The present disclosure relates to the technical field of intelligent home, and provides a cleaning robot escape method, a cleaning robot escape device, a computer-readable storage medium, and an electronic apparatus. The cleaning robot escape method includes: detecting, when the cleaning robot encounters an obstacle while cleaning along an edge of a first surface medium region and turns around, a second surface medium region in response to a surface medium change signal from the surface medium sensor, and determining whether a path allowing the cleaning robot to bypass the second surface medium region exists; controlling, if the path exists, the cleaning robot to travel along the path to avoid the second surface medium region; and ignoring, if the path does not exist, the surface medium change signal from the surface medium sensor, and controlling the cleaning robot to turn around and return along an original path.

An escaping method of a cleaning robot includes: when the cleaning robot encounters an obstacle and turns around while performing cleaning along an edge of a first surface medium area, in response to a surface medium change signal from the surface medium sensor indicates that a second surface medium area is detected, searching an established room map to determine whether the second surface medium area exists in the room map; if the second surface medium area exists, determining whether a route bypassing the second surface medium area exists based on the room map and a boundary of the second surface medium area in the room map; if the route exists, controlling the cleaning robot to travel along the route to bypass the second surface medium area; and if the route does not exist, controlling the cleaning robot to return along a cleaned route to bypass the second surface medium area.

A method for operating a robotic device. Usage data and a first location of the robotic device are determined. A first sensor of the robotic device captures first data indicative of an environmental characteristic of the first location. A first operational parameter of a first actuator is adjusted based on the first data while the robotic device is at the first location. A debris map of the environment is formed based on debris data output by a second sensor configured to sense debris on a floor. A request for cleaning service at a location is received, wherein the robotic device is one of a plurality of robotic devices that provides surface cleaning services to a plurality of users. The robotic device to respond to the request is determined based on location, fill volume of a debris container, battery charge, and availability of each of the plurality of robotic devices.

A method for autonomously servicing a first cleaning component of a battery-operated mobile device, including: inferring, with a processor of the mobile device, a value of at least one environmental characteristic based on sensor data captured by a sensor disposed on the mobile device; actuating, with a controller of the mobile device, a first actuator interacting with the first cleaning component to at least one of: turn on, turn off, reverse direction, and increase or decrease in speed such that the first cleaning component engages or disengages based on the value of at least one environmental characteristic or at least one user input received by an application of a smartphone paired with the mobile device; and dispensing, by a maintenance station, water from a clean water container of the maintenance station for washing the first cleaning component when the mobile device is docked at the maintenance station.

The present disclosure relates to the technical field of smart home, and in particular, to a floor material recognition method, a control method, and a storage medium. The recognition method for the autonomous mobile device for recognizing the floor material includes: transmitting control instructions to the autonomous mobile device, the control instructions including commands that instruct the autonomous mobile device to rotate at a same location for a predetermined rotation angle; obtaining an actual rotation angle of the autonomous mobile device; determining a floor material based on the predetermined rotation angle and the actual rotation angle, such that the autonomous mobile device can automatically recognize different floor materials, and execute different functions or work modes, or automatically configure different set velocities based on the different floor materials, such that the autonomous mobile device can reach substantially consistent actual moving velocities when moving on the different floor materials.

An intelligent mobile device and a control method therefore are described. The method includes: acquiring, when the intelligent mobile apparatus is trap, first ground medium attribute information of a trapping region, where the first ground medium attribute information includes ground medium attribute information of the trapping region; and controlling, if the first ground medium attribute information matches target ground medium attribute information, the intelligent mobile apparatus to leave the trapping region and re-enter the trapping region in a direction different from a direction in which the intelligent mobile apparatus enters the trapping region.

An electronic control system is configured to control a vehicle operating in a convoy by determining a vehicle motion reference parameter (VMRP) in response to a convoying control input (CCI), determining a braking capability of the vehicle including at least a regenerative braking capability, determining a minimum following distance between the vehicle and a forward vehicle of the convoy based at least in part upon the braking capability, and arbitrating among a plurality of control options including preforming a first modification of the VMRP determined to provide operation of the vehicle satisfying the minimum following distance and controlling motion of the vehicle using the first modification of the VMRP, performing a second modification of the VMRP determined to provide improved operating efficiency of the vehicle controlling motion of the vehicle using the second modification of the VMRP, and performing no modification of the VMRP and controlling motion of the vehicle using the VMRP without modification.

Provided is a self-propelled cleaning robot that can efficiently clean a flat surface even if a step is formed. The self-propelled cleaning robot that self-travels on a structure to clean a flat surface of the structure, the structure being installed in an outdoor location, the robot includes: a robot main body (2) in which a self-propelled moving mechanism (4) is provided; a cleaning unit (10) that is provided in a front portion and/or a rear portion of the robot main body (2); and a controller (30) that controls activation of the moving mechanism (4). At this point, the controller (30) includes an attitude controller (35) that detects an attitude of the robot main body (2), the attitude controller (35) includes a floating detection sensor (36) that detects floating in one of the front portion and the rear portion of the robot main body (2), and, when the floating detection sensor (36) detects the floating in one of the front portion and the rear portion of the robot main body (2), the controller (30) controls the activation of the moving mechanism (4) such that the cleaning unit (10) passes through a place where the floating is detected after the floating is eliminated.

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 method includes receiving sensor data collected by an autonomous mobile robot as the autonomous mobile robot moves about an environment, the sensor data being indicative of sensor events and locations associated with the sensor events. The method includes identifying a subset of the sensor events based on the locations. The method includes providing, to a user computing device, data indicative of a recommended behavior control zone in the environment, the recommended behavior control zone containing a subset of the locations associated with the subset of the sensor events. The method includes defining, in response to a user selection from the user computing device, a behavior control zone such that the autonomous mobile robot initiates a behavior in response to encountering the behavior control zone, the behavior control zone being based on the recommended behavior control zone.