WO2018040607A1 - 机器人及机器人控制方法 - Google Patents
机器人及机器人控制方法 Download PDFInfo
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- WO2018040607A1 WO2018040607A1 PCT/CN2017/083111 CN2017083111W WO2018040607A1 WO 2018040607 A1 WO2018040607 A1 WO 2018040607A1 CN 2017083111 W CN2017083111 W CN 2017083111W WO 2018040607 A1 WO2018040607 A1 WO 2018040607A1
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- virtual wall
- robot
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- signal threshold
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000004140 cleaning Methods 0.000 claims abstract description 54
- 238000001514 detection method Methods 0.000 claims abstract description 15
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- 230000006978 adaptation Effects 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0242—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using non-visible light signals, e.g. IR or UV signals
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
- B25J9/1664—Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/24—Floor-sweeping machines, motor-driven
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
- A47L11/4011—Regulation of the cleaning machine by electric means; Control systems and remote control systems therefor
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L11/00—Machines for cleaning floors, carpets, furniture, walls, or wall coverings
- A47L11/40—Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
- A47L11/4061—Steering means; Means for avoiding obstacles; Details related to the place where the driver is accommodated
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L9/00—Details or accessories of suction cleaners, e.g. mechanical means for controlling the suction or for effecting pulsating action; Storing devices specially adapted to suction cleaners or parts thereof; Carrying-vehicles specially adapted for suction cleaners
- A47L9/28—Installation of the electric equipment, e.g. adaptation or attachment to the suction cleaner; Controlling suction cleaners by electric means
- A47L9/2805—Parameters or conditions being sensed
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L9/00—Details or accessories of suction cleaners, e.g. mechanical means for controlling the suction or for effecting pulsating action; Storing devices specially adapted to suction cleaners or parts thereof; Carrying-vehicles specially adapted for suction cleaners
- A47L9/28—Installation of the electric equipment, e.g. adaptation or attachment to the suction cleaner; Controlling suction cleaners by electric means
- A47L9/2836—Installation of the electric equipment, e.g. adaptation or attachment to the suction cleaner; Controlling suction cleaners by electric means characterised by the parts which are controlled
- A47L9/2852—Elements for displacement of the vacuum cleaner or the accessories therefor, e.g. wheels, casters or nozzles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/008—Manipulators for service tasks
- B25J11/0085—Cleaning
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
- B25J19/02—Sensing devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
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- B25J9/16—Programme controls
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
- B25J9/1664—Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
- B25J9/1666—Avoiding collision or forbidden zones
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
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- G—PHYSICS
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0259—Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means
- G05D1/0263—Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means using magnetic strips
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- G—PHYSICS
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L2201/00—Robotic cleaning machines, i.e. with automatic control of the travelling movement or the cleaning operation
- A47L2201/04—Automatic control of the travelling movement; Automatic obstacle detection
Definitions
- the present disclosure relates to the field of smart homes, and in particular to a robot and a robot control method.
- the cleaning robot is a robot that performs a cleaning operation while automatically traveling in a certain area without user operation.
- a virtual wall for example, a virtual wall at the entrance to the bathroom.
- the virtual wall can be realized by a virtual wall magnetic strip disposed on the ground.
- the surrounding magnetic field strength is detected by the detecting component.
- the detected magnetic field strength is greater than the preset magnetic threshold, it is determined that Traveling to the virtual wall, the cleaning robot can turn and enter the edge cleaning mode.
- the magnetic threshold is set large, the cleaning robot needs to travel close to the virtual wall to enter the edge cleaning mode.
- the detection component is usually placed at the center of the cleaning robot, when the cleaning robot enters the edge cleaning mode, The drive wheel has actually crossed the virtual wall magnetic strip into the area that the user does not want to enter, and still causes the above-mentioned water inflow and the fragmentation of the toy into the dust box; when the magnetic threshold is set smaller, although Avoid driving the wheel into these areas, but the cleaning robot may have been in the edge cleaning mode far from the virtual wall, or the cleaning robot may mistakenly misrepresent the weak magnetic items such as stainless steel furniture into the virtual wall and enter the edge cleaning mode. As a result, user intervention is often required, and it is difficult to fully automate the cleaning of complex environments.
- two or more detecting components may be disposed at the periphery of the cleaning robot, and the plurality of detecting components jointly identify the virtual wall, but It is not reasonable to configure multiple detection components in the cleaning robot to increase the complexity of the circuit and increase the manufacturing cost of the cleaning robot.
- the present disclosure provides a robot and a robot control method.
- the technical solution is as follows:
- a robot comprising: a control unit;
- the control unit is configured to:
- the virtual wall is identified according to the signal threshold and the virtual wall signal;
- the signal threshold is adjusted, and the robot is controlled to travel along the outside of the virtual wall according to the adjusted signal threshold and the virtual wall signal, so that when the robot travels along the outside of the virtual wall, the driving wheel of the robot is located in the virtual wall.
- the outside of the virtual wall is the side of the virtual wall that is in the active area of the robot.
- the signal threshold is a first signal threshold
- the adjusted signal threshold is a second signal threshold
- the second signal threshold is smaller than the first signal threshold
- control unit is further configured to:
- control robot moves back a predetermined distance and travels along the outside of the virtual wall;
- the travel path of the robot is adjusted based on the relationship between the virtual wall signal and the second signal threshold.
- control unit is further configured to:
- the control robot travels in a direction approaching the virtual wall.
- control unit is further configured to:
- the control robot travels along the travel route and adjusts the travel route according to the virtual wall signal.
