CN109683619A - A kind of robot path planning method and system based on graph pararneterization - Google Patents

A kind of robot path planning method and system based on graph pararneterization Download PDF

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Publication number
CN109683619A
CN109683619A CN201910109784.4A CN201910109784A CN109683619A CN 109683619 A CN109683619 A CN 109683619A CN 201910109784 A CN201910109784 A CN 201910109784A CN 109683619 A CN109683619 A CN 109683619A
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China
Prior art keywords
robot
barrier
path
class
distribution map
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CN201910109784.4A
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王虹入
王中秋
孙玉婷
成文
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Oceanographic Instrumentation Research Institute Shandong Academy of Sciences
Institute of Oceanographic Instrumentation Shandong Academy of Sciences
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Oceanographic Instrumentation Research Institute Shandong Academy of Sciences
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Priority to CN201910109784.4A priority Critical patent/CN109683619A/en
Publication of CN109683619A publication Critical patent/CN109683619A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0214Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0219Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory ensuring the processing of the whole working surface

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  • Engineering & Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Manipulator (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The invention discloses a kind of robot path planning method and system based on graph pararneterization.Planing method includes: the distribution map that user draws current household according to pattern classification method for drafting, obtains household distribution map;The arbitrary point of layout of houses is determined as to the initial position of robot;The coordinate position of initial position in a room and starting walking path direction are determined according to household distribution map;According to the shape geometric dimension of distribution map and the robot, layout of houses is patterned decomposition and rasterizing is handled;Predefined planning track route, obtains preparatory programme path;Robot walks according to preparatory programme path, judges whether to touch barrier;When touching barrier along current path walking process, the constrained parameters of distribution map are corrected, obtain amendment constrained parameters;The strategy of walking in next step is determined according to amendment constrained parameters.Path planning means based on parametrization, human-computer interaction that is graphical, controllably changing, improve the flexibility of robot.

Description

A kind of robot path planning method and system based on graph pararneterization
Technical field
The present invention relates to robot fields, more particularly to a kind of robot path planning method based on graph pararneterization And system.
Background technique
Under complicated home environment, path planning target avoidance, intelligent decision problem can be realized robot for robot Identification, the obstacle judgement, intelligent planning avoidance of utonomous working state.In the prior art using the side based on touching detection modeling Method, any information in preparatory unknown room detect in walking by the sound, light, electric transducer of robot, traverse all rooms Between, it is all touch Obstacle Position after, touch points relative position information is recorded, when the mobile article position in room becomes After position/orientation is accidentally changed in change, the robot course of work, can not subsequent obstacle bring detecting parameter be changed and be changed Change behavior, External force interference factor connect, and can only change subsequent obstacle and treat as new complaint message, self can not repair immediately Just, and for the following room parameter solidification interference is brought.
In the prior art by the way of robot exploration, traverse scanning is carried out to home environment and establishes cleaning path Historical data, since diversity of family structure house type is different, initial modeling needs a large amount of time, needs repeatedly to the same family Environment carries out walking scanning, establishes database, and furniture that may be present in family, such as bed, sofa, stool are being actually used In the process it is issuable displacement, bottom temporarily exist the case where foreign matter cause road strength planning it is not perfect, only run by machine Passive touching in journey is responded, and is lacked and is actively coped with, cannot achieve instant self-recision.
Summary of the invention
The object of the present invention is to provide a kind of robot path rule based on graph pararneterization for capableing of instant self-recision Draw method and system.
To achieve the above object, the present invention provides following schemes:
A kind of robot path planning method based on graph pararneterization, the planing method include:
User draws the distribution map of current household according to pattern classification method for drafting, obtains household distribution map, described current The distribution map of household includes that the layout of houses of the current household and furniture are arranged in a room;
The arbitrary point of the layout of houses is determined as to the initial position of robot, the initial position is all paths rule The beginning and end drawn;
The coordinate position of the initial position in a room and starting walking path court are determined according to the household distribution map To;
According to the shape geometric dimension of the distribution map and the robot, the layout of houses is patterned decomposition With rasterizing processing, obtains and decompose image;
In the longest direction passed through in section according to close nearest wall for decomposing image as reference, predefine It plans track route, obtains preparatory programme path;
The robot walks according to preparatory programme path, and real-time detection direction of travel, travel distance, judges whether to touch Touch barrier;
When touching barrier along current path walking process, the constrained parameters of the distribution map are corrected, are repaired Positive constrained parameters;
The strategy of walking in next step is determined according to the amendment constrained parameters.
