A system comprises a GNSS sensor onboard an aerial vehicle; a monitor warning system (MWS) that determines whether the vehicle is in a GNSS denied environment; and a flight management system that includes a landing guidance module, and a database having location coordinates of landing sites. Onboard vision sensors and a radar velocity system (RVS) communicate with the guidance module. When the MWS determines that the vehicle is in a GNSS denied environment, the guidance module calculates an optimal flight path by receiving image data from the vision sensors; receiving position, velocity and altitude data from the RVS; receiving location coordinates of a landing site; processing the image data, and the position, velocity and altitude data, to determine a location of the vehicle and provide 3D imaging of a route to the landing site; and calculating a flight path angle to the landing site, using vehicle and landing site coordinates.

A system comprises a GNSS sensor onboard an aerial vehicle; a monitor warning system (MWS) that determines whether the vehicle is in a GNSS denied environment; and a flight management system that includes a landing guidance module, and a database having location coordinates of landing sites. Onboard vision sensors and a radar velocity system (RVS) communicate with the guidance module. When the MWS determines that the vehicle is in a GNSS denied environment, the guidance module calculates an optimal flight path by receiving image data from the vision sensors; receiving position, velocity and altitude data from the RVS; receiving location coordinates of a landing site; processing the image data, and the position, velocity and altitude data, to determine a location of the vehicle and provide 3D imaging of a route to the landing site; and calculating a flight path angle to the landing site, using vehicle and landing site coordinates.

A transport apparatus and method for a cleaning robot of a photovoltaic module. The photovoltaic module comprises a plurality of solar panels and a support part (102a). The transport apparatus comprises: a mobile unit (101), an adjustment unit (102), and a loading platform (103). The mobile unit (101) is configured to move according to a first moving trajectory, and carry and automatically transport the adjustment unit (102), the loading platform (103), and a cleaning robot to a parking position corresponding to the photovoltaic module. The adjustment unit (102) is mounted above the mobile unit (101), and is configured to adjust the height and inclination angle of the loading platform (103) at the parking position to align the loading platform (103) with the photovoltaic module. The loading platform (103) is arranged above the adjustment unit (102), and is configured to carry the cleaning robot. When the mobile unit (101) moves to the parking position, and the loading platform (103) is aligned with the photovoltaic module, the cleaning robot can move from the loading platform (103) to the photovoltaic module.

A transport apparatus and method for a cleaning robot of a photovoltaic module. The photovoltaic module comprises a plurality of solar panels and a support part (102a). The transport apparatus comprises: a mobile unit (101), an adjustment unit (102), and a loading platform (103). The mobile unit (101) is configured to move according to a first moving trajectory, and carry and automatically transport the adjustment unit (102), the loading platform (103), and a cleaning robot to a parking position corresponding to the photovoltaic module. The adjustment unit (102) is mounted above the mobile unit (101), and is configured to adjust the height and inclination angle of the loading platform (103) at the parking position to align the loading platform (103) with the photovoltaic module. The loading platform (103) is arranged above the adjustment unit (102), and is configured to carry the cleaning robot. When the mobile unit (101) moves to the parking position, and the loading platform (103) is aligned with the photovoltaic module, the cleaning robot can move from the loading platform (103) to the photovoltaic module.

An apparatus for localizing a robot having robustness to a dynamic environment includes a map building unit which builds a map based on SLAM; a localizing unit which acquires first feature from sensor data acquired by a sensor mounted in a robot and localizes the robot using the first feature acquired from the sensor data based on the map built by the map building unit; and a map updating unit which reduces an error caused by the movement of the robot by correcting the first feature using an estimated position of the robot with regard to a feature obtained from a static object, among the first features acquired by the localizing unit.

The apparatus for detecting and removing a dynamic obstacle of a robot and the operating method thereof according to a predetermined exemplary embodiment detect and remove the dynamic obstacle while simultaneously performing the mapping and the localizing using the simultaneous localization and mapping (SLAM) technique to efficiently detect and remove a dynamic obstacle even in a situation in which a dynamic change of surrounding environment is severe and an environment to be localized is large.

An apparatus and a method for editing 3D SLAM data according to an exemplary embodiment of the present disclosure directly edits a key frame or an edge of simultaneous localization and mapping (SLAM) data by the user's manipulation, optimizes a pose graph of the 3D SLAM data based on the key frame and the edge edited by the user's manipulation, and generates a 2D grid map corresponding to the 3D SLAM data based on the updated 3D SLAM data to improve the convenience of the user for editing the 3D SLAM data.

Disclosed are a method and apparatus for detecting a near-field object, a medium and an electronic device. In the present disclosure, the characteristics of an automatic exposure apparatus before and after light supplement of a light supplement lamp are used, two images are shot in the same direction before and after light supplement of the light supplement lamp, and whether the near-field object exists is determined through comparison of the two images. Without adding additional apparatuses, the task of discovering the near-field objects by a self-walking device is completed by using the existing apparatus, and the collision between the self-walking device and the near-field object is avoided.

Provided is a robot device and a method of controlling same. The robot device includes: at least one memory storing at least one instruction; a sensor configured to detect an environment of the robot device and output detection data; and at least one processor configured to execute the at least one instruction to: acquire a map of a space where the robot device is positioned based on the detection data received from the sensor, and a reliability value of each of a plurality of areas of the map, store the map and the reliability value of each of the plurality of areas in the at least one memory, identify at least one area having a reliability value greater than or equal to a critical value, based on the reliability value of each of the plurality of areas, and identify a movement path of the robot device in the space, based on the at least one area.

A method creates an environment map of a surrounding region for the operation of a mobile, self-moving appliance, in particular a floor cleaning appliance such as a vacuum cleaning and/or sweeping and/or mopping robot. The method includes: detecting the region around the appliance with at least one first sensor, to create a first horizontal plane of the environment map; detecting the region around the appliance with at least one second sensor, to create a second horizontal plane of the environment map, which is different from the first horizontal plane; and planning a movement path of the appliance based on the first and second planes of the environment map, in order in particular to achieve the maximum floor processing possible in the surrounding region.