- control unit is further configured to:
- control unit is further configured to:
- the identification based on the signal threshold and the virtual wall signal is performed again.
- the steps of the virtual wall is performed again.
- control unit is further configured to:
- the robot travels along the outer side of the virtual wall.
- control unit is further configured to:
- the first signal threshold is adjusted according to the maximum value of the virtual wall signal.
- the detecting component comprises at least one of a magnetometer, a Hall sensor, and an infrared sensor.
- the detecting component is disposed on a rear side of the guiding wheel of the robot with respect to the forward direction.
- the robot is a cleaning robot.
- a robot control method comprising:
- the virtual wall is identified according to the signal threshold and the virtual wall signal;
- the signal threshold is adjusted, and the robot is controlled to travel along the outside of the virtual wall according to the adjusted signal threshold and the virtual wall signal, so that when the robot travels along the outside of the virtual wall, the driving wheel of the robot is located in the virtual wall.
- the outside of the virtual wall is the side of the virtual wall that is in the active area of the robot.
- the signal threshold is a first signal threshold
- the adjusted signal threshold is a second signal threshold
- the second signal threshold is smaller than the first signal threshold
- the robot is controlled to travel along the outer side of the virtual wall according to the adjusted signal threshold and the virtual wall signal, including:
- control robot moves back a predetermined distance and travels along the outside of the virtual wall;
- the travel path of the robot is adjusted based on the relationship between the virtual wall signal and the second signal threshold.
- adjusting the travel route of the robot according to the relationship between the virtual wall signal and the second signal threshold including:
- the control robot travels in a direction approaching the virtual wall.
- adjusting the travel route of the robot according to the relationship between the virtual wall signal and the second signal threshold including:
- the control robot travels along the travel route and adjusts the travel route according to the virtual wall signal.
- the virtual wall is identified based on the signal threshold and the virtual wall signal, including:
- the method further includes:
- the step of identifying the virtual wall based on the signal threshold and the virtual wall signal is performed again.
- the method further includes:
- the robot travels along the outer side of the virtual wall.
- the method further includes:
- the first signal threshold is adjusted according to the maximum value of the virtual wall signal.
- the detecting component comprises at least one of a magnetometer, a Hall sensor, and an infrared sensor.
- the detecting component is disposed on a rear side of the guiding wheel of the robot with respect to the forward direction.
- the robot is a cleaning robot.
- the virtual wall is identified according to the signal threshold and the virtual wall signal detected by the detecting component, and when the virtual wall is recognized, the signal threshold is adjusted and according to the adjusted signal Threshold and virtual wall signals control the robot to travel along the outside of the virtual wall.
- different signal thresholds are used to solve the robotic drive caused by setting only a large signal threshold.
- the wheel enters the virtual wall or only sets a small signal threshold, the user needs to intervene due to misjudgment, and it is difficult to fully complete the cleaning of the complex environment; the robot is maintained on the basis of accurately identifying the virtual wall.
- the driving wheel of the robot is located outside the virtual wall, and does not enter the inner region of the virtual wall.
- FIG. 1A is a schematic structural diagram of a robot according to various embodiments of the present disclosure.
- FIG. 1B is a schematic structural diagram of a robot according to various embodiments of the present disclosure.
- FIG. 2 is a structural block diagram of a robot involved in various embodiments of the present disclosure
- FIG. 3 is a flowchart of a robot control method according to an exemplary embodiment
- FIG. 4 is a flowchart of a robot control method according to another exemplary embodiment
- FIG. 5A is a schematic diagram showing the operation of a robot according to another exemplary embodiment
- FIG. 5B is a schematic diagram showing the operation of a robot according to another exemplary embodiment
- FIG. 5C is a schematic diagram showing the operation of a robot according to another exemplary embodiment
- FIG. 6 is a flowchart of a robot control method according to another exemplary embodiment
- FIG. 7 is a flowchart of a robot control method according to another exemplary embodiment
- FIG. 8 is a flowchart of a robot control method according to another exemplary embodiment.
- FIGS. 1A and FIG. 1B are schematic structural diagrams of a robot according to various exemplary embodiments of the present disclosure, FIG. 1A exemplarily showing a top view of the robot 10, and FIG. 1B exemplarily showing a bottom view of the robot 10 schematic diagram.
- the robot 10 includes a body 110, a driving module 120, a detecting component 130, a control module (not shown), and a storage component (not shown).
- the body 110 forms the outer casing of the robot 10 and houses other components.
- the body 110 has a flat cylindrical shape.
- the drive module 120 is used to drive the forward or reverse of the robot 10.
- the driving module 120 includes a pair of driving wheels 121 and driving wheels 122 mounted on the middle sides of the bottom of the body 110.
- the driving wheels 121 and the driving wheels 122 are used to drive the robot 10 to advance or retreat.
- the driving module 120 further includes a guiding wheel 123 disposed at the front of the body 110, and the guiding wheel 123 is used to change the traveling direction of the robot during the traveling.
- the detecting component 130 is for detecting the circumferential side environment of the robot 10 to find a virtual wall provided in the circumferential side environment.
- the detection component 130 is further configured to send the detected virtual wall signal to the control module.
- the detecting component 130 includes at least one of a magnetometer (Compass), a Hall sensor, and an infrared sensor.
- the detecting component 130 is generally disposed on a circuit board within the body 110, and the detecting component 130 is located at an intermediate position of the front region of the body.
