CN107943038A - A kind of mobile robot embedded laser SLAM method and system - Google Patents

A kind of mobile robot embedded laser SLAM method and system Download PDF

Info

Publication number
CN107943038A
CN107943038A CN201711215477.1A CN201711215477A CN107943038A CN 107943038 A CN107943038 A CN 107943038A CN 201711215477 A CN201711215477 A CN 201711215477A CN 107943038 A CN107943038 A CN 107943038A
Authority
CN
China
Prior art keywords
mobile robot
map
embedded
robot
slam
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711215477.1A
Other languages
Chinese (zh)
Inventor
何苗
郑富瑜
熊德平
王成民
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong University of Technology
Original Assignee
Guangdong University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong University of Technology filed Critical Guangdong University of Technology
Priority to CN201711215477.1A priority Critical patent/CN107943038A/en
Publication of CN107943038A publication Critical patent/CN107943038A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0257Control of position or course in two dimensions specially adapted to land vehicles using a radar
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G05D1/0274Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device

Abstract

This application discloses a kind of mobile robot embedded laser SLAM method and system, including:Robot operating system is built in embedded board in mobile robot;PC is connected remotely to by embedded board by wireless network, input order starts robot operating system, robotically-driven circuit board and laser radar;By laser radar, embedded board, Inertial Measurement Unit, direct current generator and magnetism encoder, sensing data is obtained;The establishment of map is carried out by the SLAM algorithms in sensing data combination embedded board, and is uploaded to PC;The map created by PC observation, and map is preserved.Since the application has built robot operating system in embedded board, after network connection, SLAM algorithms can be allow directly to run wherein, and then reduce the cost of mobile robot, system flexibility is improved, while makes the realization of SLAM more stable, directly perceived.

