An autonomous cleaning robot includes a controller configured to execute instructions to perform one or more operations. The one or more operations includes operating a drive system to move the cleaning robot in a forward drive direction along a first obstacle surface with a side surface of the cleaning robot facing the first obstacle surface, then operating the drive system to turn the cleaning robot such that the side surface of the cleaning robot faces a second obstacle surface, then operating the drive system to move the cleaning robot in a rearward drive direction along the second obstacle surface, and then operating the drive system to move the cleaning robot in the forward drive direction along the second obstacle surface.

A method according to the disclosure configures a processor to predict metal loss in a structure for remediation. The method uses a machine learning model, trained based upon historical data, to predict metal loss over locations of a structure at a time of the prediction. The method identifies from among the predicted locations a high-risk location on the structure in which a magnitude of metal loss indicates potential remediation being needed, dispatches a robotic vehicle to the high-risk location on the structure and inspects the high-risk location using the robotic vehicle to confirm whether the magnitude of metal loss at the location requires remediation. In further methods, remediation is performed. In still further methods, a three-dimensional visualization of the structure is generated with an overlay which depicts predicted metal loss over the sections of the structure.

Systems and methods for determining a location of a robot are provided. A method includes receiving, by a processor, a signal from a deformable sensor including data with respect to a deformation region in a deformable membrane of the deformable sensor resulting from contact with a first object. The data associated with contact with the first object is compared, by the processor, to details associated with contact with the first object to information associated with a plurality of objects stored in a database. The first object is identified, by the processor, as a first identified object of the plurality of objects stored in the database. The first identified object is an object of the plurality of objects stored in the database that is most similar to the first object. The location of the robot is determined, by the processor, based on a location of the first identified object.

Disclosed is a mobile robot configured to cut lawn in a work area. The mobile robot may include a main body, a weight sensing sensor, an obstacle sensing sensor, a blade, and a processor. The mobile robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and perform communication with other electronic devices in a 5G communication environment. As a result, it is possible to enhance user convenience.

The present invention is a mobile robot with an attached cleaning element and capable of autonomously seeking areas with low overhead clearance. In the preferred embodiment is a mobile robot using an array of upward facing distance sensors in communication with a controller to detect the presence of obstructions or surfaces above the apparatus. The controller directs the movements of the mobile robot through the use of a drive system, using pattern recognition to avoid becoming stuck and using random movements to increase floor coverage.

A method for bypassing impassable objects by a robot through the use of artificial intelligence. A reliable and low-cost bypassing of obstacles taking account of data privacy aspects is achieved in that in the event of a collision of the robot with an obstacle, an optical original recording of the obstacle is produced, artificial duplicates being generated from the original recording, the duplicates being used to train the artificial intelligence. A system has a robot and an IT infrastructure configured to execute the method.

A control device capable of improving the position accuracy of map data is disclosed. The control device is configured to acquire information which is output from a working machine which includes a working part and works along a boundary between a working area and a non-working area. The control device includes an operating state acquisition part configured to acquire information indicating an operating state of a machine body of the working machine; a judgment part configured to determine the operating state of the machine body, based on information acquired by the operating state acquisition part; a position information acquisition part configured to acquire position information indicating a position of the machine body; and a storage control part configured to store the position information acquired by the position information acquisition part in the storage, based on a determination result of the judgment part.

Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.

Disclosed are a moving robot and a control method thereof, and the moving robot performs cleaning by moving based on a map and is able to determine, based on a global localization function, the current position on the map no matter where the moving robot is positioned, so that the moving robot is capable of recognizing the current position on the map, and, even when the position of the moving robot is arbitrarily changed, the moving robot is able to recognize the position thereof again and move to an exact designated area, so that the moving robot is capable of perform designated cleaning and move rapidly and accurately, thereby performing cleaning efficiently.

A parking support apparatus is provided with: a vehicle controller configured to park a vehicle by controlling behavior of the vehicle in accordance with the signal associated with the remote operation if a distance between a transmitter located outside of the vehicle and the vehicle is greater than or equal to a first distance and is less than or equal to a second distance. The vehicle controller performs a predetermined informing operation for an operator of the transmitter, instead of or in addition to controlling the behavior of the vehicle in accordance with the signal associated with the remote operation, if the distance is greater than or equal to the first distance and is less than or equal to a third distance or if the distance is greater than or equal to a fourth distance and is less than or equal to the second distance.