- the detecting component 130 is disposed at a rear side of the guiding wheel in the front region of the robot with respect to the forward direction.
- FIG. 1B exemplarily shows the detection assembly 130 on the rear side of the guide wheel, on the front side of the drive wheel 121 and the drive wheel 122.
- the control module is disposed on the circuit board in the body 110.
- the control module includes a processor, and the processor can comprehensively determine the working state of the robot according to the virtual wall signals fed back by the magnetometer, the Hall sensor, and the infrared sensor.
- the processor is an MCU (Microcontroller Unit) or an AP (Electronic Operation Processor).
- the storage component is disposed on a circuit board within the body 110.
- the storage component includes a memory, and the memory can store location information and speed information of the robot, and an instant map drawn by the processor.
- the robot may also include other modules or components, or only some of the above-mentioned modules or components, which are not limited in this embodiment, and only the above-mentioned robot is taken as an example for description.
- the robot in this embodiment is a cleaning robot.
- the cleaning robot usually further includes: a main brush 140 .
- the main brush 140 is mounted on the bottom of the body 110.
- the main brush 140 is a drum-shaped rotating brush that rotates with respect to the contact surface in a roller type, and the main brush 140 is used for cleaning during the traveling of the cleaning robot 10.
- the robot includes a detecting unit 210, a receiving unit 220, a control unit 230, an output unit 240, a storage unit 250, and a driving unit 260.
- the detecting unit 210 is configured to detect a virtual wall signal during the traveling of the robot.
- the receiving unit 220 is configured to receive the virtual wall signal fed back by the detecting unit 210.
- the control unit 230 is configured to identify the virtual wall according to the virtual wall signal received by the receiving unit 220 and the preset signal threshold, and is used to control the overall operation of the robot. Upon receiving the travel command, the control unit 230 controls the robot to travel on the travel path in a predetermined travel mode. This embodiment does not repeat the other instructions that the control unit 230 receives the user.
- the output unit 240 is configured to output a control signal of the control unit 230 to the driving unit 260.
- the storage unit 250 is configured to store at least one instruction including at least an instruction for executing a predetermined traveling mode and a traveling path, an instruction for drawing an instant map, and the like.
- the storage unit 250 is further configured to store preset signal thresholds, as well as self-position data, virtual wall data, and other obstacle data sensed by the robot during traveling.
- the driving unit 260 is configured to control the driving direction and the rotating speed of the driving wheel according to the control signal of the control unit 230.
- control unit 230 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), A programmed gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the robotic charging method in embodiments of the present disclosure.
- ASICs application specific integrated circuits
- DSPs digital signal processors
- DSPDs digital signal processing devices
- PLDs programmable logic devices
- FPGA A programmed gate array
- controller microcontroller, microprocessor or other electronic component implementation for performing the robotic charging method in embodiments of the present disclosure.
- the robot when it is a cleaning robot, it usually includes a cleaning unit (not shown) connected to the output unit 240, and the cleaning unit is configured to receive the cleaning command of the control unit 230 through the output unit 240, and according to the cleaning.
- the command controls the main brush to clean the contact surface in contact with the main brush in a rolling manner during the travel of the cleaning robot.
- the above control unit 230 is configured to:
- the virtual wall is identified according to the signal threshold and the virtual wall signal;
- the signal threshold is adjusted, and the robot is controlled to travel along the outside of the virtual wall according to the adjusted signal threshold and the virtual wall signal, so that when the robot travels along the outside of the virtual wall, the driving wheel of the robot is located in the virtual wall.
- the outside of the virtual wall is the side of the virtual wall that is in the active area of the robot.
- control unit 230 is further configured to:
- the signal threshold is a first signal threshold
- the adjusted signal threshold is a second signal threshold
- the second signal threshold is less than the first signal threshold
- control unit 230 is further configured to:
- control robot moves back a predetermined distance and travels along the outside of the virtual wall;
- the travel path of the robot is adjusted based on the relationship between the virtual wall signal and the second signal threshold.
- control unit 230 is further configured to:
- the control robot travels in a direction approaching the virtual wall.
- control unit 230 is further configured to:
- Controlling the robot to travel when detecting that the difference between the virtual wall signal and the second signal threshold is within a predetermined range The route travels and adjusts the travel route based on the virtual wall signal.
- control unit 230 is further configured to:
- control unit 230 is further configured to:
- the step of identifying the virtual wall based on the signal threshold and the virtual wall signal is performed again.
- control unit 230 is further configured to:
- the robot travels along the outer side of the virtual wall.
- control unit 230 is further configured to:
- the first signal threshold is adjusted according to the maximum value of the virtual wall signal.
- non-transitory computer readable storage medium comprising instructions, such as a storage unit 250 including instructions executable by control unit 230 to perform the cleaning robot in the above-described embodiments of the present disclosure Control Method.
- the non-transitory computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.
- FIG. 3 shows a flowchart of a robot control method shown by an exemplary embodiment. This embodiment is described by using the method in the above-described robot shown in FIG. 1A and FIG. 1B.
- the robot control method includes the following steps:
- step 301 the virtual wall signal is detected by the detection component.
- step 302 the virtual wall is identified based on the signal threshold and the virtual wall signal during the travel of the robot.
- step 303 when the virtual wall is recognized, the signal threshold is adjusted, and the robot is controlled to travel along the outer side of the virtual wall according to the adjusted signal threshold and the virtual wall signal, so that the robot drives when the robot travels along the outer side of the virtual wall.
- the wheel is located on the outside of the virtual wall.