Description

A kind of mobile robot embedded laser SLAM method and system
Technical field
The present invention relates to mobile robot technology field, more particularly to a kind of mobile robot embedded laser SLAM side Method and system.
Background technology
In recent years, mobile robot technology with the continuous development of scientific technology, constantly widens the application field of robot, Society is also constantly being lifted for the demand of mobile robot, and mobile robot gradually incorporates industry, family expenses, commercialization, doctor Role in the daily lifes such as treatment, service, security, the functional requirement to mobile robot are also continuously increased, and technical indicator is therewith Lifting.
Immediately positioning and structure map (simultaneous localization and mapping, SLAM) technology are Mobile robot realizes the key of independent navigation, in circumstances not known, surrounding is detected by sensor, constructs environment Map, positions robot, so as to navigate with reference to the real-time map that sensor generates.In the research process of SLAM In, the problem of sensor is unstable, is increasingly apparent, and researcher has found that visual sensor is easily affected by the ambient, and And it is computationally intensive, but if during using PC (PC) as computation processor, equivalent to improving hardware configuration, and only taking up The function of PC very small parts, causes function waste and cost increase.
In addition, robot operating system (Robot Operating System, ROS) is that robot software's operation is flat Platform, predecessor is by Stanford University artificial intelligence study institute (Stanford Artificial Intelligence Laboratory) researched and developed.Since SLAM can not directly be run in ROS, and when realizing algorithm by PC, do not deliver efficiently Computer resource, produces the wasting of resources, while reduces the flexibility of mobile-robot system.
The content of the invention
In view of this, it is an object of the invention to provide a kind of mobile robot embedded laser SLAM method and system, The cost of mobile robot can be reduced, improves system flexibility, while makes the realization of SLAM more stable, directly perceived.Its is specific Scheme is as follows:
A kind of mobile robot embedded laser SLAM methods, including:
Robot operating system is built in embedded board in the mobile robot;
PC is connected remotely to by the embedded board by wireless network, input order starts the machine People's operating system, the robotically-driven circuit board in the mobile robot, and the laser installed in the mobile robot Radar;
By the laser radar, the embedded board, the inertia measurement list in the robotically-driven circuit board Member, and the direct current generator and magnetism encoder being connected with the robotically-driven circuit board, obtain sensing data;
The wound of map is carried out with reference to the SLAM algorithms in the embedded board by the sensing data of acquisition Build, and be uploaded to the PC;
The map created by PC observation, and the map is preserved.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, institute is passed through State laser radar, the embedded board, the Inertial Measurement Unit in the robotically-driven circuit board, and with the machine The direct current generator and magnetism encoder of device people drive circuit board connection, obtain sensing data, specifically include:
Gather the topography and geomorphology situation of the indoor and outdoor surroundings where the mobile robot in real time by the laser radar, Carry out the extraction of data;
The odometer being made up of direct current generator and magnetism encoder is to the indoor and outdoor surroundings where the mobile robot Positioning and displacement, carry out the extraction of data;
Collected by the Inertial Measurement Unit in the robotically-driven circuit board and the embedded board described sharp Optical radar and the odometer extraction data go forward side by side row information fusion, obtain sensing data.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, by obtaining The sensing data taken carries out the establishment of map with reference to the SLAM algorithms in the embedded board, specifically includes:
The closest approach iteration SLAM in mobile robot program-ming Toolbox function library is transplanted in the embedded board Algorithm;
The sensor number using the robot operating system by the closest approach iteration SLAM algorithms to acquisition According to being handled;
Leave out image displaying part in the robot operating system, adjustment matching way matches for grid map, generation Grating map, and the track added in the robot operating system is shown.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, institute is used State robot operating system to handle the sensing data of acquisition by the closest approach iteration SLAM algorithms, specifically Including:
The sensor number using the robot operating system by the closest approach iteration SLAM algorithms to acquisition According to being scanned and matching, the motion change matrix of the mobile robot is solved;The motion change matrix includes rotation Matrix and translation matrix;
Meanwhile real time kinematics track, self poisoning and the environment distribution of robot are calculated, carry out reflecting for grating map Penetrate.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, generating During grating map, specifically further include:
The sensing data is verified using the embedded board;
When the data of odometer extraction show that the displacement of the mobile robot is less than given threshold, edge uses one The grating map of secondary generation.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, described The robot operating system is installed in people's computer;
The internetwork connection mode of the PC and the embedded board uses the robot operating system Slave method;
The embedded board is as slave;The PC is as host;The sensing data passes through described Host is shown.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, institute is passed through The map that PC observation creates is stated, is specifically included:
