1892results about "Automatic obstacle detection" patented technology

A mobile computing device includes a user input device and a controller. The user input device includes a display, and the controller is operably connected to the user input device and configured to execute instructions to perform operations. The operations include presenting on the display, information about one or more areas that were not cleaned by an autonomous cleaning robot during a first mission. The operations further include transmitting data corresponding to a user-selected subset of the one or more areas to cause the robot to clean the user-selected subset during a second mission.

Disclosed is a method and tidying robot system that performs it. A robot of a tidying robot system receives a starting location, a target cleaning area, and obstructions in its path navigating the target cleaning area. It determines a tidying strategy including vacuuming and obstruction handling. It executes the tidying strategy, vacuuming the target cleaning area and moving and / or avoiding obstructions, which are tidyable and / or movable objects. Where the obstruction may be picked up, the robot determines and executes a pickup strategy. Where the obstruction may be relocated but not picked up, it pushes the obstruction to a different location. Where the obstruction cannot be relocated / picked up, it alters its path to avoid the obstruction. The robot determines if the dirt collector is full, and if so, navigates to a base station configured to charge the robot and empty the dirt collector. Otherwise, it continues to execute the tidying strategy.

Provided is an automatic cleaning device, including: a moving platform including an accommodation chamber; and a position determination apparatus, at least a part of the position determination apparatus provided in the accommodation chamber; a circuit board provided in the moving platform and disposed adjacent to the accommodation chamber; and a water retaining frame provided between the circuit board and the accommodation chamber so as to prevent liquid from flowing into the circuit board.

A method for operating a robot, including: capturing images of a workspace; capturing data indicative of movement of the robot; capturing LIDAR data as the robot moves within the workspace; generating a map of the workspace based on the LIDAR data; actuating the robot to drive; discriminating between an object on a floor surface along a path of the robot and the floor surface based on the captured images; actuating the robot to drive until determining all areas of the workspace are discovered and included in the map; and executing a cleaning function.

The invention relates to the technical field of path planning, and discloses a robot mechanical arm path planning method and system for curtain wall cleaning. According to the method, collected data are fused through a depth camera, a laser radar and an inertial measurement unit, a dynamic environment topological map is constructed, and accurate environment perception is achieved. A self-adaptive grid method and an improved spiral traversal algorithm are adopted, a global traversal path covering a cleaning area is generated, the joint motion trail of the mechanical arm is optimized in a layered mode, and motion accuracy and stability are ensured. And meanwhile, the dynamic control module monitors obstacles in real time, the joint track is adjusted online through local track re-planning, it is guaranteed that cleaning operation is safe and continuous, the cleaning pressure is adjusted in real time, and it is guaranteed that the cleaning quality is stable and consistent.

The invention discloses an intelligent navigation system of a sweeping robot, which relates to the technical field of household intelligent equipment and comprises a multi-source sensor array, a dynamic environment modeling module, a path planning engine, a multi-mode positioning module, an autonomous decision controller, a cloud collaborative optimization unit and a fault degradation processing module. Omnibearing environment perception is provided through a multi-source sensor array, data are fused in real time through a dynamic environment modeling module, a grid map is updated in an incremental mode, obstacle semantic information is marked, an improved A * algorithm and a dynamic window method are fused through a path planning engine, and an optimized path giving consideration to global efficiency and local dynamic obstacle avoidance is generated. The multi-modal positioning module fuses SLAM resolving and IMU data through tight coupling to achieve centimeter-level high-precision and high-robustness positioning, and the autonomous decision controller intelligently and dynamically adjusts the cleaning priority, the advancing speed and the exception handling strategy according to the path, environment state and pose information, so that the cleaning behavior better meets the requirement.

An autonomous mobile robot control method and apparatus, a device and a readable storage medium. An autonomous mobile robot determines a sound source direction according to a voice signal from a user, and determines moving objects around the autonomous mobile robot itself. The autonomous mobile robot determines, from the moving objects, a target object located in the sound source direction, determines a working area according to the target object, and moves to the working area, and executes a task.