Optionally, the planing method further include:
During the robot ambulation, judge whether the preparatory planning path has all been covered, if so, institute State robot return to origin;Otherwise, it walks on;Judge whether the electricity of the robot is sufficient, if so, walk on, Otherwise, the robot return to origin;
After the robot return to origin, the graphic constraint number of domestic layout parameter in the distribution map, furniture is corrected According to library parameter.
Optionally, the user specifically includes according to the distribution map that pattern classification method for drafting draws current household:
The distribution map is divided into six classes by the pattern classification method for drafting;
The first kind is wall class figure, and the corresponding position in kind of the wall class figure is fixed, robot described in the position at place It not may pass through;
The first kind is that wall class figure is used to define accounting for for wall or the fixed household connecting with the wall The ground enveloping space;
The constrained parameters of the wall class figure include length, thickness, direction and starting point coordinate;
Second class is class figure, and the constrained parameters of the class figure include the coordinate of gate-width, Men Zhongxin on wall Position, door opening state;
Third class is bottomless furniture figure, and the bottomless furniture figure is that the robot can not be from the sky of outer profile envelope Between the internal furniture bottom category figure passed through, the constrained parameters of the bottomless furniture figure are outer profile size, centre coordinate;Institute Stating bottomless furniture figure is the land occupation enveloping space that solid line surrounds shape;
4th class is the household class figure that may pass through and can enter bottom, the pact of the household class figure that may pass through and can enter bottom Beam parameter is projection profile size, bottom terrain clearance, the distance all around of the nearest wall of centre distance, supporting leg relative graphical Distributing position;The household class figure that may pass through and can enter bottom is the land occupation enveloping space that dotted line surrounds shape, the supporting leg For the solid line enveloping space;
5th class is special foreign bodies figure, the constrained parameters of the special foreign bodies figure be shape envelope size, center away from From nearest wall all around with a distance from;The special foreign bodies figure is the land occupation enveloping space that solid line surrounds shape;
6th class is robot cradle figure, and the constrained parameters of the robot cradle figure are shape envelope ruler Very little, the nearest wall of centre distance distance all around, the starting direction of a relatively nearest sidewalls;
The robot cradle figure is the land occupation enveloping space that solid line surrounds shape.
Optionally, described when touching barrier along current path walking process, correct the constraint of the distribution map Parameter obtains amendment constrained parameters and specifically includes:
When the robot detects barrier, according to the current in a room coordinate position of the robot and known Layout of houses, parametrization constraint graphic data base in inquiry current location point occur barrier;
According to pattern classification define in definition to graph pararneterization, extract the attached constrained parameters of the barrier;
From the direction of the length of wall, wall is extracted in the wall class figure, when front wall is with respect to the position in room;
Door span is extracted from the class figure, door envelope movement trajectory line covers section, door opening and closing State;
Furniture projection profile shape, size, centre coordinate are extracted from the bottomless furniture figure;
Furniture projection profile size, supporting leg land occupation projection shape are extracted from the household class figure that may pass through and bottom can be entered Relative coordinate, whole supporting leg Geometric center coordinates between shape, supporting leg;
Shape envelope size, the coordinate of center in a room are extracted from the special foreign bodies figure;
Judge whether the barrier currently encountered is attached to the feature of known barrier, if so, by current barrier mark It is denoted as known barrier, and the constrained parameters of barrier, Geometric center coordinates during storage detection;
Again the robot and the touch points that the barrier walking path process occurs are planned, and returns to and did not walked Path walk on, complete non-travel region and continue to clean.
Optionally, the feature whether barrier that the judgement currently encounters is attached to known barrier specifically includes:
To long straight flange class along side length direction walk, by with long side vertical direction multi-point contact, detect side length and point Cloth direction, judges whether the side length and the distribution arrangement coincide with known side length and known distribution direction;
To arc-shaped side class along arc side continuous walking, the enveloping space is confirmed by touching, the arc boundary that determines whether to coincide is special Sign;
To supporting leg class by detecting around supporting leg space occupied rotary collision, space can be passed through by obtaining supporting leg periphery, be based on Furniture is associated with number of legs, azimuth distribution, detects remaining supporting leg that may be present nearby;3-4 supporting leg is at most detected, determination is The no bottom that meets can pass through furniture feature.