- the outside of the virtual wall is the side of the virtual wall that is in the active area of the robot.
- the cleaning robot cleaning method identifies the virtual wall according to the signal threshold and the virtual wall signal detected by the detecting component during the traveling of the robot by setting two different signal thresholds.
- the signal threshold is adjusted, and the robot is controlled to travel along the outside of the virtual wall according to the adjusted signal threshold and the virtual wall signal, and the virtual wall is recognized and the robot is controlled to travel along the outside of the virtual wall.
- different signal thresholds it is difficult to require user intervention when the driving wheel of the robot enters the virtual wall or only sets a small signal threshold when only one large signal threshold is set. Automatically complete the cleaning problem of complex environment; on the basis of accurately identifying the virtual wall, when the robot is moving along the outer side of the virtual wall, the driving wheel of the robot is located outside the virtual wall and does not enter the inner area of the virtual wall. effect.
- the signal threshold and the adjusted signal threshold are preset signal thresholds with different values.
- the signal threshold is the first signal threshold
- the adjusted signal threshold is the first.
- the second signal threshold is illustrated as an example.
- FIG. 4 shows a flowchart of a robot control method shown in an exemplary embodiment. This embodiment is described by using the method in the above-described robot shown in FIG. 1A and FIG. 1B.
- the robot control method includes the following steps:
- step 401 the virtual wall signal is detected by the detection component.
- the robot detects the virtual wall signal through the detecting component at a predetermined time interval, and the length of the predetermined time interval is a preset value of the system or a user-defined value, which is not limited in this embodiment.
- the detecting component is generally corresponding to the type of the set virtual wall, and the virtual wall signal is a signal corresponding to the type of the virtual wall sensed by the robot through the detecting component; optionally, when the set virtual wall is a magnetic virtual formed by the magnetic strip When the wall is used, the detecting component is a magnetic timing, and the virtual wall signal is the magnetic field strength sensed by the magnetometer; when the virtual wall is a magnetic virtual wall formed by a magnetic strip, when the detecting component can also be a Hall sensor, the virtual wall signal is The potential difference generated by the Hall sensor in the magnetic field; when the virtual wall is set to be an infrared virtual wall formed by infrared rays, when the detecting component is an infrared sensor, the virtual wall signal is an infrared signal detected by the infrared sensor. In this embodiment, the virtual wall signal is a magnetic field strength as an example.
- step 402 during the travel of the robot, it is detected whether the virtual wall signal reaches the first signal threshold.
- the first signal threshold is usually a large empirical value.
- the first signal threshold is 2000 Gauss.
- the robot usually travels so that the distance between the detecting component and the magnetic strip is small enough, and the detected virtual wall signal from the magnetic strip reaches the first signal threshold. For example, the traveling to the detecting component is just in the magnetic state. When the bar is directly above.
- the virtual wall signal generated by the virtual wall is usually different due to the influence of other objects in the environment.
- the virtual wall signal is the magnetic field strength, for example, the magnitude of the earth magnetic field induced by the robot.
- the virtual wall signal detected by the robot is different; for example, because the wire also generates a magnetic field, when the floor is provided with a magnetic strip
- the virtual wall signal detected by the robot and the bottom of the magnetic strip are not below the floor.
- the virtual wall signals detected when laying the wires are also different.
- the virtual wall signal generated by the virtual wall can also be different.
- the robot can adjust the first signal threshold according to the actual measured virtual wall signal, including the following two steps:
- the first signal threshold is adjusted to be slightly smaller than the maximum value of the virtual wall signal, wherein a slightly smaller value means that the difference between the maximum value of the virtual wall signal and the first signal threshold is less than a predetermined threshold.
- the predetermined threshold is a system preset or a user-defined value. For example, the initial threshold of the robot is 2000 Gauss. When the robot determines that the maximum value of the virtual wall signal is 1900 Gauss, the robot adjusts the first signal threshold to 1800 Gauss.
- step 403 when it is detected that the virtual wall signal reaches the first signal threshold, it is determined that the virtual wall is recognized.
- the virtual wall signal detected by the robot includes signals generated by the virtual wall, and may also include signals corresponding to the type of the virtual wall generated by other objects in the environment in which the robot is located.
- the signal generated by the virtual wall is generally strong.
- the signals generated by other objects are usually weak.
- the virtual wall is a magnetic virtual wall
- the virtual wall signal detected by the robot is the magnetic field strength
- the detected magnetic field strength is usually strong.
- the stainless steel in the environment where the robot is located The furniture is also magnetic, and the robot also detects the magnetic field strength of stainless steel furniture, but the detected magnetic field strength is usually small.
- the robot can detect the virtual wall signal generated by the virtual wall when it is far away from the virtual wall. If the robot determines that the virtual wall is recognized and adjusts the traveling direction, Obviously not reasonable enough.
- the virtual wall signal that reaches the first signal threshold is determined to be a signal generated by the virtual wall, it is determined that the virtual wall is recognized, and the following steps 405 are performed. .
- step 404 when it is detected that the virtual wall signal does not reach the first signal threshold, it is determined that the virtual wall is not recognized.
- the robot When it is detected that the virtual wall signal does not reach the first signal threshold, the robot continues to advance in the current traveling direction.
- step 405 when the virtual wall is identified, the signal threshold is adjusted to control the robot to retreat a predetermined distance and travel along the outside of the virtual wall.
- the robot switches the signal threshold from the first signal threshold to the second signal threshold when the virtual wall is identified, and the second signal threshold is typically a small empirical value.
