A method for controlling a utility vehicle includes detecting, via a sensor, an elevation profile of a region located in front of the utility vehicle in the direction of travel. The method also includes initializing a grid comprising a plurality of grid cells. The grid extends at least in a longitudinal direction and in a vertical direction of the region. The method further includes assigning the detected elevation profile to associated grid cells by writing elevation profile data into grid cells and controlling the vehicle based on the elevation profile data.

An electronic device includes a first set of sensors configured to generate motion information. The electronic device also includes a second set of sensors configured to receive information from multiple anchors. The electronic device further includes a processor configured to generate a path to drive the electronic device within an area. The processor is configured to receive the motion information. The processor is configured to generate ranging information based on the information that is received. While the electronic device is driven along the path, the processor is configured to identify a location and heading direction within the area of the electronic device based on the motion information. The processor is configured to modify the estimate of location and the heading direction of the electronic device based on the ranging information. The processor is configured to drive within the area according to the path, based on the location and heading direction.

The present disclosure is directed to a computer system and techniques for automatically annotating objects in map data used for navigating an autonomous vehicle. Generally, the computer system is configured to obtain LiDAR data points for an environment around an autonomous vehicle, project the LiDAR data points onto image data, detect a target object in the image data, extract a subset of the LiDAR data points that corresponds to the detected target object, register the detected target object in map data if the extracted subset of the LiDAR data points satisfies registration criteria, and navigate the autonomous vehicle in the environment according to the map data.

A movement control method, an electronic device, and a computer storage medium are provided. The method includes: acquiring a first polygonal grid map corresponding to a target work region, determining an avoidance subregion non-traversable for the autonomous mobile mowing apparatus in the target work region according to three-dimensional information of each of polygonal planes in a first polygonal grid map and parameters of an autonomous mobile mowing apparatus; deleting a polygonal plane corresponding to the avoidance subregion from the first polygonal grid map to obtain a second polygonal grid map; and controlling the autonomous mobile mowing apparatus to move according to a second polygonal grid map. Based on the method, the region non-traversable for the autonomous mobile mowing apparatus can be avoided, thereby avoiding a danger caused by an abnormal handling behavior triggered by the autonomous mobile mowing apparatus, and improving safety of movement of the autonomous mobile mowing apparatus.

A movement control method, an electronic device, and a computer storage medium are provided. The method includes: acquiring a first polygonal grid map corresponding to a target work region, determining an avoidance subregion non-traversable for the autonomous mobile mowing apparatus in the target work region according to three-dimensional information of each of polygonal planes in a first polygonal grid map and parameters of an autonomous mobile mowing apparatus; deleting a polygonal plane corresponding to the avoidance subregion from the first polygonal grid map to obtain a second polygonal grid map; and controlling the autonomous mobile mowing apparatus to move according to a second polygonal grid map. Based on the method, the region non-traversable for the autonomous mobile mowing apparatus can be avoided, thereby avoiding a danger caused by an abnormal handling behavior triggered by the autonomous mobile mowing apparatus, and improving safety of movement of the autonomous mobile mowing apparatus.

A method of operating a mobile cleaning robot in an environment can include detecting, such as using an optical stream from the mobile cleaning robot, a seasonal object located in the environment. A seasonal cleaning zone can be created based on the detected seasonal object when a current date is within a specified date range. The seasonal cleaning zone can be displayed on a map of the environment.

The present disclosure is related to systems and methods for positioning. The method includes obtaining estimated pose data of a subject. The method also includes generating a local map associated with the estimated pose data. The method also includes obtaining, based on the estimated pose data, a reference map. The method also includes correlating the local map and the reference map in a frequency domain. The method further includes determining, based on the estimated pose data and the correlation between the local map and the reference map in the frequency domain, target pose data of the subject.

Systems and methods for enhancing task performance and computer readable maps produced by robots using modular sensors is disclosed herein. According to at least one non-limiting exemplary embodiment, robots may perform a first set of tasks, wherein coupling one or more modular sensors to the robots may configure a robot to perform a second set of tasks, the second set of tasks includes the first set of tasks and at least one additional task.

Systems and methods for enhancing task performance and computer readable maps produced by robots using modular sensors is disclosed herein. According to at least one non-limiting exemplary embodiment, robots may perform a first set of tasks, wherein coupling one or more modular sensors to the robots may configure a robot to perform a second set of tasks, the second set of tasks includes the first set of tasks and at least one additional task.

An autonomous, mobile robotic device (AMR) is configured with one or more UVC radiation sources, and operates to traverse a path while disinfecting an interior space. Each UVC radiation source is connected to the AMR by an articulating arm that is controlled to orient each source towards a feature or surface that is selected for disinfection during the time that the AMR is moving through the space. The location of each feature selected for disinfection can be mapped, and this map information, a current AMR location and pose can be used to generate signals that are used to control the articulating arm to orient each UVC lamp towards a feature that is selected for disinfection.