A kind of robot path planning's system based on graph pararneterization, the planning system include:
Classification drafting module, the distribution map of current household is drawn for user according to pattern classification method for drafting, obtains house Distribution map is occupied, the distribution map of the current household includes that the layout of houses of the current household and furniture are arranged in a room;
Initial position determining module, for the arbitrary point of the layout of houses to be determined as to the initial position of robot, institute State the beginning and end that initial position is all path plannings;
Coordinate position determining module, for determining the coordinate of the initial position in a room according to the household distribution map Position and starting walking path direction;
Picture breakdown module, for the shape geometric dimension according to the distribution map and the robot, by the house Layout is patterned decomposition and rasterizing processing, obtains and decomposes image;
Predefined planning track route module, for passing through in section according to close to nearest wall in the decomposition image The longest direction of wall obtains preparatory programme path as reference, predefined planning track route;
Barrier touches judgment module, walks for the robot according to preparatory programme path, and real-time detection is walked Direction, travel distance judge whether to touch barrier;
Correction module, for correcting the pact of the distribution map when touching barrier along current path walking process Beam parameter obtains amendment constrained parameters;
Next step Running strategy determining module, for determining the strategy of walking in next step according to the amendment constrained parameters.
Optionally, the correction module specifically includes:
Query unit, for when the robot detects barrier, currently in a room according to the robot Coordinate position and known layout of houses, the barrier that inquiry current location point occurs in parametrization constraint graphic data base;
Constrained parameters extraction unit extracts the barrier for the definition in defining according to pattern classification to graph pararneterization Hinder the attached constrained parameters of object;
Barrier feature judging unit, for judging whether the barrier currently encountered is attached to the spy of known barrier Sign, if so, being known barrier, and the constrained parameters of barrier, geometry during storage detection by current obstacle tag Centre coordinate;
Again planning unit, the touching occurred for planning the robot and the barrier walking path process again Point, and return to the path that do not walked and walk on, the non-travel region of completion continues to clean.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: this method discloses one kind Robot path planning method based on graph pararneterization, and room unit, indoor jewelry are patterned, digitizes and determines Justice: the object that can touch room and walking robot is established according to its outer profile with line segment (such as straight line, camber line) denumerable Digitlization measurement, i.e. the geometric envelope space of wire frame can be achieved in the geometric figure model of word description, room unit, indoor jewelry Indicate the space occupied of touching of works, line segment length represents dimension of object, and geometric center indicates object center, passes through center Relative to the offset of room modeling origin, the positional shift that can define object is mobile, and then realizes to room unit, indoor jewelry packet The graphical digital definition in network space.
By digitized graphic definition, room space occupied is divided, the barrier of all possible touchings corresponds to certain A specific figure, in practical walking process to obstacle detection result and digital figure define in the figure room phase Differentiation is constantly compared to parameters such as position, space occupied, land occupation directions, as the graphical of sweeping robot path walking Digital parameters constraint condition, in the practical walking process of robot, detection by acousto-optic electric transducer to barrier, to above-mentioned Position, the land occupation enveloping space, direction carry out practical judgement.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings Obtain other attached drawings.
Fig. 1 is the flow chart of the robot path planning method provided by the invention based on graph pararneterization;
Fig. 2 is provided by the invention described when touching barrier along current path walking process, and described point of amendment The flow chart of the constrained parameters of Butut;
Fig. 3 is the schematic diagram of class and wall figure;
Fig. 4 is schematic diagram of the door in wall state;
Fig. 5 is the schematic diagram of starting point identification;
Fig. 6 is walking amendment schematic diagram;
Fig. 7 is footpost identification judgement and the bypass route schematic diagram that can pass through bed.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
The object of the present invention is to provide a kind of robot path rule based on graph pararneterization for capableing of instant self-recision Draw method and system.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real Applying mode, the present invention is described in further detail.
As shown in Figure 1, the present invention provides a kind of robot path planning method based on graph pararneterization, the planning Method includes:
User draws the distribution map of current household according to pattern classification method for drafting, obtains household distribution map, described current The distribution map of household includes that the layout of houses of the current household and furniture are arranged in a room;
The arbitrary point of the layout of houses is determined as to the initial position of robot, the initial position is all paths rule The beginning and end drawn;
The coordinate position of the initial position in a room and starting walking path court are determined according to the household distribution map To;
According to the shape geometric dimension of the distribution map and the robot, the layout of houses is patterned decomposition With rasterizing processing, obtains and decompose image;Predefined planning track route, in a room, preferentially according to longest wall The parallel direction of length direction plans long " bow " type path, will can all pass through section covering by robot, for Robot can not by Interval Programming be dead zone, do not plan clean path.
