An intelligent robot cleaner setting a travel path based on a video learning includes a travel driver, a suction unit, an image acquisition unit, and a controller. The travel driver moves to an area to be cleaned along the travel path. The suction unit sucks foreign substances on the travel path. The image acquisition unit acquires an image on the travel path. The controller analyzes the image, decides whether an object is present on the travel path, classifies a type of the object, and sets a bypass travel path that avoids the object if the object is an avoidance object.

A method for controlling an autonomous, mobile robot which is designed to navigate independently in a robot deployment area, using sensors and a map. According to one embodiment, the method comprises detecting obstacles and calculating the position of detected obstacles based on measurement data received by the sensors, and controlling the robot to avoid a collision with a detected obstacle, the map comprising map data that represents at least one virtual blocked region which, during the control of the robot, is taken into account in the same way as an actual, detected obstacle.

An obstacle avoidance method for a self-moving robot includes: obtaining and recording, by the self-moving robot, information about an obstacle encountered during traveling, wherein the information about the obstacle includes type information and location information of the obstacle; and receiving, by the self-moving robot, an operation instruction for a specified obstacle, wherein the operation instruction is configured for instructing the self-moving robot, when detecting an obstacle of a same type as the specified obstacle in a region range labeled with the specified obstacle, not to perform an obstacle avoidance operation on the obstacle of the same type.

Provided are a robot cleaner including: a drive part configured to apply a driving force required to drive the robot cleaner; a sensor configured to obtain at least one of information about a travel state of the robot cleaner and information about surroundings of the robot cleaner; and a controller configured to determine at least one reference trajectory on a coordinate system of a cleaning area, and to compensate for a degree to which the robot cleaner is spaced apart from the reference trajectories based on at least one of a position and an direction of the robot cleaner, which are determined based on the at least one information obtained by the sensor, and a method for controlling a travel of the robot cleaner.

The present disclosure provides a self-propelled pathogen detection device in which a place where a pathogen is highly likely to be present in a space such as an inside of a facility is allowed to be configured preferentially to be a target region of detection. The self-propelled pathogen detection device according to the present disclosure comprises a housing; a detection part for detecting a pathogen; a movement mechanism for moving the housing; a position acquirement part for acquiring position information representing a current position of the housing in a space; and a control part which determines a target region in the space on the basis of traffic line information on a person in the space, and controls the movement mechanism to move the housing in the target region on the basis of the position information. The detection part detects the pathogen in the target region.

A robotic cleaner may include a body, one or more driven wheels configured to urge the body across a surface to be cleaned, one or more distance sensors disposed at least partially within the body such that the one or more distance sensors face the surface to be cleaned and a processor. The one or more distance sensors may be configured to output a measure of a detection distance that extends in a direction of the surface to be cleaned. The processor may be configured to determine whether an abnormality has been detected based, at least in part, on the measure of the detection distance and may be configured to determine a first velocity estimate based, at least in part, on the detection of the abnormality.

Provided is a process that includes: obtaining a first version of a map of a workspace; selecting a first undiscovered area of the workspace; in response to selecting the first undiscovered area, causing the robot to move to a position and orientation to sense data in at least part of the first undiscovered area; and obtaining an updated version of the map mapping a larger area of the workspace than the first version.

A method for specifying a cleaning area to a cleaning robot without an in-built map provides a hand-held mobile device capturing a two-dimensional code label arranged on a top of a cleaning robot parked on a charging base, and obtaining a positional relationship between the mobile device and the cleaning robot through the captured image. The cleaning robot is controlled to enter a cleaning mode under the guidance of the mobile device. With captured images, a user can specify an area within the environment for cleaning, and through a touch display screen can control the cleaning robot to go to the specified cleaning area for cleaning. The mobile device and the cleaning robot employing the method are also disclosed.

An autonomous cleaning device, a method of control the autonomous cleaning device, and a storage medium are provided. The device includes a body, and a cleaning assembly, a driving assembly, wheels, a plurality of detection sensors and a controller on the body. The plurality of detection sensors are configured to transmit detection signals and receive reflection data of the detection signals reflected by an obstacle. The controller is configured to obtain reflection data reflected by the obstacle and received by the plurality of detection sensors, determine whether the obstacle has a gap according to the reflection data received by the detection sensors, and in response to the obstacle having the gap, control the autonomous cleaning device to travel, by sending control instructions to driving assembly, according to the reflection data at different time points and basic information of the autonomous cleaning device.

The invention relates to a swimming pool cleaning system comprising a cleaning apparatus to be immersed in the pool, the system further comprising at least one moving image acquisition means secured to a float via a flexible tie.