A dynamic edge path generation method includes: obtaining a static edge path; obtaining dynamic sensing information in real time, the dynamic sensing information comprising a device position and an obstacle edge; cutting out a preset length of path segment from the static edge path on the basis of the device position, and fitting path points contained in the path segment to obtain a fitted curve; determining, on the basis of the fitted curve and the obstacle edge, a moving direction corresponding to each fitted sampling point in the fitted curve; moving each fitted sampling point by a preset distance at least once on the basis of the corresponding moving direction so as to obtain each corresponding target path point; and obtaining a dynamic edge path on the basis of the target path points.

Embodiments of the present disclosure disclose a robot cleaner, a method and an apparatus for controlling the robot cleaner, an electronic device, and a storage medium. According to the method, detection information or state information of the robot cleaner is acquired; and the mopping component of the robot cleaner is controlled to stop working and / or to ascend in response that the detection information or the state information satisfies a non-mopping condition.

A robot cleaning system, including: a cleaning robot connectable to a mopping module of the cleaning robot, and a base station provided for the cleaning robot to dock, the cleaning robot includes: a main body; a mobile module; and a connection assembly, configured to detachably dispose the mopping module on the body of the robot; the base station includes: a storage module, configured to store at least one mopping module; an operating position, for the cleaning robot to dock to replace the mopping module; and a transfer module, configured to transfer the mopping module between the storage module and the operating position; and the robot cleaning system further includes a control unit. Beneficial effects of the present disclosure are: the cleaning robot is more intelligent, and the corresponding base station is compact in structure and small in occupied area.

A movable platform control method and device, a movable platform, a control system, and a computer-readable storage medium are provided. The method comprises: determining semantic information of different objects located on a movement path; determining different safe execution distances for the different objects based on the semantic information of the different objects; and controlling the movable platform to execute a cleaning task and / or obstacle avoidance task according to the different safe execution distances of the different objects, where the semantic information of the different objects allows differentiation between obstacles and objects to be cleaned.

The invention provides a cleaning method of a cleaning robot, the cleaning robot and a cleaning system, and relates to the technical field of intelligent robots, the cleaning robot comprises a mop assembly and a driving wheel, the mop assembly is provided with a mop and a driving part for driving the mop to rotate, and the driving wheel is located in front of the mop with the walking advancing direction of the cleaning robot as the benchmark; in the cleaning process of the cleaning robot, it is detected that a heavily-polluted area exists, and the cleaning robot is controlled to advance at least partially in a backward mode based on a preset cleaning path so as to clean at least part of the heavily-polluted area through a mop; the rotating direction of the driving wheel is opposite to the rotating direction of the mop cloth in the backward moving process, the relative friction force between the mop cloth and the cleaning face is increased through the reverse rotation, and therefore the dirt is wiped and removed more effectively instead of sliding on the dirt simply, and the mop cloth is adjusted to the first position in the backward moving process, so that the mop cloth is not prone to sliding on the cleaning face. The cleaning area covers the walking area of the driving wheel, so that cross contamination is reduced, and the cleaning effect is improved.

The invention belongs to the technical field of cleaning robots, and particularly relates to a cleaning method of a cleaning robot, and the method comprises the steps: when a shielding part of the cleaning robot executes a cleaning task on an operation surface in a laying state, the cleaning robot is hijacked, and the hijacked time is from a first preset time to a second preset time; the shielding piece is controlled to be in a lowering state, the hijacked state is that the cleaning robot is moved away from the operation face, and the lowering state is that the shielding piece is located at the first position; the cleaning robot stops being hijacked and continues to execute the cleaning task, and when the operation face is the carpet area, the shielding piece is kept in the downward state to clean the carpet area; when the operation surface is a non-carpet area, the shielding piece is located at a target position to clean the non-carpet area, and the target position is a second position or a third position; the ventilation area of the shielding piece in the first position is smaller than that of the shielding piece in the second position or the third position.

