An industrial sweeper operates by rolling along a floor to be cleaned, pushed or pulled, including: a brush with a horizontal axis depending on the use position of the industrial sweeper on a horizontal floor, a collecting pan for collecting dirt swept by the brush, the collecting pan mounted and able to pivot between a closed and working position and a wide open position allowing the pan to be emptied, a suction turbine downstream of the collecting pan suctioning dust into the collecting pan when in closed position, two wheels for resting on the floor, an air filter, an unclogging mechanism for unclogging the air filter. The air filter is fixed on the collecting pan and the unclogging mechanism includes an end stop to block travel of the collecting pan in its wide open position, the end stop causing a shock at the end of the collecting pan opening movement.

A robot cleaner according to an embodiment of the present disclosure includes: a light receiving sensor configured to measure a brightness of a floor surface; an illumination part configured to irradiate the floor surface with light; a rotation device connected to the illumination part and configured to adjust a rotational angle of the illumination part; an capturing part configured to capture an image of the floor surface; a memory part that stores the image of the floor surface captured by the capturing part; a driving part including an electric motor and wheels; a vacuum suction part configured to perform a vacuum suction by being supplied with power from the electric motor; and a control part. The control part determines an operation in a capturing mode in the capturing mode and a cleaning mode when a value input from the light receiving sensor is determined to be equal to or lower than a predetermined value.

A mobile robot that includes a control system, a task execution system and a drive system, the control system configured to monitor the task execution system and drive system, wherein the control system comprises an error detection unit, the error detection unit configured to detect a first error in the task execution system and a second error in the drive system, and further configured to determine that a third error has occurred if it detects the first error and the second error at the same time.

A mobile robot that includes a control system, a task execution system and a drive system, the control system configured to monitor the task execution system and drive system, wherein the control system comprises an error detection unit, the error detection unit configured to detect a first error in the task execution system and a second error in the drive system, and further configured to determine that a third error has occurred if it detects the first error and the second error at the same time.

An artificial intelligence (AI) mobile robot and a method of controlling the same for learning an obstacle are configured to capture an image while traveling through an image acquirer, to store a plurality of captured image data, to determine an obstacle from image data, to set a response motion corresponding to the obstacle, and to operate the set response motion depending on the obstacle, and thus, the obstacle is recognized through the captured image data, the obstacle is easily determined by repeatedly learning an image, and the obstacle is determined before the obstacle is detected or from a time point of detecting the obstacle to perform an operation of a response motion, and even if the same detection signal is input when a plurality of different obstacles is detected, the obstacle is determined through the image and different operations are performed depending on the obstacle to respond to various obstacles, and accordingly, the obstacle is effectively avoided and an operation is performed depending on a type of the obstacle.

An artificial intelligence (AI) cleaner according to an embodiment of the present invention may include a memory, a movement detect sensor, a driving unit configured to allow the AI cleaner to be moved, and a processor configured to control the movement sensor to sense a movement of the AI cleaner by a user and acquire a position to which the AI cleaner has moved while the AI cleaner operates at a first cleaning mode and control the driving unit to allow the AI cleaner to clean a priority cleaning area corresponding to the position at a second cleaning mode.

An optical beacon may include a housing, an optical emitter at least partially disposed within the housing, and an optical identifier generator optically coupled to the optical emitter. Light incident on the optical identifier generator may be shaped into at least one optical identifier. The optical identifier may be associated with an action capable of being carried out by a robotic cleaner such that detection of the optical identifier by the robotic cleaner causes the robotic cleaner to carry out the action.

Provided is a robot cleaner including a main body including a suction portion disposed thereon, main wheels for moving the main body, a side brush assembly disposed on the main body and rotating with a rotation shaft perpendicular to a rotation shaft of the main wheels, wherein the side brush assembly includes a housing for forming an exterior of the side brush assembly, a first force transmitter disposed in the housing and rotating by receiving a driving force, a second force transmitter in contact with the first force transmitter to rotate together when the first force transmitter is rotated, and a side brush coupled to the second force transmitter to rotate at the same rotation angle as the second force transmitter.

A robotic cleaning system may include a robotic cleaner having a robotic cleaner dust cup and a docking station having a docking station dust cup configured to fluidly couple to the robotic cleaner dust cup. The docking station dust cup may include a first debris collection chamber, a second debris collection chamber fluidly coupled to the first debris collection chamber, and a filter fluidly coupled to the first debris collection chamber and the second debris collection chamber.

A floor processing device has a floor processing element, a detection device for detecting a surface parameter of the floor surface, and a data processing device. The data processing device has a data memory, which stores a recommended use belonging to a surface parameter of the floor surface for using a specific floor processing element. The data processing device retrieves the recommended use from the data memory and transmits it to a user via an interface. The data processing device compares the size of a first surface area that has a first surface parameter with the size of the remaining surface areas of the environment, which have a surface parameter that deviates from the first surface parameter, and retrieves the recommended use from the data memory corresponding to the surface parameter that corresponds to the largest surface portion from the entirety of the surface areas.