In the longest direction passed through in section according to close nearest wall for decomposing image as reference, predefine It plans track route, obtains preparatory programme path;
The robot walks according to preparatory programme path, and real-time detection direction of travel, travel distance, judges whether to touch Touch barrier;In the process of walking, real-time detection records direction of travel, travel distance, the ginseng for whether touching barrier or boundary Number: walking direction can be detected by direction finding sensor, such as electronic compass;It is sensed by range sensor such as photoelectric non-contact type Rotary encoder of device, idler wheel or driving motor etc. detects travel distance;It is surveyed by laser, ultrasound, mechanical collision formula sensor The forward barrier that may be touched of amount.
When touching barrier along current path walking process, the constrained parameters of the distribution map are corrected, are repaired Positive constrained parameters;
The strategy of walking in next step is determined according to the amendment constrained parameters.
The planing method further include:
During the robot ambulation, judge whether the preparatory planning path has all been covered, if so, institute State robot return to origin;Otherwise, it walks on;Judge whether the electricity of the robot is sufficient, if so, walk on, Otherwise, the robot return to origin;
After the robot return to origin, the graphic constraint number of domestic layout parameter in the distribution map, furniture is corrected According to library parameter.
The user specifically includes according to the distribution map that pattern classification method for drafting draws current household:
The distribution map is divided into six classes by the pattern classification method for drafting;
The first kind is wall class figure, and the corresponding position in kind of the wall class figure is fixed, robot described in the position at place It not may pass through;
The first kind is that wall class figure is used to define accounting for for wall or the fixed household connecting with the wall The ground enveloping space;
The constrained parameters of the wall class figure include length, thickness, direction and starting point coordinate;
As shown in figure 3, the second class is class figure, the constrained parameters of the class figure include gate-width, Men Zhongxin in wall Coordinate position, door opening state on wall;The mobile class figure for belonging to wall auxiliary, robot may pass through after door is opened, and close It not may pass through afterwards, such figure, be the supplement and amendment to first kind figure, the entrance as room disengaging;Mainly by double Real segment and envelope movement trajectory line composition, as shown in figure 4, when robot goes to the space that an opening and closing can be interfered, with predetermined The door open and-shut mode of justice is that data basis is then compared with basic data once meeting with obstruction, and is carried out around space where door Scanning probe, confirms whether the specific open and-shut mode of door coincide with basic data, to determine the strategy cleaned around door, such as Men Shiji Open and-shut mode and predefined difference, then modify predefined data and continue to clean with the open and-shut mode currently detected.
Third class is bottomless furniture figure, and the bottomless furniture figure is that the robot can not be from the sky of outer profile envelope Between the internal furniture bottom category figure passed through, the constrained parameters of the bottomless furniture figure are outer profile size, centre coordinate;Institute Stating bottomless furniture figure is the land occupation enveloping space that solid line surrounds shape;Such as landing cabinet, refrigerator, air-conditioning bottom can be into Enter space, such figure mainly includes outer profile size (rectangle, circle, ellipse etc.), center (the type heart) two groups of constraints of coordinate Parameter.Such figure is surrounded the land occupation enveloping space of shape by solid line.
4th class is the household class figure that may pass through and can enter bottom, the pact of the household class figure that may pass through and can enter bottom Beam parameter is projection profile size, bottom terrain clearance, the distance all around of the nearest wall of centre distance, supporting leg relative graphical Distributing position;The household class figure that may pass through and can enter bottom is the land occupation enveloping space that dotted line surrounds shape, the supporting leg For the solid line enveloping space;
5th class is special foreign bodies figure, the constrained parameters of the special foreign bodies figure be shape envelope size, center away from From nearest wall all around with a distance from;The special foreign bodies figure is the land occupation enveloping space that solid line surrounds shape;Such as rubbish Basket, shoes, toy, other foreign matters etc., such figure is mainly by shape envelope size (rectangle, circle, ellipse etc.).
6th class is robot cradle figure, and the constrained parameters of the robot cradle figure are shape envelope ruler Very little, the nearest wall of centre distance distance all around, the starting direction of a relatively nearest sidewalls;
The robot cradle figure is the land occupation enveloping space that solid line surrounds shape.