- the second signal threshold is 800 Gauss.
- the robot detects the virtual position at a certain distance from the virtual wall.
- the wall signal strength can reach 800 Gauss, such as 10 cm from the virtual wall.
- the outer side of the virtual wall is the side of the virtual wall in the active area of the robot.
- the inner side of the virtual wall is the side of the virtual wall in the inactive area of the robot, inactive.
- the area is the area where the robot does not have access.
- the outer side of the virtual wall is the side of the virtual wall that is in the area to be cleaned, and the inner side of the virtual wall is the side of the virtual wall that is in the non-clean area.
- the detected virtual wall signal is greater than the first signal threshold. Since the guiding wheel of the robot is in front of the detecting component, when the robot recognizes the virtual wall, the robot is guided. The wheel has generally traveled to the inside of the virtual wall. In the top view of the robot shown in FIG. 5A, when the detecting component 130 of the robot is directly above the magnetic strip 50, the guiding wheel 123 has traversed into the inner wall of the virtual wall formed by the magnetic strip. At this time, if the robot rotates directly, the driving wheel of the robot will rotate to the inner area of the virtual wall.
- the robot retreats a predetermined distance
- the predetermined distance is an empirical value preset by the system.
- the guiding wheel of the robot retreats to the outside of the virtual wall.
- the top view becomes a view as shown in FIG. 5B.
- the robot After the robot retreats a predetermined distance, the robot rotates a predetermined angle in a predetermined direction and then travels along the outside of the virtual wall.
- the predetermined direction and the predetermined angle are system preset values.
- the robot rotates to a predetermined angle and rotates along the outside of the virtual wall as an example. Be explained.
- the cleaning robot retreats a predetermined distance and travels clean along the outside of the virtual wall.
- the signal threshold is adjusted; or, after the robot adjusts the signal threshold, the predetermined angle is rotated in a predetermined direction.
- the virtual wall may be of any shape.
- the shape of the virtual wall in FIG. 5A and FIG. 5B is merely exemplary, which is not limited in this embodiment.
- step 406 as the robot travels along the outside of the virtual wall, the travel path of the robot is adjusted based on the relationship between the virtual wall signal and the second signal threshold.
- This step includes two different implementations:
- the step can be implemented as the following steps, as shown in FIG. 6:
- step 601 it is detected whether the virtual wall signal reaches the second signal threshold.
- step 602 when it is detected that the virtual wall signal reaches the second signal threshold, the robot is controlled to travel away from the virtual wall.
- the robot When detecting that the virtual wall signal reaches the second signal threshold, the robot rotates a predetermined angle and travels away from the virtual wall, and the predetermined angle is a preset value of the system or is determined by the cleaning robot according to the virtual wall signal and the second signal threshold. The difference between the values is determined, which is not limited in this embodiment.
- step 405 when the robot rotates to the left and travels along the obstacle in step 405, the direction away from the virtual wall is to the left; when the robot rotates to the left and travels along the obstacle, the direction away from the virtual wall is to the right.
- step 603 when it is detected that the virtual wall signal is less than the second signal threshold, the control robot travels in a direction approaching the virtual wall.
- FIG. 5C a schematic diagram of the robot sweeping along the virtual wall is shown in FIG. 5C
- the orientation of the triangle in the robot 10 represents the direction of travel of the robot 10
- the traveling direction is continuously adjusted according to the virtual wall signal and the second signal threshold, and travels substantially in a wavy manner
- the broken line in FIG. 5C indicates the traveling direction of the robot 10.
- the frequency at which the robot 10 adjusts the traveling direction is generally high, and the robot 10 is still a straight line along the virtual wall in the user's view. Going forward.
- the step can be implemented as the following steps, as shown in FIG. 7:
- step 701 a travel route is fitted according to the acquired predetermined number of virtual wall signals.
- the travel route corresponds to a shape formed on the outer side of the virtual wall.
- the shape formed on the outer side of the virtual wall is a regular shape.
- the virtual wall is usually a straight line or an arc, so that the robot is virtualized with a smoother running path.
- the outer side of the wall travels, and the travel route can be fitted according to the collected virtual wall signals.
- the predetermined number is a system preset or a user-defined value.
- the predetermined number is 10.
- the traveling path that the robot fits is a straight line along the current traveling direction of the robot. .
- step 702 when it is detected that the difference between the virtual wall signal and the second signal threshold is within a predetermined range, the control robot is traveled along the travel route, and the travel route is adjusted according to the virtual wall signal.
- the predetermined range is a system preset value.
- the robot can adjust the travel route of the robot by the method shown in the above steps 601-603, which is not described in this embodiment.
- the robot travels a week along the area formed by the virtual wall, or, as shown in FIGS. 5A-5C above, when the robot travels along the virtual wall until the robot senses an obstacle such as a solid wall, the robot determines to end the outer side of the virtual wall.
- the method also includes the following steps, as shown in Figure 8:
- step 801 it is detected whether the virtual wall signal is less than the second signal threshold.
- step 802 when the continuous detection that the virtual wall signal is less than the second signal threshold reaches a predetermined length of time At the time, it is determined that the robot travels along the outer side of the virtual wall.
- the robot ends the travel along the outer side of the virtual wall.
- step 803 the step of recognizing the virtual wall based on the signal threshold and the virtual wall signal is performed again when the robot ends the travel outside the virtual wall.
- the virtual signal wall is re-used using the first signal threshold with a larger value.