The invention provides a control method and device of a cleaning robot and a cleaning system, relates to the field of intelligent robots and is applied to the cleaning system comprising the cleaning robot and a cleaning base station, and the cleaning base station comprises a bearing unit, a conveying mechanism, a first cleaning assembly and a second cleaning assembly. Comprising the steps that after the robot completes cleaning of all sub-areas in a first area based on a first cleaning assembly, the robot is controlled to return to a base station to replace a second cleaning assembly needed for executing cleaning of a second area; after the robot returns to the base station to execute the dismounting action of the first cleaning assembly, the robot is controlled to drive out of the base station; after the robot is located outside the base station, if it is determined that the second cleaning assembly exists in the bearing unit, the robot is controlled to drive into the base station so as to install the second cleaning assembly, in this way, by optimizing the cleaning sequence of the robot, the robot can complete the cleaning task more efficiently, the unnecessary cleaning assembly replacement frequency and time waste are reduced, and the cleaning efficiency is improved. Therefore, the cleaning efficiency is improved.

Systems and methods for navigating an autonomous vacuum are disclosed. According to one method, the autonomous vacuum traverses a cleaning environment having a plurality of surfaces. As the autonomous vacuum is traversing the cleaning environment, sensors on the autonomous vacuum capture sensor data describing a first section of a surface on which the autonomous vacuum is currently traversing. Based on the received sensor data, the autonomous vacuum can determine that the first section is of a first surface type of a plurality of surface types. The autonomous vacuum can generate a user interface with a background displaying the determined first surface type to notify the user of where the autonomous vacuum is cleaning.

The invention provides a cleaning method and device of a cleaning robot, the cleaning robot, equipment and a medium, and relates to the technical field of cleaning equipment. Comprising the steps that in the process that a cleaning robot cleans a to-be-cleaned area, under the condition that it is detected that a heavily-polluted area exists, the smudginess area of the heavily-polluted area is determined; if the dirty area is larger than the preset threshold value, the robot is controlled to advance in an advancing mode so as to clean at least part of the heavily-dirty area through a mop assembly; if the dirty area is smaller than or equal to the preset threshold value, the robot is controlled to advance in a backward mode so as to clean at least part of the heavily-dirty area through the mop assembly, and the robot can push dirt out of the heavily-dirty area and pollute the adjacent area when the robot moves backward for cleaning, so that the large-area heavily-dirty area is cleaned in the previous mode, and the cleaning efficiency is greatly improved. Dirt is prevented from being pushed to an uncleaned area, pollution diffusion is prevented, small-area heavily-polluted areas are cleaned in a reverse advancing mode, driving wheels are prevented from making contact with the dirt or diffusion, and the cleaning effect is improved.

The invention discloses a sweeping robot control method and system, and the method comprises the steps: calling a pre-established fault feature library according to a fault type outputted by an abnormality recognition module, and carrying out the matching of corresponding abnormality feature data, and obtaining a preliminary abnormality confirmation result; according to the action recovery instruction, an execution unit of the sweeping robot is driven to adjust the wheel rotating speed or reversely rotate a brush, state feedback data after execution is obtained, and whether the recovery action is completed or not is judged; a new cleaning path scheme is generated according to the condition that the current obstacle avoidance capability is insufficient through a path adjustment demand, and the feasibility of an alternative path is determined; through real-time state data in a task execution process, cleaning efficiency and frequent fault problems are continuously monitored, a feature library is circulated, and operation stability is judged.

A sweeping robot includes: a main body, a first cleaning mechanism, and a second cleaning mechanism. The first cleaning mechanism is connected to the main body and is located below the main body, and the first cleaning mechanism is configured to clean a floor. The second cleaning mechanism is rotatably connected to the main body, and has a first state and a second state. In the first state, the second cleaning mechanism retracts relative to a side of the main body, and in the second state, the second cleaning mechanism protrudes relative to the side of the main body, and the second cleaning mechanism is configured to clean a wall.

A robot cleaner includes: a main body; a driving wheel disposed on the bottom of the main body and configured to move the main body; a mopping device disposed on the bottom of the main body; and a rotation device including: a bridge connected to the mopping device, and a first motor configured to rotate the bridge for the mopping device such that the mopping device is moved to one from among a first position and a second position, wherein the mopping device is disposed on the bottom of the main body based on the mopping device being in the first position, and the mopping device protrudes outward from the main body based on the mopping device being in the second position.