As shown in Fig. 2, it is described when touching barrier along current path walking process, correct the pact of the distribution map Beam parameter obtains amendment constrained parameters and specifically includes:
When the robot detects barrier, according to the current in a room coordinate position of the robot and known Layout of houses, parametrization constraint graphic data base in inquiry current location point occur barrier;
According to pattern classification define in definition to graph pararneterization, extract the attached constrained parameters of the barrier;
From the direction of the length of wall, wall is extracted in the wall class figure, when front wall is with respect to the position in room;
Door span is extracted from the class figure, door envelope movement trajectory line covers section, door opening and closing State;
Furniture projection profile shape, size, centre coordinate are extracted from the bottomless furniture figure;
Furniture projection profile size, supporting leg land occupation projection shape are extracted from the household class figure that may pass through and bottom can be entered Relative coordinate, whole supporting leg Geometric center coordinates between shape, supporting leg;
Shape envelope size, the coordinate of center in a room are extracted from the special foreign bodies figure;
Judge whether the barrier currently encountered is attached to the feature of known barrier, if so, by current barrier mark It is denoted as known barrier, and the constrained parameters of barrier, Geometric center coordinates during storage detection;
Again the robot and the touch points that the barrier walking path process occurs are planned, and returns to and did not walked Path walk on, complete non-travel region and continue to clean.
The feature whether barrier that the judgement currently encounters is attached to known barrier specifically includes:
To long straight flange class along side length direction walk, by with long side vertical direction multi-point contact, detect side length and point Cloth direction, judges whether the side length and the distribution arrangement coincide with known side length and known distribution direction;
To arc-shaped side class along arc side continuous walking, the enveloping space is confirmed by touching, the arc boundary that determines whether to coincide is special Sign;
To supporting leg class by detecting around supporting leg space occupied rotary collision, space can be passed through by obtaining supporting leg periphery, be based on Furniture is associated with number of legs, azimuth distribution, detects remaining supporting leg that may be present nearby;3-4 supporting leg is at most detected, determination is The no bottom that meets can pass through furniture feature.
Starting point identification, as shown in Figure 5 and Figure 6, shown in partial enlargement, the walking of some prime direction of Robot.
As shown in figure 5, being suitable for the case where robot has lateral distance measuring sensor.Robot ambulation a distance is in place Set at 1, at the same lateral distance measuring sensor measure lateral wall at a distance from robot, then by vertical with walking path Direction walking touching, confirms wall;Then it reversely walks along with wall vertical direction at position 2, turns to right side and touch wall, Confirm wall parameter, the position 4 on the extended line in path 1 is then returned to through position 3, is opened according to the direction parallel with top wall Beginning continuous walking.
As shown in fig. 6, being suitable for the case where robot is without lateral distance measuring sensor.Robot is sensed without lateral ranging The case where device.Go to touching wall then backtracking position 1 from 1 turn 90 ° of position after a distance of passing by, along inceptive direction after It continues and goes to position 2, be then rotated by 90 ° touching wall, the in this way travel distance by position 1 towards wall and position 2 again It is made the difference towards the travel distance of wall, then seeks the ratio of the distance between the range difference and position 1-2, negated just to the ratio It cuts, calculates the deviation angle of inceptive direction wall parallel direction relatively above;When robot turns again to position 2, and along this A distance is continued to move ahead to position 3 in direction, is then rotated by 90 ° wall on the right side of collision, return position in reverse direction after collision 3, and continue to drill the direction 2-3, position 4 is moved towards, collision right side wall is then rotated by 90 °.In this way, passing through position 3, position respectively 4 make the difference towards the travel distance of right side wall, the ratio of the distance between the range difference and position 3-4 are then sought, to the ratio The angle beta that tangent of negating obtains should have β=α if two walls are vertical, if two wall out of plumb, pass through α's and β Difference calculates two angular relationships between the walls.After calculating wall direction, robot returns to 1 point of position, according to α Angle modification originates direction of travel to the new direction 2 parallel with top wall, then starts normal walking cleaning.
As shown in fig. 7, the footpost at bottom can be touched when some path of Robot is walked.As shown below from right side It walks to the left, footpost 1 can be touched.A footpost 1 should occur due to having been defined near the position a when modeling, at this time When touching, the constrained parameters attribute based on existing bed is differentiated.Into detection discrimination model, along footpost 1 according to b-c route It detours, then adjustment direction moves ahead along original path direction to footpost 2 again, and when due to bed modeling, the spacing between footpost 1-2 is Know, theoretically the distance between a-d should be equal to the spacing between 1-2;It detours from footpost 2 to footpost 3 and uses identical process, differentiate d- Whether distance is equal between g distance and footpost 2-3, if you need to further judge the positional relationship in combination with footpost 1-4, based on above-mentioned several The relevant parameter of a footpost differentiates comparison, judges footpost 1-2-3-4 and relevant dotted line overlay area for defined bed.Walking road Line presses normal predefined route planning, when encountering other footposts, completes footpost obstacle using similar detour strategy and detours.When After the whole that detoured footposts, in conjunction with the actual detection range of all footposts, distributing position, when to manual construction bed dimension model Distance, position deviation are modified, basic data when for cleaning next time.
