A robot, includes: a camera: a driver comprising a plurality of wheels and a suspension for connecting each of the plurality of wheels to a body of the robot; and a processor. The processor is configured to: identify both a movement direction of a moving walkway and a movement speed of the moving walkway based on a plurality of images of the moving walkway received from the camera after the processor identifies that the robot is located in an entrance area of the moving walkway, control the driver so that the robot faces an entering direction corresponding to the identified movement direction; control the suspension connected to at least one of the plurality of wheels so that the robot is tilted at an angle corresponding to the identified movement speed, and control the driver so that the tilted robot moves in the entering direction and enters the moving walkway.

A driving robot includes: a camera including a depth camera; and at least one processor configured to: control the camera to acquire depth data in one or more areas where the driving robot moves, identify, from the acquired depth data, a plurality of scan data sets corresponding to a plurality of predetermined height levels, identify, based on the plurality of scan data sets, a plurality of feature scores corresponding to the plurality of scan data sets, and generate at least one area map corresponding to at least one scan data set among the plurality of scan data sets, wherein a feature score, among the plurality of feature scores, corresponding to the at least one scan data set is greater than or equal to a predetermined critical value.

An operation system performs autonomous operation by using an operation server for an autonomous driving vehicle. The operation server includes a memory unit containing three-dimensional map data. An autonomous driving vehicle connects to the operation server via a wireless network. A vehicle control unit creates a traveling route based on the map data received and, when an elevator of a building is to be used, creates elevator usage information and elevator control information, including the boarding and exiting floors. The elevator is equipped with an elevator control unit that is connected to the operation server to control ascending and descending of an elevator cage. A control unit of the autonomous driving vehicle transmits the elevator usage information and the elevator control information to the elevator control unit. The elevator control unit gives a voice announcement from a voice output unit in the elevator cage.

A method for managing a travel of a mobile robot, performed by a control system, includes: receiving data indicative of a state of the at least one transfer floor; receiving a service request; setting, in response to a detection that the state of the at least one transfer floor does not correspond to a reference state, another floor as a new transfer floor; generating a control signal to request an allowance of the elevators to travel to the new transfer floor; and generating a control signal comprising data at least indicative of a travel path of the mobile robot in the elevator utilizing the new transfer floor. Also, a control system, a computer program and a computer-readable medium are provided.

A control system that is configured to control a system including a mobile robot configured to autonomously move and a plurality of cameras installed in a facility includes one or more processors. The one or more processors are configured to execute a decision process of deciding a camera to be used with at least one of a predetermined usage condition and a predetermined usage load from among the cameras in accordance with a scheduled traveling route of the mobile robot.

A travel map creating apparatus includes a position sensor obtaining the positional relationship of an adjacent object relative to the apparatus; a floor map creator creating a floor map based on the positional relationship; a self-position calculator calculating the self-position on the floor map; a marker identifier identifying a marker; a marker position calculator calculating the relative position of the marker to the apparatus; a mode switcher switching the mode of the apparatus between a floor map creation mode and a marker identification mode; a restricted access information generator, based on the floor map, the self-position, and the relative position of the marker, defining a boundary of a restricted area to which the entry of an autonomous mobile robot is prohibited and generating restricted access information including the boundary; and a travel map creator creating a travel map including the defined restricted area based on the restricted access information.

An autonomous mobile robot is provided, which includes a robot body, a distance sensor, and a processing circuitry. The distance sensor is mounted on the robot body, and configured to capture current spatial data of an enclosed indoor space. The processing circuitry is coupled to the distance sensor, and configured to identify multiple current anchor nodes from the current spatial data through feature extraction, and determine the current location of the robot body within the enclosed indoor space through multilateration based on the current anchor nodes.

An entrance security management apparatus for a self-driving robot is provided. The entrance security management apparatus includes a robot that autonomously drives along a path, an entrance security terminal placed at an entrance door in a building and controlling opening and closing of the entrance door, a robot control server checking a current location of the robot and an entrance door matched to the current location and transmitting an opening request for the entrance door, and an entrance security terminal management server generating an opening code for the entrance door upon receiving the opening request and transmitting an opening command for the entrance door to the entrance security terminal based on the generated opening code.

A method and systems for navigating a drone within a building utilizing existing a building's security camera system and network infrastructure is disclosed. During navigation, the drone is detected by the security system and/or network infrastructure to allow for real-time positioning of the drone. The system predicts movements of dynamic objects and issues corrective commands to steer the drone towards a point of destination.