- the cleaning robot cleaning method identifies the virtual wall according to the signal threshold and the virtual wall signal detected by the detecting component during the traveling of the robot by setting two different signal thresholds.
- the signal threshold is adjusted, and the robot is controlled to travel along the outside of the virtual wall according to the adjusted signal threshold and the virtual wall signal, and different signal thresholds are used when identifying the virtual wall and controlling the robot to travel along the outside of the virtual wall.
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Abstract
Description
Claims (24)
- 一种机器人,其特征在于,所述机器人包括:控制单元;所述控制单元被配置为:通过检测组件检测虚拟墙信号;在所述机器人的行进过程中,根据信号阈值和所述虚拟墙信号识别虚拟墙;在识别到所述虚拟墙时,调整所述信号阈值,并根据调整后的所述信号阈值和所述虚拟墙信号控制所述机器人沿所述虚拟墙的外侧行进,使所述机器人在沿所述虚拟墙的外侧行进时,所述机器人的驱动轮位于所述虚拟墙的外侧;其中,所述虚拟墙的外侧是所述虚拟墙中处于所述机器人的活动区域中的一侧。
- 根据权利要求1所述的机器人,其特征在于,所述信号阈值为第一信号阈值,调整后的所述信号阈值为第二信号阈值,所述第二信号阈值小于所述第一信号阈值。
- 根据权利要求2所述的机器人,其特征在于,所述控制单元还被配置为:在识别到所述虚拟墙时,控制所述机器人后退预定距离并沿所述虚拟墙的外侧行进;在所述机器人沿所述虚拟墙的外侧行进时,根据所述虚拟墙信号和所述第二信号阈值之间的关系调整所述机器人的行进路线。
- 根据权利要求3所述的机器人,其特征在于,所述控制单元还被配置为:检测所述虚拟墙信号是否达到所述第二信号阈值;当检测到所述虚拟墙信号达到所述第二信号阈值时,控制所述机器人向远离所述虚拟墙的方向行进;当检测到所述虚拟墙信号小于所述第二信号阈值时,控制所述机器人向靠近所述虚拟墙的方向行进。
- 根据权利要求3所述的机器人,其特征在于,所述控制单元还被配置为:根据采集到的预定个数的所述虚拟墙信号拟合出所述行进路线,所述行进路线与所述虚拟墙的外侧形成的形状相对应;当检测到所述虚拟墙信号与所述第二信号阈值的差值在预定范围内时,控制所述机器人沿所述行进路线行进,并根据所述虚拟墙信号对所述行进路线进行调整。
- 根据权利要求2所述的机器人,其特征在于,所述控制单元还被配置为:检测所述虚拟墙信号是否达到所述第一信号阈值;当检测到所述虚拟墙信号达到所述第一信号阈值时,确定识别到所述虚拟墙。
- 根据权利要求2所述的机器人,其特征在于,所述控制单元还被配置为:在所述机器人沿所述虚拟墙的外侧行进结束时,再次执行所述根据信号阈值和所述虚拟墙信号识别虚拟墙的步骤。
- 根据权利要求7所述的机器人,其特征在于,所述控制单元还被配置为:检测所述虚拟墙信号是否小于所述第二信号阈值;当持续检测到所述虚拟墙信号小于所述第二信号阈值的时长达到预定时长时,确定所述机器人沿所述虚拟墙的外侧行进结束。
- 根据权利要求2所述的机器人,其特征在于,所述控制单元还被配置为:在所述机器人的行进过程中,确定所述虚拟墙信号的最大值;根据所述虚拟墙信号的最大值对所述第一信号阈值进行调整。
- 根据权利要求1所述的机器人,其特征在于,所述检测组件包括磁力计、霍尔传感器和红外传感器中的至少一种。
- 根据权利要求1所述的机器人,其特征在于,所述检测组件设置在所述机器人的导向轮相对于前进方向的后侧。
- 根据权利要求1至11任一所述的机器人,其特征在于,所述机器人是清洁机器人。
- 一种机器人控制方法,其特征在于,所述方法包括:通过检测组件检测虚拟墙信号;在所述机器人的行进过程中,根据信号阈值和所述虚拟墙信号识别虚拟墙;在识别到所述虚拟墙时,调整所述信号阈值,并根据调整后的所述信号阈值和所述虚拟墙信号控制所述机器人沿所述虚拟墙的外侧行进,使所述机器人在沿所述虚拟墙的外侧行进时,所述机器人的驱动轮位于所述虚拟墙的外侧;其中,所述虚拟墙的外侧是所述虚拟墙中处于所述机器人的活动区域中的一侧。
- 根据权利要求13所述的方法,其特征在于,所述信号阈值为第一信号阈值,调整后的所述信号阈值为第二信号阈值,所述第二信号阈值小于所述第一信号阈值。
- 根据权利要求14所述的方法,其特征在于,所述根据调整后的所述信号阈值和所述虚拟墙信号控制所述机器人沿所述虚拟墙的外侧行进,包括:在识别到所述虚拟墙时,控制所述机器人后退预定距离并沿所述虚拟墙的外侧行进;在所述机器人沿所述虚拟墙的外侧行进时,根据所述虚拟墙信号和所述第二信号阈值之间的关系调整所述机器人的行进路线。
- 根据权利要求15所述的方法,其特征在于,所述根据所述虚拟墙信号和所述第二信号阈值之间的关系调整所述机器人的行进路线,包括:检测所述虚拟墙信号是否达到所述第二信号阈值;当检测到所述虚拟墙信号达到所述第二信号阈值时,控制所述机器人向远离所述虚拟墙的方向行进;当检测到所述虚拟墙信号小于所述第二信号阈值时,控制所述机器人向靠近所述虚拟墙的方向行进。
- 根据权利要求15所述的方法,其特征在于,所述根据所述虚拟墙信号和所述第二信号阈值之间的关系调整所述机器人的行进路线,包括:根据采集到的预定个数的所述虚拟墙信号拟合出所述行进路线,所述行进路线与所述虚拟墙的外侧形成的形状相对应;当检测到所述虚拟墙信号与所述第二信号阈值的差值在预定范围内时,控制所述机器人沿所述行进路线行进,并根据所述虚拟墙信号对所述行进路线进行调整。
- 根据权利要求14所述的方法,其特征在于,所述根据信号阈值和所述虚拟墙信号识别虚拟墙,包括:检测所述虚拟墙信号是否达到所述第一信号阈值;当检测到所述虚拟墙信号达到所述第一信号阈值时,确定识别到所述虚拟墙。
- 根据权利要求14所述的方法,其特征在于,所述方法还包括:在所述机器人沿所述虚拟墙的外侧行进结束时,再次执行所述根据信号阈值和所述虚拟墙信号识别虚拟墙的步骤。
- 根据权利要求19所述的方法,其特征在于,所述方法还包括:检测所述虚拟墙信号是否小于所述第二信号阈值;当持续检测到所述虚拟墙信号小于所述第二信号阈值的时长达到预定时长时,确定所述机器人沿所述虚拟墙的外侧行进结束。