A kind of robot path planning's system based on graph pararneterization, the planning system include:
Classification drafting module, the distribution map of current household is drawn for user according to pattern classification method for drafting, obtains house Distribution map is occupied, the distribution map of the current household includes that the layout of houses of the current household and furniture are arranged in a room;
Initial position determining module, for the arbitrary point of the layout of houses to be determined as to the initial position of robot, institute State the beginning and end that initial position is all path plannings;
Coordinate position determining module, for determining the coordinate of the initial position in a room according to the household distribution map Position and starting walking path direction;
Picture breakdown module, for the shape geometric dimension according to the distribution map and the robot, by the house Layout is patterned decomposition and rasterizing processing, obtains and decomposes image;
Predefined planning track route module, for passing through in section according to close to nearest wall in the decomposition image The longest direction of wall obtains preparatory programme path as reference, predefined planning track route;
Barrier touches judgment module, walks for the robot according to preparatory programme path, and real-time detection is walked Direction, travel distance judge whether to touch barrier;
Correction module, for correcting the pact of the distribution map when touching barrier along current path walking process Beam parameter obtains amendment constrained parameters;
Next step Running strategy determining module, for determining the strategy of walking in next step according to the amendment constrained parameters.
The correction module specifically includes:
Query unit, for when the robot detects barrier, currently in a room according to the robot Coordinate position and known layout of houses, the barrier that inquiry current location point occurs in parametrization constraint graphic data base;
Constrained parameters extraction unit extracts the barrier for the definition in defining according to pattern classification to graph pararneterization Hinder the attached constrained parameters of object;
Barrier feature judging unit, for judging whether the barrier currently encountered is attached to the spy of known barrier Sign, if so, being known barrier, and the constrained parameters of barrier, geometry during storage detection by current obstacle tag Centre coordinate;
Again planning unit, the touching occurred for planning the robot and the barrier walking path process again Point, and return to the path that do not walked and walk on, the non-travel region of completion continues to clean.
Beneficial effects of the present invention:
Operator by family structure, the family structure include: house type layout, mainly not chummery wall composition and The information such as range, door position, furniture position, length and width structure type and size in family, leg location, covering section bottom state, Mobile attribute etc. is predefined, and after definition, the figure of drafting is input to the control of sweeping robot path through man-machine interface In database processed, when sweeping robot is when being cleaned, based on predefined family's layout environments, passes through and bend zig-zag path rule It draws, according to sweeping area of robot, traverses the room of all draftings, the barrier of route and the graphic definition drawn in advance Whether joint then can pass through the intelligent automatic obstacle avoiding judgement of progress based on defined barrier, pass through practical track route It is compared with the route in the room of graphical digital definition, by the space occupied of actual measurement barrier, distance and position information, with The parameter association in predefined patterned room detects, side verifying, Bian Xiuzheng in walking, by cleaning in walking process Touching, video detection to corresponding home wall, furniture, compare one by one with predefined graphic parameter, not according to mobile attribute Together, to path and interferences are cleaned, the progress such as relative position, size, direction dynamic modification method in position is ginseng in a room respectively Numberization compares, what which position that theoretically robot goes to room should touch and all meet figure distribution, but can Can there are deviation or error, it is practical to walk, it is measured when walking, it, necessarily can be with specific object when detecting barrier or touching It product and its is connected in the distribution parameter in room, state, such as wall, tea table, bed, such as surveys parameter and modeling parameters by inclined Difference is then judged that current touch points do not meet some graphic feature, is joined according to mathematics library of the measured result to the figure Number is modified, such as modification centre coordinate, modification edge direction, modification side length.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said It is bright to be merely used to help understand method and its core concept of the invention;At the same time, for those skilled in the art, foundation Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not It is interpreted as limitation of the present invention.

Claims (7)

1. a kind of robot path planning method based on graph pararneterization, which is characterized in that the planing method includes:
User draws the distribution map of current household according to pattern classification method for drafting, obtains household distribution map, the current household Distribution map include that the layout of houses of the current household and furniture are arranged in a room;
The arbitrary point of the layout of houses is determined as to the initial position of robot, the initial position is all path plannings Beginning and end;
The coordinate position of the initial position in a room and starting walking path direction are determined according to the household distribution map;
According to the shape geometric dimension of the distribution map and the robot, the layout of houses is patterned decomposition and grid It formats processing, obtains and decompose image;
Reference, predefined planning are used as according to close to the longest direction of nearest wall in the passing through in section for decomposition image Track route obtains preparatory programme path;
The robot walks according to preparatory programme path, and real-time detection direction of travel, travel distance, judges whether touching barrier Hinder object;
When touching barrier along current path walking process, the constrained parameters of the distribution map are corrected, obtain amendment about Beam parameter;
The strategy of walking in next step is determined according to the amendment constrained parameters.
