CN108466264A - A kind of robot optimal path forming method for the acquisition of track plates point cloud data - Google Patents

A kind of robot optimal path forming method for the acquisition of track plates point cloud data Download PDF

Info

Publication number
CN108466264A
CN108466264A CN201810104269.2A CN201810104269A CN108466264A CN 108466264 A CN108466264 A CN 108466264A CN 201810104269 A CN201810104269 A CN 201810104269A CN 108466264 A CN108466264 A CN 108466264A
Authority
CN
China
Prior art keywords
robot
track
track plates
point cloud
cloud data
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.)
Granted
Application number
CN201810104269.2A
Other languages
Chinese (zh)
Other versions
CN108466264B (en
Inventor
秦飞
杜以军
吴延江
叶昌尧
李超
杨志国
张志伟
张献州
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.)
Southwest Jiaotong University
China Railway 22nd Bureau Group Co Ltd
Sixth Engineering Co Ltd of China Railway 22nd Bureau Group Co Ltd
Second Engineering Co Ltd of China Railway 22nd Bureau Group Co Ltd
Original Assignee
Southwest Jiaotong University
China Railway 22nd Bureau Group Co Ltd
Sixth Engineering Co Ltd of China Railway 22nd Bureau Group Co Ltd
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 Southwest Jiaotong University, China Railway 22nd Bureau Group Co Ltd, Sixth Engineering Co Ltd of China Railway 22nd Bureau Group Co Ltd filed Critical Southwest Jiaotong University
Priority to CN201810104269.2A priority Critical patent/CN108466264B/en
Publication of CN108466264A publication Critical patent/CN108466264A/en
Application granted granted Critical
Publication of CN108466264B publication Critical patent/CN108466264B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1656Programme controls characterised by programming, planning systems for manipulators
    • B25J9/1664Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning

Abstract

The invention discloses a kind of robot optimal path forming methods for the acquisition of track plates point cloud data, include the following steps:Step 1) uses the scan mode of taking pictures of three-dimensional imaging instrument, the intermediate position of a large amount of point cloud datas of track plate surface and the point cloud of characteristic area, the characteristic area selection track plates centre fill orifice and four peripheral portion region, track plates sides is obtained by way of repeatedly measuring;Step 2) carries out programming development in Windows systems, and automatic movement is completed according to regulation track and flow to control Ku Ka robots;According to track plates appearance and size deviation requirement, robot motion path is planned, after many tests, calculates and optimizes, thus obtain the optimal motion path of robot.Rapidly and efficiently, equipment operational safety is steady for this method, meets production procedure, installation procedure is simple, and inspection result is accurate and reliable.