A mobile cleaning robot includes a cleaning head configured to clean a floor surface in an environment, and at least one camera having a field of view that extends above the floor surface. The at least one camera is configured to capture images that include portions of the environment above the floor surface. The robot includes a recognition module is configured to recognize objects in the environment based on the images captured by the at least one camera, in which the recognition module is trained at least in part using the images captured by the at least one camera. The robot includes a storage device is configured to store a map of the environment. The robot includes a control module configured to control the mobile cleaning robot to navigate in the environment using the map and operate the cleaning head to perform cleaning tasks taking into account of the objects recognized by the recognition module.

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.

The invention discloses an electronic cleaning equipment operation optimization method and system based on the Internet of Things, and belongs to the field of control systems.The electronic cleaning equipment operation optimization method based on the Internet of Things comprises the following steps that ground stains are sensed in real time through a multi-mode sensor and an edge computing technology, and common stains and excrement stains are distinguished; after excrement stains are recognized, the electronic cleaning equipment is controlled to stop sweeping immediately, a rolling brush / dust collection module is closed, and stain diffusion is avoided; through cooperation of the Internet of Things and family environment data, a risk area is pre-judged, and cleaning logic is adjusted; compared with the prior art, the method has the beneficial effects that the dirt is classified, and when the dirt is judged to be excrement dirt, the electronic cleaning equipment is controlled to stop cleaning, so that the excrement dirt is prevented from being diffused; meanwhile, through cooperation of the Internet of Things and family environment data, the risk area is pre-judged, the cleaning logic is adjusted, the cleaning frequency and path of the electronic cleaning equipment are dynamically changed, and the stain diffusion risk is reduced.

A method for controlling movement of an autonomous mobile device is provided. The method includes controlling the autonomous mobile device to move along an edge of a first obstacle. The method also includes determining detection of a second obstacle in a moving direction, the first obstacle and the second obstacle forming a corner. The method also includes determining a first location of the autonomous mobile device. The method also includes determining a projected location adjacent the second obstacle. The method also includes determining a curved path connecting the first location and the projected location. The method also includes controlling the autonomous mobile device to move from the first location to the projected location along the curved path.

The invention provides a control method and system of a sweeping robot, and the method comprises the steps: obtaining image data, three-dimensional space data and sound data of a surrounding environment, and extracting object attribute features, space features and sound attribute features in the environment; fusing the object attribute feature, the spatial feature and the sound attribute feature to obtain an identification result; based on an identification result, executing hierarchical scene adaptive planning and executing a cleaning task by adopting a self-adaptive variational cleaning strategy; after the cleaning task is completed, second image data of the cleaned area are collected; recognizing residual stains on the ground according to the second image data and a preset cleaning effect recognition model; and if the area of the residual stain exceeds a preset area threshold value, triggering a re-cleaning program, and automatically switching a corresponding cleaning mode according to the type of the residual stain. According to the scheme, when the sweeping robot encounters the obstacles in the sweeping area, the sweeping robot can intelligently take accurate countermeasures, and an excellent sweeping effect is achieved.

The embodiment of the invention is suitable for the technical field of intelligent household appliances, and provides an object grabbing detection method and device and self-moving cleaning equipment, the method is applied to the self-moving cleaning equipment, the self-moving cleaning equipment comprises a mechanical arm, and the method comprises the steps that a grabbing mechanism of the mechanical arm is controlled to execute object grabbing operation; collecting point cloud data in a preset range; wherein the preset range comprises and is larger than an activity area range of the grabbing mechanism, or the preset range comprises an area nearby the self-moving cleaning equipment; and whether the mechanical arm successfully grabs the object or not is determined according to the point cloud data. By means of the method, whether the mechanical arm grabs the object successfully or not can be detected, and therefore the working efficiency of the self-moving cleaning equipment is improved.

A packaging system for an autonomous vacuum includes packaging including a platform, on which an autonomous vacuum is stored, and the autonomous vacuum configured for autonomous cleaning of an indoor environment. The autonomous vacuum comprises: a sensor system including one or more sensors for sensing characteristics of the indoor environment, and a controller configured to: operate the autonomous vacuum in a low-power mode during storage of the autonomous vacuum in the packaging, detect an unpackaging event based on sensor data captured by the sensor system, and operate the autonomous vacuum in a performance mode upon detection of the unpackaging event.