Combine to carry using RVIZ image display interfaces on robot operating system platform in the PC and comment Estimate the map that instrument is observed establishment.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, to described Map is preserved, and is specifically included:
The map is preserved using the map conserving appliance installed in the robot operating system, simultaneously for The threshold value of three kinds of colors of black-white-gray is adjusted respectively in the map preserved.
Preferably, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, the shifting The DC power supply of mobile robot is directly connected to the robotically-driven plate;
Voltage conversion is carried out by the robotically-driven plate, the embedded board, direct current generator and magnetoelectricity are encoded Device is powered;
The laser radar is powered by the embedded board.
The embodiment of the present invention additionally provides a kind of mobile robot embedded laser SLAM systems, including:
System building module, for building robot manipulation system in the embedded board in the mobile robot System;
Network connecting module, it is defeated for PC to be connected remotely to the embedded board by wireless network Enter order and start the robot operating system, the robotically-driven circuit board in the mobile robot, and the movement The laser radar installed in robot;
Data acquisition module, for passing through the laser radar, the embedded board, the robotically-driven circuit Inertial Measurement Unit in plate, and the direct current generator and magnetism encoder being connected with the robotically-driven circuit board, obtain Sensing data;
Map building module, for the sensing data by acquisition with reference to the SLAM in the embedded board Algorithm carries out the establishment of map, and is uploaded to the PC;
Map preserving module, carries out for the map created by PC observation, and to the map Preserve
A kind of mobile robot embedded laser SLAM method and system provided by the present invention, including:In mobile machine Robot operating system is built in embedded board in people;PC is connected remotely to by wireless network embedded Development board, input, which is ordered, starts robot operating system, the robotically-driven circuit board in mobile robot, and mobile machine The laser radar installed on people;By laser radar, embedded board, the inertia measurement list in robotically-driven circuit board Member, and the direct current generator and magnetism encoder being connected with robotically-driven circuit board, obtain sensing data;Pass through acquisition SLAM algorithms in sensing data combination embedded board carry out the establishment of map, and are uploaded to PC;By a The map that the observation of people's computer creates, and map is preserved.Since the application has built robot in embedded board Operating system, after network connection, can be such that SLAM algorithms directly run wherein, so reduce mobile robot into This, improves system flexibility, while makes the realization of SLAM more stable, directly perceived.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this The embodiment of invention, for those of ordinary skill in the art, without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is mobile robot embedded laser SLAM method flow diagrams provided in an embodiment of the present invention;
Fig. 2 is the relation schematic diagram for each node issued in robot operating system provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work Embodiment, belongs to the scope of protection of the invention.
The present invention provides a kind of mobile robot embedded laser SLAM methods, as shown in Figure 1, comprising the following steps:
Robot operating system is built in S101, the embedded board in mobile robot;
S102, by wireless network be connected remotely to embedded board by PC, and input order starts robot Operating system, the robotically-driven circuit board in mobile robot, and the laser radar installed in mobile robot;
S103, by laser radar, embedded board, the Inertial Measurement Unit in robotically-driven circuit board, and The direct current generator and magnetism encoder being connected with robotically-driven circuit board, obtain sensing data;
S104, the establishment by the SLAM algorithms progress map in the sensing data combination embedded board of acquisition, And it is uploaded to PC;
S105, the map created by PC observation, and map is preserved.
In above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, first in mobile machine Robot operating system is built in embedded board in people;Then PC is connected remotely to by wireless network embedding Enter formula development board, input, which is ordered, starts robot operating system, the robotically-driven circuit board in mobile robot, and mobile The laser radar installed in robot;Afterwards by laser radar, embedded board, the inertia in robotically-driven circuit board Measuring unit, and the direct current generator and magnetism encoder being connected with robotically-driven circuit board, obtain sensing data;Then The establishment of map is carried out by the SLAM algorithms in the sensing data combination embedded board of acquisition, and is uploaded to personal electricity Brain;The map created finally by PC observation, and map is preserved.By above-mentioned five steps, embedded Robot operating system has been built in development board, after network connection, SLAM algorithms can have been allow directly to run wherein, obtained Sensing data is taken, positioning in real time and structure map, finally observation can meet robot certainly with preserving map, the map of generation The demand of leading boat, improves system flexibility, while makes the realization of SLAM more stable, directly perceived, and cost and hardware configuration will Ask and substantially reduce.
