An extraction unit of a mobile terminal extracts a plurality of feature points from within a shooting range of a camera, based on shooting results of the camera provided on AR glasses. A determination unit determines a boundary between a first region corresponding to an inside of a vehicle cabin and a second region corresponding to an outside of the vehicle cabin within the shooting range of the camera based on discontinuity of movement vectors of the feature points when a vehicle moves. A specifying unit specifies a position of the AR glasses based on a determination result by the determination unit.

Apparatuses for operating a remotely operated vehicle (ROV) over a communications network that includes at least one sparse datalink that hampers remotely controlling the ROV in real time or near real time. In some embodiments, remote operation of the ROV is enabled by locating a local awareness/autonomy edge-processing node on the ROV side of the sparse datalink(s) and configuring the local awareness/autonomy edge-processing node to provide the ROV with local control based on remote supervisory commands received over the sparse datalink(s). In some embodiments, the local awareness/autonomy edge-processing node maintains situational awareness information regarding the environment local to the ROV that autonomy algorithms on the local awareness/autonomy edge-processing node use in controlling the ROV to perform one or more tasks within the need for real time or near real time remote control. Related methods, software, and systems are also disclosed.

An information processing device that can hierarchically divide and manage a three-dimensional space includes: a storage unit configured to store unique identifiers allocated to a plurality of first spatial subareas with a first size in a three-dimensional space and unique identifiers allocated to a plurality of second spatial subareas with a second size smaller than the first size in the first spatial subareas; and a control unit configured to store spatial information on internal states of the plurality of first spatial subareas and the plurality of second spatial subareas in the storage unit in association with the corresponding unique identifiers.

A mobile printing robot prints layouts or other construction information on a construction surface. A line printing pathway optimization method performs at least one optimization of a listing of lines to be printed. In some examples, the line printing pathway optimization includes at least one of line sorting, line orientation, line cropping, and line splitting.

In a control system comprising, a control unit configured to issue a control instruction to at least one autonomous movable apparatus, and a conversion information holding unit configured to convert spatial information including information on a type of an object that is present in a space defined by latitude, longitude, and height and information on time into a format in association with a first unique identifier and hold the spatial information are provided, and the first unique identifier is stored so that information on a second unique identifier that is different from the first unique identifier and is associated with the first unique identifier can be referred to.

Disclosed are a method for dividing a robot area based on boundaries, a chip and a robot. The method includes: setting, when the robot travels along the boundaries in a preset boundary direction in an indoor working area, a reference division boundary line according to data scanned by a laser sensor of the robot in real time; and identifying, after the robot finishes traveling along the boundaries in the preset boundary direction, a door at a position of the reference division boundary line according to image characteristic information of the position of the reference division boundary line acquired by a camera of the robot, and marking the reference division boundary line on a laser map, so as to divide the indoor working area into different room subareas by means of the door.

The present disclosure provides an information processing device including an acquisition unit, a processing unit and an output unit.

A method for global localization of a mobile robot is disclosed. The method compares a histogram value, obtained by quantifying geometric and structural features of each query submap image divided from a global map image, with geometric and structural features of submap images stored in a database to select a submap image which is the most similar to a query submap image, and performs the global localization of the mobile robot, based on coordinate information included in the selected submap image.

An uncrewed aerial vehicle (UAV) may be configured to hover above a particular charging pad within a portion of a cluster of charging pads for UAVs. The cluster may include the charging pads arranged in a layout and fiducial markers distributed at positions across the layout. While hovering above the particular charging pad, the UAV may capture an aerial image of the portion of the cluster. The UAV may derive cluster-portion observation data from the image, the cluster-portion observation data including information indicating a position of the particular charging pad, and positions of one or more fiducial markers within the portion of the cluster relative to the particular charging pad. The UAV may send the cluster-portion observation data to a computing system in an infrastructure support network for UAVs, and thereafter receive, from the computing system, location information indicating that UAV's geolocation is a geolocation of the particular charging pad.

An electronic device is provided. The electronic device includes a communication interface and one or more processors configured to receive operation information of each of a plurality of robot devices through the communication interface, identify at least one first robot device from among the plurality of robot devices as a target device based on a plurality of pieces of operation information, control at least one robot device so that the at least one robot device from among the remaining robot devices monitors the target device, based on monitoring data being received from the at least one robot device that monitors the target device, identify whether an operation of the target device according to the operation is safe based on the monitoring data, and transmit a command for controlling the target device to the target device based on a result of the identification.