An electronic device and a control method thereof are provided. The electronic device includes a communication interface, memory storing one or more computer programs, and one or more processors communicatively coupled to the communication interface and the memory. The one or more computer programs include computer-executable instructions that, when executed by the one or more processors, cause the electronic device to obtain a 2-dimensional (2D) map of an indoor space generated based on sensing data, and traveling data obtained by at least one external device, simplify the obtained 2D map, based on the traveling data, and generate a 3-dimensional (3D) map, based on the simplified 2D map.

A method for controlling at least one autonomous mobile robot, wherein the at least one robot is designed to navigate within a functional area on the basis of a map of said functional area, and to perform at least one task autonomously in the functional area. The method involves: receiving a job request which contains instructions for carrying out at least one task in the functional area, automatically dividing the job request into at least two sub-tasks, and automatically determining a sequence in which said sub-tasks are to be processed by the at least one robot, the job request being fully completed once all sub-tasks have been processed.

A control system for arranging a transport of a package to a recipient in a building provided with an elevator system is described, the control system is configured to: determine an access right of a mobile robot carrying the package in response to a receipt of an access request descriptive of requesting an access of the mobile robot to the building; arrange an elevator service to the mobile robot in response to a detection that the mobile robot is provided with the access; and manage a delivery of the package to the recipient in response to a detection that the mobile robot resides in a predefined location with respect to the recipient in the building. A method and a computer program are also provided.

A system and method of a semi-autonomous cleaning apparatus with adjustable cleaning parameters. A floor cleaning system of a semi-autonomous cleaning apparatus adapts the cleaning parameters by way of one or more control systems in order to optimize cleaning performance in the specific context and application of operation. Using sensors, the front or rear sensing modules of the semi-autonomous cleaning apparatus can detect different floor types and adjust the parameters accordingly prior to initiating a cleaning or polishing plan for regular floors and VCT floor finishes. Floor shininess can also be detected by measuring the reflection of a light source (i.e., LED strip) by a camera sensor. Machine learning algorithms can be used to enable floor cleaning or floor polishing.

A positioning method for a ceiling vision robot are provided. The method includes: during a moving process, a ceiling vision robot acquiring a ceiling image in real time; acquiring existing road sign distribution information according to the ceiling image; determining whether to establish a new road sign, according to the existing road sign distribution information, and if so, establishing a new road sign at a acquisition position of the ceiling image, and if not, not establishing the new road sign at the acquisition position of the ceiling image; and monitoring the positioning effectiveness of an existing road sign according to the existing road sign distribution information, and if the positioning of the existing road sign is effective, performing positioning by using pose information corresponding to the existing road sign, and if the positioning of the existing road sign is ineffective, not performing positioning by using the pose information corresponding to the existing road sign. In the method, a ceiling vision robot is used to avoid a situation in which the environment is complex and road signs are thus easily confused; a new road sign is established according to existing road sign distribution information, thereby realizing the uniformly establishment of road signs; and effectiveness detection is performed on an existing-road sign, thereby improving the precision of positioning based on road signs.

A robot device includes: a sensor; a memory storing map information corresponding to a predetermined space and including a plurality of zones; and a processor that identifies a position of user, identifies whether the user is positioned in a first zone among the plurality of zones, based on the identified position of the user and the map information, and based on identifying that the user is positioned in the first zone, identifies a movement path of the robot device based on remaining zones except for the first zone among the plurality of zones.

A robot is described herein comprising high fidelity sensor control (e.g., via joystick or other data rich sensors) for robotic cleaning and navigation strategies. The robot may be sized or dimensioned for maneuvering for cleaning, disinfecting, or otherwise improving a physical environment (e.g., living spaces, office spaces, or the like), especially those having narrow or varied spaces created by obstacles within the physical environment. The cleaning robot as described herein provide solutions for overcoming problems that arise from cleaning target areas or environments that have typically been hard for conventional robots to clean, fit, and/or maneuver within.

Disclosed is a cleaning robot including: a driving unit configured to move the cleaning robot; an obstacle sensor configured to sense an obstacle; and a controller configured to reduce, if a distance between the cleaning robot and the obstacle is shorter than or equal to a reference distance, a driving speed of the cleaning robot so that the driving speed of the cleaning robot is lower than a shock absorbing speed when the cleaning robot contacts the obstacle.

A map-building method for a robot is provided. The method includes: controlling the robot to travel toward a target point; processing the target point according to the exploration point information; and in response to that, the robot arrives at the target point, collecting map-building data of the region to be explored in order to update an environmental spatial map of the robot.

A robot includes a 2D camera, a 1D distance sensor, a driving module configured to move the robot, and at least one processor. The at least one processor is configured to: obtain a 2D image by controlling the 2D camera; calculate relative depths of actual regions indicated by pixels in the 2D image, based on the obtained 2D image; obtain a reference distance to a point to which a laser output from the 1D distance sensor is irradiated; determine a distance from the robot to the object in the 2D image based on the obtained reference distance and a relative depth of a reference point corresponding to the point to which the laser is irradiated among the pixels in the 2D image; and travel based on the determined distance to the object.