It should be noted that mobile robot used in the present invention can use the mobile robot of two-wheel drive small Car, hardware configuration can mainly include anti-pulley, universal wheel, DC power supply, direct current generator, and magnetism encoder is robotically-driven Circuit board, embedded board, laser radar.Wherein, direct current generator and magnetism encoder, form the mileage of mobile robot Meter, the reading of SLAM algorithm combination encoders can position robot;Robotically-driven circuit board, including stm32 (32 8-digit microcontrollers of STMicroelectronics), voltage conversion circuit, Inertial Measurement Unit (Inertial Measurement unit, IMU) and special functional module, driven for direct current generator, while be directly connected to DC power supply, Multiple and different output power supply interfaces are provided for mobile robot;Embedded board, by 64 four core ARM (Acorn RISC Machine) microprocessor, a variety of peripheral interface circuits and wireless network circuit composition, the structure is by SLAM algorithms to receiving To sensing data handled.
In the specific implementation, voltage conversion is carried out by robotically-driven plate, to embedded board, direct current generator and magnetoelectricity Encoder is powered;Laser radar is powered by embedded board.
Further, in the specific implementation, in above-mentioned mobile robot embedded laser provided in an embodiment of the present invention In SLAM methods, step S103 is by laser radar, embedded board, the inertia measurement list in robotically-driven circuit board Member, and the direct current generator and magnetism encoder being connected with robotically-driven circuit board, obtain sensing data, can specifically wrap Include following steps:
Step 1: the topography and geomorphology situation of the indoor and outdoor surroundings where gathering mobile robot in real time by laser radar, Carry out the extraction of data;
Step 2: the odometer being made up of direct current generator and magnetism encoder is to the indoor outer shroud where mobile robot The positioning and displacement in border, carry out the extraction of data;
Step 3: laser radar is collected by the Inertial Measurement Unit in robotically-driven circuit board and embedded board With odometer extraction data go forward side by side row information fusion, obtain sensing data.
It should be noted that step 1 and step 2 in no particular order order, do not limit herein.
Further, in the specific implementation, in above-mentioned mobile robot embedded laser provided in an embodiment of the present invention In SLAM methods, the SLAM algorithms in the sensing data combination embedded board that step S104 passes through acquisition carry out map Create, specifically may comprise steps of:
First, the closest approach iteration SLAM in mobile robot program-ming Toolbox function library is transplanted in embedded board Algorithm;
Then, using robot operating system by closest approach iteration SLAM algorithms to the sensing data of acquisition at Reason;
Finally, image displaying part is left out in robot operating system, adjustment matching way matches for grid map, generation Grating map, and the track added in robot operating system is shown.
In above-mentioned steps, SLAM algorithms use transplanting mobile robot program-ming Toolbox (Mobile Robot Programming Toolkit, MRPT) closest approach iteration (Iterative Closest Point, ICP) in function library SLAM algorithms, advantage are quick, accurate, and ICP-SLAM algorithms are improved and optimized, it is embedded to be transplanted to mobile robot In development board (such as Raspberry Pi three generations), SLAM is finally realized, reduces the central processing unit (Central of algorithm operation Processing Unit, CPU) occupancy, the speed of service of algorithm is improved, mobile robot is greatly reduced and realizes SLAM Hardware configuration wants the cost of summation device.Also, on the basis of accurate rate is ensured, by by existing origin cloud atlas match party Formula is modified as grid map matching, removes ICP-SLAM real-time displays interface, reduces demand of the algorithm to CPU calculation amounts, shortens Algorithm operation is time-consuming.
It should be noted that robot operating system can establish node manager, checked from order line client specific The message data that theme is constantly issued, the effective reusability for lifting code.Robot operating system includes various development tools Program and library, can allow the process real-time display of SLAM and more directly perceived, and robot operating system supports multilingual Design, such as C++, Python, Java etc..
Fig. 2 shows the relation schematic diagram for each node issued in robot operating system, and specifically, mobile robot opens When dynamic, the robotically-driven circuit board of bottom, nodename turtlebot3_ can be started first in robot operating system Core, which can carry out the data of encoder format conversion, and numerical nomenclature is issued for odom, by mrpt_ Icp_slam_live_2d nodes are responsible for reception, and the data of laser radar are then to be responsible for collection simultaneously by rplidarNode nodes Issued with the theme of entitled scan, reception, the fortune of SLAM algorithms are equally responsible for by mrpt_icp_slam_live_2d nodes Row by mentioned earlier be responsible for by mrpt_icp_slam_live_2d nodes, which receives the number for coming self-encoding encoder and laser radar According to afterwards, ICP-SLAM algorithms are run, construct the real time kinematics grating map of mobile robot, and add complete movement rail Mark.
Further, in the specific implementation, in above-mentioned mobile robot embedded laser provided in an embodiment of the present invention In SLAM methods, using robot operating system by closest approach iteration SLAM algorithms to the sensing data of acquisition at Reason, can specifically include:
By closest approach iteration SLAM algorithms the sensing data of acquisition is scanned using robot operating system and Matching, solves the motion change matrix of mobile robot;Motion change matrix includes spin matrix and translation matrix;Meanwhile Real time kinematics track, self poisoning and the environment distribution of robot are calculated, carries out the mapping of grating map.
Specifically, by the continuous iteration of adjacent two frames grating map data, the ICP- that is run in embedded board The data that SLAM algorithms gather laser radar are matched with environment, and are tested to the reading of magnetism encoder, no It is scanned and matches disconnectedly, it can be deduced that the motion change matrix of mobile robot, including spin matrix and translation matrix;It is logical Surrounding environment combination sensing data can be carried out the mapping of grating map by crossing ICP-SLAM algorithms, constantly incrementally be carried out real Shi Dingwei and synchronous structure map.