- 根据权利要求14所述的方法,其特征在于,所述方法还包括:在所述机器人的行进过程中,确定所述虚拟墙信号的最大值;根据所述虚拟墙信号的最大值对所述第一信号阈值进行调整。
- 根据权利要求13所述的方法,其特征在于,所述检测组件包括磁力计、霍尔传感器和红外传感器中的至少一种。
- 根据权利要求13所述的方法,其特征在于,所述检测组件设置在所述机器人的导向轮相对于前进方向的后侧。
- 根据权利要求13至23任一所述的方法,其特征在于,所述机器人是清洁机器人。
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CN115316887B (zh) * | 2022-10-17 | 2023-02-28 | 杭州华橙软件技术有限公司 | 机器人控制方法、机器人及计算机可读存储介质 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007034866A (ja) * | 2005-07-29 | 2007-02-08 | Hitachi Appliances Inc | 移動体の走行制御方法及び自走式掃除機 |
DE102008028931A1 (de) * | 2008-06-18 | 2009-12-24 | BSH Bosch und Siemens Hausgeräte GmbH | Verfahren und Vorrichtung zum Steuern einer Fahrbewegung eines Roboters, insbesondere eines Staubsammelroboters in einem Flächenbereich |
JP2009301247A (ja) * | 2008-06-12 | 2009-12-24 | Hitachi Appliances Inc | 自律移動ロボットの仮想壁システム |
CN102138769A (zh) * | 2010-01-28 | 2011-08-03 | 深圳先进技术研究院 | 清洁机器人及其清扫方法 |
CN104898670A (zh) * | 2015-04-30 | 2015-09-09 | 深圳市普森斯科技有限公司 | 智能拖地系统及其控制方法 |
CN106272420A (zh) * | 2016-08-30 | 2017-01-04 | 北京小米移动软件有限公司 | 机器人及机器人控制方法 |
Family Cites Families (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6062907A (ja) * | 1983-09-17 | 1985-04-11 | 甲陽建設工業株式会社 | 芝刈りロボツト |
AU622986B2 (en) * | 1990-03-19 | 1992-04-30 | Masamori Koseki | Method of moving and guiding golf carrier |
IL124413A (en) | 1998-05-11 | 2001-05-20 | Friendly Robotics Ltd | System and method for area coverage with an autonomous robot |
JP2002321179A (ja) * | 2002-03-15 | 2002-11-05 | Matsushita Electric Ind Co Ltd | 移動作業ロボット |
JP4429850B2 (ja) * | 2004-09-07 | 2010-03-10 | フィグラ株式会社 | 自走式作業ロボット |
JP3942586B2 (ja) * | 2003-12-02 | 2007-07-11 | 株式会社国際電気通信基礎技術研究所 | コミュニケーションロボット |
JP4517947B2 (ja) * | 2005-06-09 | 2010-08-04 | トヨタ自動車株式会社 | 接触センサシステム |
ATE442617T1 (de) * | 2005-12-02 | 2009-09-15 | Irobot Corp | Roboternavigationssystem mit autonomer abdeckung |
JP2007220020A (ja) * | 2006-02-20 | 2007-08-30 | Funai Electric Co Ltd | 自走式掃除機 |
JP2010102603A (ja) * | 2008-10-27 | 2010-05-06 | Panasonic Corp | 自走式掃除機 |
CN102038470B (zh) * | 2009-10-09 | 2013-02-27 | 泰怡凯电器(苏州)有限公司 | 自移动地面处理机器人及其贴边地面处理的控制方法 |
CN201572040U (zh) * | 2009-10-09 | 2010-09-08 | 泰怡凯电器(苏州)有限公司 | 自移动地面处理机器人 |
CN102039595B (zh) * | 2009-10-09 | 2013-02-27 | 泰怡凯电器(苏州)有限公司 | 自移动地面处理机器人及其贴边地面处理的控制方法 |
CN201602713U (zh) * | 2009-10-09 | 2010-10-13 | 泰怡凯电器(苏州)有限公司 | 自移动地面处理机器人 |
US8549826B2 (en) | 2011-07-25 | 2013-10-08 | Deere & Company | Robotic mower launch point system |
CN103251358A (zh) * | 2012-02-16 | 2013-08-21 | 恩斯迈电子(深圳)有限公司 | 扫地机器人的控制方法 |
CN103251354A (zh) * | 2012-02-16 | 2013-08-21 | 恩斯迈电子(深圳)有限公司 | 扫地机器人的控制方法 |
US9713303B2 (en) | 2013-02-21 | 2017-07-25 | Husqvarna Ab | Robotic working tool |
JPWO2015147149A1 (ja) * | 2014-03-28 | 2017-04-13 | ヤンマー株式会社 | 自律走行作業車両 |
US9798328B2 (en) * | 2014-10-10 | 2017-10-24 | Irobot Corporation | Mobile robot area cleaning |
JP5973610B1 (ja) * | 2015-03-27 | 2016-08-23 | 本田技研工業株式会社 | 無人作業車の制御装置 |
