capture device connected to the body and configured to generate an image stream based on an optical field of view of the image capture device. The robot can include a controller connected to the body and configured to determine whether the mobile cleaning robot is in a stasis condition based on the image stream and the sensor signal. The controller can also update a map of the environment based on the stasis determination.

A method and computing apparatus are disclosed for allowing a tidying robot to organize objects into non-standard categories that match a user's needs. The tidying robot navigates an environment using cameras to map the type, size, and location of toys, clothing, obstacles, furniture, structural elements, and other objects. The robot comprises a neural network to determine the type, size, and location of objects based on input from a sensing system. An augmented reality view allows user interaction to refine and customize areas within the environment to be tidied, object categories, object home locations, and operational task rules controlling robot operations.

A conveyance object is configured to be coupled to an autonomous vehicle and conveyed by the autonomous vehicle to move. The conveyance object includes a bottom plate; a coupling provided on a lower surface of the bottom plate and configured to be coupled to the autonomous vehicle; a pair of guide frames provided on the lower surface and configured to guide the autonomous vehicle so as to move to a position of the coupling from a predetermined direction; and a pair of brackets provided to extend downward from the lower surface between the pair of guide frames and disposed on both sides of the coupling in the predetermined direction, each of the brackets being provided with a marking that faces the predetermined direction and that is recognizable by the autonomous vehicle.

An intelligent mobile device and a control method therefore are described. The method includes: acquiring, when the intelligent mobile apparatus is trap, first ground medium attribute information of a trapping region, where the first ground medium attribute information includes ground medium attribute information of the trapping region; and controlling, if the first ground medium attribute information matches target ground medium attribute information, the intelligent mobile apparatus to leave the trapping region and re-enter the trapping region in a direction different from a direction in which the intelligent mobile apparatus enters the trapping region.

A cleaner system includes: a cleaner; and a cleaner station which collects and removes dust discharged from a dust bin of the cleaner. The cleaner includes a first cleaner which performs manually a cleaning operation by a user, and a second cleaner which performs the cleaning operation while autonomously driving. The cleaner station includes: a housing which has one side coupled to the cleaner and has an inner space where the dust is collected; and a display unit which is disposed on the housing and outputs position information including a moving path of each of the first cleaner and the second cleaner transmitted from the first cleaner and the second cleaner by wireless communication during a cleaning operation.

A robot device includes: a sensor; a memory storing map information corresponding to a predetermined space and including a plurality of zones; and a processor that identifies a position of user, identifies whether the user is positioned in a first zone among the plurality of zones, based on the identified position of the user and the map information, and based on identifying that the user is positioned in the first zone, identifies a movement path of the robot device based on remaining zones except for the first zone among the plurality of zones.

An individual access element to a room in a household can be brought into an open state and into a closed state. A method for recognizing an individual state of the access element includes the steps of determining a position at which an individual access element is located in the household, non-contact scanning the individual access element while it is in a predetermined state, storing information regarding the individual access element on the basis of its scan and state, capturing a further non-contact scan of the individual access element in the household, and recognizing a state of the individual access element on the basis of the further non-contact scan and the stored and predetermined information. A floor robot and a system having a floor robot, are also provided.

The present disclosure relates to an autonomous mobile device and its control method and apparatus and a storage medium, the control method includes: an obtaining step configured to obtain point cloud data of the autonomous mobile device in a current work environment; a determination step configured to determine whether there exists an obstacle in the work environment based on the point cloud data; a processing step configured to, when it is determined that there exists an obstacle, recognize a type of the obstacle based on the point cloud data, and execute an obstacle avoidance action corresponding to the type of the obstacle. As such, the robustness of the obstacle avoidance action can be increased.

The present application discloses a robot task execution method, apparatus, robot and storage medium. The method comprises: acquiring a training trajectory and an environment map in a training mode; generating a target region for tasks to be performed by a robot based on the environment map and the training trajectory, wherein the target region is a maximum envelope region in which the robot can complete tasks autonomously; controlling the robot to traverse the target region until the robot completes the tasks to be performed. By adopting the above technical solution, the robot can perform tasks stably and efficiently in various environmental regions, thereby being able to be applied to various application scenarios.