In the specific implementation, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, In order to further reduce the occupation rate of CPU, during grating map is generated, specifically further include:Use embedded board Sensing data is verified;When the data of odometer extraction show that the displacement of mobile robot is less than given threshold, edge With the grating map of last time generation.
In the specific implementation, in above-mentioned mobile robot embedded laser SLAM methods provided in an embodiment of the present invention, In order to further improve the speed of service, robot operating system can be installed in PC and embedded board;It is a The internetwork connection mode of people's computer and embedded board uses the slave method of robot operating system;Embedded board As slave;PC is as host;Sensing data is shown by host.In addition, PC can use Safety shell protocol (Secure Shell, the ssh) function of being installed in linux system carries out login embedded system, by this Function carries out the control of robot using order line terminal.
Further, in the specific implementation, in above-mentioned mobile robot embedded laser provided in an embodiment of the present invention In SLAM methods, in order to not only meet present robot research trend, but also the layout of actual environment is more intuitively reflected, led to The map that PC observation creates is crossed, can specifically be included:Used on robot operating system platform in PC RVIZ image display interfaces combine and carry the map that assessment tool is observed establishment.
Further, in the specific implementation, in above-mentioned mobile robot embedded laser provided in an embodiment of the present invention In SLAM methods, in order to make map generation more directly perceived, when being preserved to map, it can specifically include:Use robot The map conserving appliance installed in operating system preserves map, simultaneously for three kinds of colors of black-white-gray in the map of preservation Threshold value be adjusted respectively.
Based on same inventive concept, the embodiment of the present invention additionally provides a kind of mobile robot embedded laser SLAM systems System, should since the principle that the system solves the problems, such as is similar to a kind of foregoing mobile robot embedded laser SLAM methods The implementation of system may refer to the implementation of mobile robot embedded laser SLAM methods, and overlaps will not be repeated.
In the specific implementation, mobile robot embedded laser SLAM systems provided in an embodiment of the present invention, specifically include:
System building module, for building robot operating system in the embedded board in mobile robot;
Network connecting module, for PC to be connected remotely to embedded board, input life by wireless network Make and start robot operating system, the robotically-driven circuit board in mobile robot, and what is installed in mobile robot are swashed Optical radar;
Data acquisition module, for by laser radar, embedded board, the inertia in robotically-driven circuit board is surveyed Unit, and the direct current generator and magnetism encoder being connected with robotically-driven circuit board are measured, obtains sensing data;
Map building module, carries out for the SLAM algorithms in the sensing data combination embedded board by acquisition The establishment of map, and it is uploaded to PC;
Map preserving module, for the map created by PC observation, and preserves map.
In above-mentioned mobile robot embedded laser SLAM systems provided in an embodiment of the present invention, pass through above-mentioned five moulds The interaction of block, can reduce mobile robot and realize that SLAM hardware configurations want the cost of summation device, it is flexible to improve system Property, while make the realization of SLAM more stable, directly perceived.
A kind of mobile robot embedded laser SLAM method and system provided in an embodiment of the present invention, including:In movement Robot operating system is built in embedded board in robot;PC is connected remotely to by wireless network embedding Enter formula development board, input, which is ordered, starts robot operating system, the robotically-driven circuit board in mobile robot, and mobile The laser radar installed in robot;By laser radar, embedded board, the inertia measurement in robotically-driven circuit board Unit, and the direct current generator and magnetism encoder being connected with robotically-driven circuit board, obtain sensing data;Pass through acquisition Sensing data combination embedded board in SLAM algorithms carry out the establishment of map, and be uploaded to PC;Pass through The map that PC observation creates, and map is preserved.Since the application has built machine in embedded board People's operating system, after network connection, can be such that SLAM algorithms directly run wherein, and then reduce mobile robot Cost, improves system flexibility, while makes the realization of SLAM more stable, directly perceived.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or order.Moreover, term " comprising ", "comprising" or its any other variant meaning Covering non-exclusive inclusion, so that process, method, article or equipment including a series of elements not only include that A little key elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged Except also there are other identical element in the process, method, article or apparatus that includes the element.
Mobile robot embedded laser SLAM method and system provided by the present invention are described in detail above, Specific case used herein is set forth the principle of the present invention and embodiment, and the explanation of above example is simply used Understand the method and its core concept of the present invention in help;Meanwhile for those of ordinary skill in the art, according to the present invention's Thought, there will be changes in specific embodiments and applications, in conclusion this specification content should not be construed as Limitation of the present invention.