2. a kind of robot path planning method based on graph pararneterization according to claim 1, which is characterized in that institute State planing method further include:
During the robot ambulation, judge whether the preparatory planning path has all been covered, if so, the machine Device people's return to origin;Otherwise, it walks on;Judge whether the electricity of the robot is sufficient, if so, walk on, otherwise, The robot return to origin;
After the robot return to origin, the graphic constraint database of domestic layout parameter in the distribution map, furniture is corrected Parameter.
3. a kind of robot path planning method based on graph pararneterization according to claim 1, which is characterized in that institute User is stated to be specifically included according to the distribution map that pattern classification method for drafting draws current household:
The distribution map is divided into six classes by the pattern classification method for drafting;
The first kind is wall class figure, and the corresponding position in kind of the wall class figure is fixed, and robot described in the position at place can not It passes through;
The first kind is the land occupation packet that wall class figure is used to define wall or the fixed household connecting with the wall Network space;
The constrained parameters of the wall class figure include length, thickness, direction and starting point coordinate;
Second class is class figure, the constrained parameters of the class figure include coordinate position on wall of gate-width, Men Zhongxin, Door opening state;
Third class is bottomless furniture figure, and the bottomless furniture figure is that the robot can not be out of, outer profile envelope space The furniture bottom category figure that portion passes through, the constrained parameters of the bottomless furniture figure are outer profile size, centre coordinate;The nothing Bottom furniture figure is the land occupation enveloping space that solid line surrounds shape;
4th class is the household class figure that may pass through and can enter bottom, the constraint ginseng of the household class figure that may pass through and can enter bottom Number is projection profile size, bottom terrain clearance, the distance all around of the nearest wall of centre distance, the distribution of supporting leg relative graphical Position;The household class figure that may pass through and can enter bottom is the land occupation enveloping space that dotted line surrounds shape, and the supporting leg is real The line enveloping space;
5th class is special foreign bodies figure, the constrained parameters of the special foreign bodies figure be shape envelope size, centre distance most The distance all around of nearly wall;The special foreign bodies figure is the land occupation enveloping space that solid line surrounds shape;
6th class is robot cradle figure, the constrained parameters of the robot cradle figure be shape envelope size, in All around distance, the starting direction of a relatively nearest sidewalls of the heart apart from nearest wall;
The robot cradle figure is the land occupation enveloping space that solid line surrounds shape.
4. a kind of robot path planning method based on graph pararneterization according to claim 3, which is characterized in that institute The constrained parameters for correcting the distribution map when touching barrier along current path walking process are stated, amendment constraint is obtained Parameter specifically includes:
When the robot detects barrier, according to the coordinate position and known room of the robot currently in a room Room layout, the barrier that inquiry current location point occurs in parametrization constraint graphic data base;
According to pattern classification define in definition to graph pararneterization, extract the attached constrained parameters of the barrier;
From the direction of the length of wall, wall is extracted in the wall class figure, when front wall is with respect to the position in room;
Door span is extracted from the class figure, door envelope movement trajectory line covers section, door open and-shut mode;
Furniture projection profile shape, size, centre coordinate are extracted from the bottomless furniture figure;
From it is described may pass through and can enter to extract in the household class figure at bottom furniture projection profile size, supporting leg land occupation projection of shape, Relative coordinate, whole supporting leg Geometric center coordinates between supporting leg;
Shape envelope size, the coordinate of center in a room are extracted from the special foreign bodies figure;
Judge whether the barrier currently encountered is attached to the feature of known barrier, if so, being by current obstacle tag Known barrier, and the constrained parameters of barrier, Geometric center coordinates during storage detection;
Again the robot and the touch points that the barrier walking path process occurs are planned, and returns to the road that do not walked Diameter walks on, and the non-travel region of completion continues to clean.
