An autonomous cleaning robot includes a controller configured to execute instructions to perform one or more operations. The one or more operations includes operating a drive system to move the cleaning robot in a forward drive direction along a first obstacle surface with a side surface of the cleaning robot facing the first obstacle surface, then operating the drive system to turn the cleaning robot such that the side surface of the cleaning robot faces a second obstacle surface, then operating the drive system to move the cleaning robot in a rearward drive direction along the second obstacle surface, and then operating the drive system to move the cleaning robot in the forward drive direction along the second obstacle surface.

An infrared transceiver unit (107, 108), a detection apparatus, a multi-infrared detection apparatus and an obstacle avoidance robot. The infrared transceiver unit (107, 108) includes a mounting skewed slot, an infrared emitting source (1085), and two groups of infrared receiving sources (1083, 1084), wherein a sensing direction of one group of infrared receiving sources (1084) and an emitting direction of the infrared emitting source (1085) both face one side of a sensing center line (L) of the mounting skewed slot, and the sensing direction of the other group of infrared receiving sources (1083) faces the other side of the sensing center line (L) of the mounting skewed slot, so that one of the infrared receiving sources (1083, 1084) receives infrared modulation light emitted by the infrared emitting source and reflected by an obstacle. Two infrared transceiver units (107, 108) are respectively arranged on a left end and a right end of an obstacle avoidance robot, and the infrared transceiver unit (107, 108) arranged on one end of the robot receives the infrared modulation light emitted by the infrared transceiver unit (107, 108) arranged on the other end, or the infrared modulation light emitted by the infrared transceiver unit (107, 108) arranged on either end and reflected by the obstacle.

A near-infrared organic EL device with favorable efficiency is provided. A light-emitting device including a first electrode, a second electrode, and an EL layer is provided; in which the EL layer is positioned between the first electrode and the second electrode; in which the EL layer emits light having a peak of an emission spectrum in a wavelength range of greater than or equal to 750 nm and less than or equal to 1000 nm; in which one of the first electrode and the second electrode is an electrode having a transmitting property with respect to light with a peak wavelength of the emission spectrum of the EL layer; in which a first layer is provided in contact with a surface of the electrode having a transmitting property, which is opposite to a surface facing the EL layer; in which the first layer contains an organic compound; and in which the first layer has the local maximum value of an extinction coefficient k in the visible light region.

An embodiment of the present invention provides an artificial intelligence (AI) robot for determining a cleaning route using sensor data, comprising: a sensor unit including at least one of an image sensor, a depth sensor or a shock sensor; a cleaning unit including at least one of a suction unit or a mopping unit; a driving unit configured to drive the AI robot; and a processor configured to: acquire the sensor data from the sensor unit, determine a complex area using the acquired sensor data, create a virtual wall for blocking an entry into the determined complex area, determine the cleaning route in consideration of the created virtual wall, and control the cleaning unit and the driving unit based on the determined cleaning route.

An air cleaner disposed in an indoor space is disclosed. The air cleaner according to an embodiment of the present invention includes a blowing device including a suction port and a discharging port, a fan motor configured to cause air flow, a purification unit installed in the blowing device to clean air, a flow conversion configured to change a flow direction of air discharged from the discharging port, a communication unit configured to communicate with a moving agent moving in the indoor space, and a processor configured to receive feature information collected by the moving agent and associated with a structure of the indoor space, obtain a type of the indoor space by using the feature information, and control an operation of at least one of the fan motor and the flow conversion device by using the type of the indoor space to adjust at least one of an operation mode, a wind direction, and a wind volume.

The present invention is a mobile robot with an attached cleaning element and capable of autonomously seeking areas with low overhead clearance. In the preferred embodiment is a mobile robot using an array of upward facing distance sensors in communication with a controller to detect the presence of obstructions or surfaces above the apparatus. The controller directs the movements of the mobile robot through the use of a drive system, using pattern recognition to avoid becoming stuck and using random movements to increase floor coverage.

A surface maintenance machine is provided having a maintenance head assembly positioned substantially within an envelope of the machine. The maintenance head assembly has at least one maintenance tool attachable thereto. The machine also includes a tool eject mechanism positioned below an upper surface of the body. The tool eject mechanism can generate a drop force sufficient to overcome the force between the maintenance tool and the maintenance head assembly. The tool eject mechanism can have an eject button extending above the upper surface of the deck. The eject button can be actuable by at least a portion of the upper surface of the body of the machine when the maintenance head assembly is raised toward the upper surface of the body of the machine beyond a transport position into a tool eject position. When actuated, the tool eject mechanism can eject the maintenance tool from the maintenance head assembly

A patient warming system for stabilizing and/or heating and cooling a patient includes a plurality of solid-surface sections arranged for attachment to a surgical table and a warming pad layer comprising a plurality of warming pads configured for removable connection to the plurality of solid-surface sections. At least one of the plurality of solid-surface sections includes a power connector for connection to an external power source. Each warming pad of the plurality of warming pads includes a foam insulation layer, a distributed heating element layer having a warming-pad power connection for connection to the power connector, an isothermal layer, and a flexible waterproof layer. Power supplied to the warming-pad power connection of the distributed heating element layer of the respective warming pad can be used to provide a user-selected uniform temperature over the surface of the flexible waterproof layer in order to prevent hot spots.

A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.

There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.