Claims (10)

  1. A kind of 1. mobile robot embedded laser SLAM methods, it is characterised in that including:
    Robot operating system is built in embedded board in the mobile robot;
    PC is connected remotely to by the embedded board by wireless network, input order starts the robot behaviour Make system, the robotically-driven circuit board in the mobile robot, and the laser radar installed in the mobile robot;
    By the laser radar, the embedded board, the Inertial Measurement Unit in the robotically-driven circuit board, with And the direct current generator and magnetism encoder being connected with the robotically-driven circuit board, obtain sensing data;
    The establishment of map is carried out with reference to the SLAM algorithms in the embedded board by the sensing data of acquisition, and It is uploaded to the PC;
    The map created by PC observation, and the map is preserved.
  2. 2. mobile robot embedded laser SLAM methods according to claim 1, it is characterised in that pass through the laser Radar, the embedded board, the Inertial Measurement Unit in the robotically-driven circuit board, and driven with the robot The direct current generator and magnetism encoder of dynamic circuit board connection, obtain sensing data, specifically include:
    Gather the topography and geomorphology situation of the indoor and outdoor surroundings where the mobile robot in real time by the laser radar, carry out The extraction of data;
    The odometer being made up of direct current generator and magnetism encoder determines the indoor and outdoor surroundings where the mobile robot Position and displacement, carry out the extraction of data;
    The laser thunder is collected by the Inertial Measurement Unit in the robotically-driven circuit board and the embedded board Up to the data extracted with the odometer go forward side by side row information fusion, obtain sensing data.
  3. 3. mobile robot embedded laser SLAM methods according to claim 2, it is characterised in that pass through the institute of acquisition The establishment that sensing data carries out map with reference to the SLAM algorithms in the embedded board is stated, is specifically included:
    The closest approach iteration SLAM algorithms in mobile robot program-ming Toolbox function library are transplanted in the embedded board;
    Using the robot operating system by the closest approach iteration SLAM algorithms to the sensing data of acquisition into Row processing;
    Leave out image displaying part in the robot operating system, adjustment matching way matches for grid map, generates grid Map, and the track added in the robot operating system is shown.
  4. 4. mobile robot embedded laser SLAM methods according to claim 3, it is characterised in that use the machine People's operating system is handled the sensing data of acquisition by the closest approach iteration SLAM algorithms, is specifically included:
    Using the robot operating system by the closest approach iteration SLAM algorithms to the sensing data of acquisition into Row scanning and matching, solve the motion change matrix of the mobile robot;The motion change matrix includes spin matrix And translation matrix;
    Meanwhile real time kinematics track, self poisoning and the environment distribution of robot are calculated, carry out the mapping of grating map.
  5. 5. mobile robot embedded laser SLAM methods according to claim 4, it is characterised in that in generation grid During figure, specifically further include:
    The sensing data is verified using the embedded board;
    When the data of odometer extraction show that the displacement of the mobile robot is less than given threshold, last life is continued to use Into grating map.
  6. 6. according to claim 1-5 any one of them mobile robot embedded laser SLAM methods, it is characterised in that described The robot operating system is installed in PC;
    The internetwork connection mode of the PC and the embedded board uses the principal and subordinate of the robot operating system Machine method;
    The embedded board is as slave;The PC is as host;The sensing data passes through the host Shown.
  7. 7. mobile robot embedded laser SLAM methods according to claim 6, it is characterised in that pass through the individual The map that computer observation creates, specifically includes:
    Combined on robot operating system platform in the PC using RVIZ image display interfaces and carry assessment work Tool is observed the map of establishment.
  8. 8. mobile robot embedded laser SLAM methods according to claim 7, it is characterised in that to the map into Row preserves, and specifically includes:
    The map is preserved using the map conserving appliance installed in the robot operating system, simultaneously for preservation The map in the threshold values of three kinds of colors of black-white-gray be adjusted respectively.
  9. 9. mobile robot embedded laser SLAM methods according to claim 8, it is characterised in that the mobile machine The DC power supply of people is directly connected to the robotically-driven plate;
    Voltage conversion is carried out by the robotically-driven plate, to the embedded board, direct current generator and magnetism encoder into Row power supply;
    The laser radar is powered by the embedded board.
  10. A kind of 10. mobile robot embedded laser SLAM systems, it is characterised in that including:
    System building module, for building robot operating system in the embedded board in the mobile robot;
    Network connecting module, for PC to be connected remotely to the embedded board, input life by wireless network Make and start the robot operating system, the robotically-driven circuit board in the mobile robot, and the mobile machine The laser radar installed on people;
    Data acquisition module, for by the laser radar, the embedded board, in the robotically-driven circuit board Inertial Measurement Unit, and the direct current generator and magnetism encoder being connected with the robotically-driven circuit board, obtains sensing Device data;
    Map building module, for the sensing data by acquisition with reference to the SLAM algorithms in the embedded board The establishment of map is carried out, and is uploaded to the PC;
    Map preserving module, for the map created by PC observation, and preserves the map.
CN201711215477.1A 2017-11-28 2017-11-28 A kind of mobile robot embedded laser SLAM method and system Pending CN107943038A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711215477.1A CN107943038A (en) 2017-11-28 2017-11-28 A kind of mobile robot embedded laser SLAM method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711215477.1A CN107943038A (en) 2017-11-28 2017-11-28 A kind of mobile robot embedded laser SLAM method and system