5. a kind of robot path planning method based on graph pararneterization according to claim 4, which is characterized in that institute It states the barrier that currently encounters of judgement and whether is attached to the feature of known barrier and specifically include:
Walk to long straight flange class along side length direction, by with long side vertical direction multi-point contact, detect side length and distribution side To judging whether the side length and the distribution arrangement coincide with known side length and known distribution direction;
To arc-shaped side class along arc side continuous walking, the enveloping space is confirmed by touching, determines whether the arc boundary characteristic that coincide;
To supporting leg class by detecting around supporting leg space occupied rotary collision, space can be passed through by obtaining supporting leg periphery, be based on furniture It is associated with number of legs, azimuth distribution, detects remaining supporting leg that may be present nearby;At most 3-4 supporting leg of detection, it is determined whether symbol Furniture feature can be passed through by closing bottom.
6. a kind of robot path planning's system based on graph pararneterization, which is characterized in that the planning system includes:
Classification drafting module, the distribution map of current household is drawn for user according to pattern classification method for drafting, obtains household point Butut, the distribution map of the current household include that the layout of houses of the current household and furniture are arranged in a room;
Initial position determining module, for the arbitrary point of the layout of houses to be determined as to the initial position of robot, described Beginning position is the beginning and end of all path plannings;
Coordinate position determining module, for determining the coordinate position of the initial position in a room according to the household distribution map With starting walking path direction;
Picture breakdown module, for the shape geometric dimension according to the distribution map and the robot, by the layout of houses It is patterned decomposition and rasterizing processing, obtains and decomposes image;
Predefined planning track route module, for passing through in section according to close to nearest wall in the decomposition image Longest direction obtains preparatory programme path as reference, predefined planning track route;
Barrier touches judgment module, walks for the robot according to preparatory programme path, and real-time detection direction of travel, Travel distance judges whether to touch barrier;
Correction module, the constraint for when touching barrier along current path walking process, correcting the distribution map are joined Number obtains amendment constrained parameters;
Next step Running strategy determining module, for determining the strategy of walking in next step according to the amendment constrained parameters.
7. a kind of robot path planning's system based on graph pararneterization according to claim 6, which is characterized in that institute Correction module is stated to specifically include:
Query unit, for when the robot detects barrier, according to the coordinate of the robot currently in a room Position and known layout of houses, the barrier that inquiry current location point occurs in parametrization constraint graphic data base;
Constrained parameters extraction unit extracts the barrier for the definition in defining according to pattern classification to graph pararneterization Attached constrained parameters;
Barrier feature judging unit, for judging whether the barrier currently encountered is attached to the feature of known barrier, such as Fruit is, is known barrier by current obstacle tag, and the constrained parameters of barrier, geometric center are sat during storage detection Mark;
Again planning unit, the touch points occurred for planning the robot and the barrier walking path process again, And return to the path that do not walked and walk on, the non-travel region of completion continues to clean.
CN201910109784.4A 2019-02-11 2019-02-11 A kind of robot path planning method and system based on graph pararneterization Withdrawn CN109683619A (en)

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CN111399513A (en) * 2020-03-27 2020-07-10 拉扎斯网络科技(上海)有限公司 Robot motion planning method and device, electronic equipment and storage medium
CN112068445A (en) * 2020-09-23 2020-12-11 北京理工大学 Integrated control method and system for path planning and path tracking of automatic driving vehicle
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CN111256722A (en) * 2020-02-28 2020-06-09 广东博智林机器人有限公司 Path planning method, device, equipment and storage medium
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CN111399513A (en) * 2020-03-27 2020-07-10 拉扎斯网络科技(上海)有限公司 Robot motion planning method and device, electronic equipment and storage medium
CN111399513B (en) * 2020-03-27 2023-09-19 拉扎斯网络科技(上海)有限公司 Robot motion planning method, apparatus, electronic device and storage medium
CN112068445A (en) * 2020-09-23 2020-12-11 北京理工大学 Integrated control method and system for path planning and path tracking of automatic driving vehicle
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CN112617672A (en) * 2020-12-16 2021-04-09 美的集团股份有限公司 Sweeping method and device of sweeping robot
CN113377097A (en) * 2021-01-25 2021-09-10 杭州易享优智能科技有限公司 Path planning and obstacle avoidance method for blind person guide
CN113377097B (en) * 2021-01-25 2023-05-05 杭州易享优智能科技有限公司 Path planning and obstacle avoidance method for blind guiding of visually impaired people
CN114505269A (en) * 2022-02-18 2022-05-17 国网电子商务有限公司 Photovoltaic module waterless cleaning robot and control method thereof
CN117193278A (en) * 2022-05-31 2023-12-08 深圳市普渡科技有限公司 Method, apparatus, computer device and storage medium for dynamic edge path generation

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