The present disclosure relates to a cleaning robot and a method of controlling the same, and more particularly, to a cleaning robot that changes a moving path by detecting an obstacle through a change in permittivity detected while driving about a cleaning space, and a method of controlling the same. The cleaning robot comprises a main body; a driver configured to move the main body; an obstacle detector including an electrode plate provided on the bottom of the main body and a touch IC configured to detect a change in capacitance detected by the electrode plate and; and a controller configured to determine the obstacle based on a signal transmitted by the obstacle detector, and to control the driver.

A photovoltaic-module cleaning robot, an obstacle-surmounting method and device thereof are provided according to the present application. If the photovoltaic-module cleaning robot gets stuck during obstacle-surmounting, a lower end motor of the photovoltaic-module cleaning robot is controlled to operate reversely, so that the lower driving wheels thereof rotate reversely; an upper end motor of thereof is controlled to stop operating, so that the upper driving wheels thereof have no drive; and then, the photovoltaic-module cleaning robot is gradually restored to a horizontal state, and if it is determined that the photovoltaic-module cleaning robot meets a forward moving condition, the upper end motor and the lower end motor of the photovoltaic-module cleaning robot are controlled to simultaneously rotate forward to realize moving forward, thereby solving the problem of easily getting stuck at a drop height between adjacent modules.

A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

A robot for detecting a dangerous situation using artificial intelligence includes a memory configured to store a voice recognition model for inferring whether a current situation is the dangerous situation from voice data and an image recognition model for inferring whether the current situation is the dangerous situation from image data, and a processor configured to acquire one or more of the voice data or the image data and output a notification indicating the dangerous situation when the dangerous situation is detected from the voice data using the voice recognition model or when the dangerous situation is detected from the image data using the image recognition model.

An intelligent floor cleaner, including a vehicle body, a clean water tank, a control box, a dirty water tank, a floor cleaning apparatus, a manual steering apparatus, an autonomous steering apparatus, a navigation apparatus, and a mileage apparatus, where the clean water tank is located above the vehicle body and is fixedly connected to the vehicle body; the control box is located in a middle location above the vehicle body and is fixedly connected to the vehicle body; the dirty water tank is located at a rear side above the clean water tank and is fixedly connected to the clean water tank; the floor cleaning apparatus is located below the vehicle body; and the navigation apparatus includes a 3D laser and a laser mounting rack, and the navigation apparatus is located above the vehicle body.

A floor treatment machine is disclosed for treating floor surfaces and includes a housing, two drive wheels, at least one support wheel, a drive device, a controller, at least one scan sensor configured to ensure that distance measurements can be carried out in a substantially horizontal plane via a predetermined angular area, and a floor treatment device configured to ensure that the floor can be treated. In at least one embodiment, the controller encompasses a treatment mode, which guarantees a simple and reliable selection of a successful route by way of few driving and storing steps. The boundary of the floor surface is treated as an obstacle. To record the treated surface, starting and end points of route segments, which have been followed, and one of the states “completely treated” or “incompletely treated” for the end points as well as direction information is stored.

A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

A cleaning system may have a trolley bucket assembly, a vacuum recovery tank, and a vacuum motor assembly. The trolley bucket assembly may have a bucket, a wheeled chassis, and a spigot fluidly connected to the bucket. A user may dispense and regulate the flow of cleaning liquid from the bucket through the spigot by manually adjusting the spigot. The tank may hold cleaning liquid and soil, and may have a bottom wall, a vacuum recovery inlet, and a transfer outlet through which cleaning liquid may be transferred to the bucket for reuse. The bottom wall may have an interior surface; and the transfer outlet may have an entry opening through which cleaning liquid from the tank enters the transfer outlet. The entry opening may be positioned above a portion of the interior surface, thereby inhibiting soil that settles on the interior surface portion from passing through the transfer outlet.

A robot cleaner comprising: a cleaner body including a wheel unit for autonomous traveling and a suction unit sucking air containing dust; a sensing unit disposed at one side of the cleaner body; a dust container accommodated in a dust container accommodation part formed at the other side of the cleaner body, the dust container collecting dust filtered from sucked air; and a dust container cover disposed to cover a top surface of the dust container, wherein an upper end of the sensing unit is formed at a position protruding upward from a top surface of the cleaner body and a top surface of the dust container cover.

A control method for carpet drift in robot motion, a chip, and a cleaning robot are disclosed. The control method includes: performing fusion calculation on a current position coordinate of the robot according to data sensed by a sensor every first preset time, calculating amount of drift, relative to a preset direction, of the robot, according to a relative position relationship between a current position and an initial position of the robot, and accumulating to obtain a drift statistical value; and calculating the number of acquisitions of the position coordinate within a second preset time, averaging to obtain a drift average value, determining a state of the robot deviating from the preset direction according to the drift average value, and setting a corresponding Proportion Integration Differentiation (PID) proportionality coefficient to synchronously adjust speeds of left and right drive wheels of the robot while reducing a deviation angle of the robot.