Publications (1)

Publication Number Publication Date
CN107943038A true CN107943038A (en) 2018-04-20

Family

ID=61949224

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711215477.1A Pending CN107943038A (en) 2017-11-28 2017-11-28 A kind of mobile robot embedded laser SLAM method and system

Country Status (1)

Country Link
CN (1) CN107943038A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108549388A (en) * 2018-05-24 2018-09-18 苏州智伟达机器人科技有限公司 A kind of method for planning path for mobile robot based on improvement A star strategies
CN109001752A (en) * 2018-05-18 2018-12-14 威海晶合数字矿山技术有限公司 A kind of three-dimensional measurement modeling and its method
CN109079736A (en) * 2018-08-02 2018-12-25 广东工业大学 A kind of control method and system of the mobile robot platform based on ROS
CN110207705A (en) * 2019-05-27 2019-09-06 五邑大学 A kind of indoor navigation vehicle based on laser SLAM
CN110531766A (en) * 2019-08-27 2019-12-03 熵智科技(深圳)有限公司 Based on the known continuous laser SLAM composition localization method for occupying grating map
CN113340295A (en) * 2021-06-16 2021-09-03 广东工业大学 Unmanned ship near-shore real-time positioning and mapping method with multiple ranging sensors

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016162568A1 (en) * 2015-04-10 2016-10-13 The European Atomic Energy Community (Euratom), Represented By The European Commission Method and device for real-time mapping and localization
CN106114095A (en) * 2016-06-27 2016-11-16 中国石油大学(华东) A kind of amphibious sniffing robot
CN106406338A (en) * 2016-04-14 2017-02-15 中山大学 Omnidirectional mobile robot autonomous navigation apparatus and method based on laser range finder
CN106842230A (en) * 2017-01-13 2017-06-13 深圳前海勇艺达机器人有限公司 Mobile Robotics Navigation method and system
CN107063264A (en) * 2017-04-13 2017-08-18 杭州申昊科技股份有限公司 A kind of robot map creating method suitable for extensive substation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016162568A1 (en) * 2015-04-10 2016-10-13 The European Atomic Energy Community (Euratom), Represented By The European Commission Method and device for real-time mapping and localization
CN106406338A (en) * 2016-04-14 2017-02-15 中山大学 Omnidirectional mobile robot autonomous navigation apparatus and method based on laser range finder
CN106114095A (en) * 2016-06-27 2016-11-16 中国石油大学(华东) A kind of amphibious sniffing robot
CN106842230A (en) * 2017-01-13 2017-06-13 深圳前海勇艺达机器人有限公司 Mobile Robotics Navigation method and system
CN107063264A (en) * 2017-04-13 2017-08-18 杭州申昊科技股份有限公司 A kind of robot map creating method suitable for extensive substation