JP2017084069A (ja) * | 2015-10-27 | 2017-05-18 | 株式会社マキタ | 自走式集塵ロボット及び反射材、自走式集塵ロボットの走行制御方法 |
US11598112B2 (en) * | 2016-05-25 | 2023-03-07 | Maytronics Ltd. | Pool cleaner with drive motor navigation capabilities |
-
2016
- 2016-08-30 CN CN201610781395.2A patent/CN106272420B/zh active Active
-
2017
- 2017-05-04 KR KR1020207029547A patent/KR102209162B1/ko active IP Right Grant
- 2017-05-04 KR KR1020187032460A patent/KR102363572B1/ko active IP Right Grant
- 2017-05-04 WO PCT/CN2017/083111 patent/WO2018040607A1/zh unknown
- 2017-05-04 JP JP2018559944A patent/JP6707149B2/ja active Active
- 2017-05-04 EP EP17844915.3A patent/EP3486039A4/en active Pending
- 2017-05-04 EA EA201990623A patent/EA036345B1/ru not_active IP Right Cessation
-
2018
- 2018-12-30 US US16/236,559 patent/US11045060B2/en active Active
-
2021
- 2021-06-04 US US17/338,923 patent/US11771291B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007034866A (ja) * | 2005-07-29 | 2007-02-08 | Hitachi Appliances Inc | 移動体の走行制御方法及び自走式掃除機 |
JP2009301247A (ja) * | 2008-06-12 | 2009-12-24 | Hitachi Appliances Inc | 自律移動ロボットの仮想壁システム |
DE102008028931A1 (de) * | 2008-06-18 | 2009-12-24 | BSH Bosch und Siemens Hausgeräte GmbH | Verfahren und Vorrichtung zum Steuern einer Fahrbewegung eines Roboters, insbesondere eines Staubsammelroboters in einem Flächenbereich |
CN102138769A (zh) * | 2010-01-28 | 2011-08-03 | 深圳先进技术研究院 | 清洁机器人及其清扫方法 |
CN104898670A (zh) * | 2015-04-30 | 2015-09-09 | 深圳市普森斯科技有限公司 | 智能拖地系统及其控制方法 |
CN106272420A (zh) * | 2016-08-30 | 2017-01-04 | 北京小米移动软件有限公司 | 机器人及机器人控制方法 |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11525921B2 (en) | 2018-04-03 | 2022-12-13 | Sharkninja Operating Llc | Time of flight sensor arrangement for robot navigation and methods of localization using same |
WO2020191304A1 (en) | 2019-03-21 | 2020-09-24 | Sharkninja Operating Llc | Adaptive sensor array system and method |
US11442454B2 (en) | 2019-03-21 | 2022-09-13 | Sharkninja Operating Llc | Adaptive sensor array system and method |
EP3941322A4 (en) * | 2019-03-21 | 2022-12-28 | SharkNinja Operating LLC | ADAPTIVE SENSOR NETWORK SYSTEM AND METHOD |
CN112596508A (zh) * | 2019-08-29 | 2021-04-02 | 美智纵横科技有限责任公司 | 一种传感器的控制方法、装置及存储介质 |
CN110597253A (zh) * | 2019-09-05 | 2019-12-20 | 珠海市一微半导体有限公司 | 机器人的控制方法和芯片及激光式清洁机器人 |
CN110597253B (zh) * | 2019-09-05 | 2022-12-09 | 珠海一微半导体股份有限公司 | 机器人的控制方法和芯片及激光式清洁机器人 |
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CN106272420B (zh) | 2019-07-02 |
EP3486039A4 (en) | 2020-03-04 |
US11771291B2 (en) | 2023-10-03 |
KR102363572B1 (ko) | 2022-02-15 |
EA036345B1 (ru) | 2020-10-29 |
JP2019516199A (ja) | 2019-06-13 |
JP6707149B2 (ja) | 2020-06-10 |
EA201990623A1 (ru) | 2019-08-30 |
KR20200120966A (ko) | 2020-10-22 |
KR102209162B1 (ko) | 2021-01-29 |
EP3486039A1 (en) | 2019-05-22 |
US20190133402A1 (en) | 2019-05-09 |
US11045060B2 (en) | 2021-06-29 |
CN106272420A (zh) | 2017-01-04 |
KR20180133477A (ko) | 2018-12-14 |
US20210290024A1 (en) | 2021-09-23 |
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