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
李建勇,刘雪梅,李雪霞,杜博阳: "基于ROS的开源移动机器人系统设计", 《机电设计》 *
李玉: "基于3D激光点云的无人车城市环境SLAM问题研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
林连秀,叶芸,姚剑敏,郭太良: "基于ORB-SLAM 的移动机器人嵌入式实现与优化", 《微型机与应用》 *
白亮亮 等: "分布式移动机器人控制系统设计与实现", 《机械设计与制造》 *
郑富瑜,何苗 等: "基于ROS的ICP-SLAM在嵌入式移动机器人上的实现与优化", 《计算机应用研究》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109001752A (en) * 2018-05-18 2018-12-14 威海晶合数字矿山技术有限公司 A kind of three-dimensional measurement modeling and its method
CN108549388A (en) * 2018-05-24 2018-09-18 苏州智伟达机器人科技有限公司 A kind of method for planning path for mobile robot based on improvement A star strategies
CN109079736A (en) * 2018-08-02 2018-12-25 广东工业大学 A kind of control method and system of the mobile robot platform based on ROS
CN109079736B (en) * 2018-08-02 2022-02-22 广东工业大学 ROS-based mobile robot platform control method and system
CN110207705A (en) * 2019-05-27 2019-09-06 五邑大学 A kind of indoor navigation vehicle based on laser SLAM
CN110531766A (en) * 2019-08-27 2019-12-03 熵智科技(深圳)有限公司 Based on the known continuous laser SLAM composition localization method for occupying grating map
CN110531766B (en) * 2019-08-27 2022-06-28 熵智科技(深圳)有限公司 Continuous laser SLAM (Simultaneous laser mapping) composition positioning method based on known occupied grid map
CN113340295A (en) * 2021-06-16 2021-09-03 广东工业大学 Unmanned ship near-shore real-time positioning and mapping method with multiple ranging sensors

Similar Documents

Publication Publication Date Title
CN107943038A (en) A kind of mobile robot embedded laser SLAM method and system
CN103823935B (en) A kind of wind energy turbine set three-dimensional remote monitoring system
CN107393017A (en) Image processing method, device, electronic equipment and storage medium
CN106843230A (en) It is applied to the virtual wall system and its implementation of mobile device
CN109840508A (en) One robot vision control method searched for automatically based on the depth network architecture, equipment and storage medium
CN108805885A (en) Plot dividing method and terminal, flight course planning method and mobile device control method
CN110928972A (en) Semantic map construction method, system, device, storage medium and robot
CN104548597B (en) The automatic generation method and device of navigation grid
CN108090959A (en) Indoor and outdoor one modeling method and device
JP6927937B2 (en) Systems and methods for generating 3D skeletal representations
CN109491383A (en) Multirobot positions and builds drawing system and method
Zhang et al. User preference-aware navigation for mobile robot in domestic via defined virtual area
Apte et al. The digital twin opportunity
ZHANG et al. Logical and Innovative Construction of Digital Twin City.
Li et al. Depth camera based remote three-dimensional reconstruction using incremental point cloud compression
CN202976181U (en) Bridge management system based on Internet of Things and 3D GIS
Rhoades et al. Enabling a national instruments DaNI 2.0 robotic development platform for the robot operating system
CN113942012A (en) Mechanical arm joint method, system, computer and readable storage medium
Rao et al. AI and ML in IR4. 0: A Short Review of Applications and Challenges
Al-Fedaghi et al. Thinging the robotic architectural structure
Parnianifard et al. Digital-twins towards cyber-physical systems: a brief survey
Chung et al. Integrated navigation system for indoor service robots in large-scale environments
CN114706406A (en) Multi-agent collaborative environment exploration system and device based on human-computer interaction
Fattah et al. Dynamic map generating rescuer offering surveillance robotic system with autonomous path feedback capability
Gualpa et al. Smart IoT watering platform based on orchestration: a case study

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180420