Description

A kind of robot optimal path forming method for the acquisition of track plates point cloud data
Technical field
The present invention relates to high-speed railway track plate detection fields, and III type track plates point clouds of CRTS are used for more particularly to one kind The robot optimal path design method of data acquisition.
Background technology
III type fragment-free track slabs of CRTS I be state's independent research, one with entirely autonomous intellectual property it is great science and technology at Fruit, is compared to CRTSI types and CRTSII type track plates, and the detection of CRTSIII type track plates eliminates the mistake of field polish Journey simplifies production process, reduces cost, while also more stringent requirements are proposed to the precision and quality of production board.
Currently, the detection of III type fragment-free track slab appearance and sizes of high-speed railway CRTS mainly has following two modes:First Kind is the mode based on motor-driven total powerstation+special tooling.Such detection method in engineering using more, but due to it Tooling is cumbersome, detection efficiency is low, can not achieve the detection of each piece of track plates, it is difficult to meet actual production demand.Second It is to be based on close-range photogrammetry+Mechanical Driven mode, such method is greatly improved on detection efficiency, however still deposits In following deficiency:It drives the mechanical device of camera motion complex, can not achieve flexible data acquiring mode;Using taking the photograph Shadow measurement method realizes track plates detection, and laying photographic measurement point is limited, the laser beam limited amount of track inner surface, Acquired measurement point position is limited, cannot rebuild the refined model of track plates characteristic portion;The behaviour of scanning device and mechanical device Make that system is mutual indepedent, the information exchange and Collaborative Control for both failing to realize;The detection of the non-single track of designed path plate Function can not be directed to single track overrun condition and carry out timely, efficient repetition measurement work.
Invention content
Technical problem to be solved by the invention is to provide a kind of robot for the acquisition of track plates point cloud data is optimal Path forming method, it is of the existing technology to overcome the problems, such as.
It is as follows that the present invention solves the technical solution that above-mentioned technical problem is taken:
A kind of robot optimal path forming method for the acquisition of track plates point cloud data includes the following steps:
Step 1) uses the scan mode of taking pictures of three-dimensional imaging instrument, and track plate surface is obtained by way of repeatedly measuring The point cloud of a large amount of point cloud datas and characteristic area, the characteristic area selection track plates centre fill orifice and peripheral portion region, The intermediate position of four sides of track plates;
Step 2) carries out programming development in Windows systems, is carried by handheld manipulator library card (KUKA smartPAD) Third party's language conversion interface routine of confession converts windows platform development language to library card robot programming language (KRL- KUKA Robot Language), to control Ku Ka robots automatic movement is completed according to regulation track and flow;
According to track plates appearance and size deviation requirement, robot motion path is planned, after many tests, calculate with Optimization, thus obtains the optimal motion path of robot.
Preferably, it is based on《III plate-type fragment-free track slab pretensioning prestressed concrete track plates of high-speed railway CRTS》 In " track plates appearance and size deviation requirement " standard determine track plates appearance and size deviation requirement.
Preferably, in step 1), based on method such as (FARO) three-dimensional imaging instrument, a large amount of point cloud numbers of track plate surface are obtained According to the point cloud with characteristic area;
Mechanical driving equipment is driven based on Ku Ka robots, and the method such as (FARO) three-dimensional imaging instrument is sent to track plates Corresponding designated position.
Preferably, in step 2), further include:
Robot is controlled by hand-held programmer (PHG) to move along the working trajectory of straight line, circular arc or spline curve Designated position at workpiece;
Meanwhile programmable device is stored the coordinates of motion and attitude data, completing robot will be to the scanning element of track plates Carry out positioning study.
Preferably, in step 2), further include:
Interactive based on figure auxiliary programs, and is moulded including robot motion in the operation interface in Windows systems The robot cell of system and its environment lists the expression formula of operation task, or visualizes motion process by analog module, To carry out the motion process simulation of robot.
Preferably, in step 1),
Such as point cloud data is handled after certain detection operation, scanner is not optimum bit when there is some track The case where setting then send specific instruction to library card machine device human hair, and the track to lacking parameter, which mend, surveys scanning.
Preferably, in step 1), the scan position posture that robot carries three-dimensional imaging instrument is perpendicular to track plates table Face.
Preferably, the interactive programming based on figure auxiliary, specifically includes:
Sub-step 1) one manufacturing cell of design component, including III type rail of three-dimensional imaging instrument, Ku Ka robots and CRTS The threedimensional model of guidance tape;
Sub-step 2) description working cell geometric properties, generate operating point, be adjusted and designed according to analog case Robot base;And sub-step 3) it is that operation task is programmed and simulates.
The robot optimal motion path that the present invention realizes is fast, efficient, safe, accurately obtains track plate surface Point cloud data is laid a good foundation.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by the explanations write Specifically noted structure is realized and is obtained in book, claims and attached drawing.
Description of the drawings
The present invention is described in detail below in conjunction with the accompanying drawings, so that the above-mentioned advantage of the present invention is definitely.Its In,
Fig. 1 is the number schematic diagram of track and each side of track plates in the present invention;
Fig. 2 is the schematic diagram of robot motion's path number in the present invention.
Specific implementation mode
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and examples, how to be applied to the present invention whereby Technological means solves technical problem, and the realization process for reaching technique effect can fully understand and implement.It needs to illustrate As long as not constituting conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other, It is formed by technical solution within protection scope of the present invention.
In addition, step shown in the flowchart of the accompanying drawings can be in the department of computer science of such as a group of computer-executable instructions It is executed in system, although also, logical order is shown in flow charts, and it in some cases, can be to be different from herein Sequence execute shown or described step.
Specifically, in order to overcome the prior art the shortcomings that, the present invention provides one kind being used for 1 type track plates points of CRTS The robot optimal motion path implementation method of cloud data acquisition.It, can be direct using the scan mode of taking pictures of three-dimensional imaging instrument Obtain track plate surface mass cloud data.Mechanical device uses KUKA robots, joints cement pier to be used for stationary machines people Position, avoid interference produce.Since track plate bulk is larger, and the field range of three-dimensional imaging instrument is limited, needs Multiple-Scan Measure could obtain track plates track surface point cloud and characteristic area (track plates centre fill orifice and peripheral portion region, The intermediate position of four sides of track plates) point cloud.According to《III plate-type fragment-free track slab pretensioned prestressings of high-speed railway CRTS Concrete railway board》In " track plates appearance and size deviation requirement ", based on windows platform and handheld manipulator (KUKA SmartPAD), the third party's language conversion interface routine provided by library card, converts windows platform development language to library Card robot programming language (KRL-KUKA Robot Language) realizes the integrated of control system, to robot motion road Diameter is planned, after many tests, is calculated and is optimized, devises the optimal motion path of robot.And realize robot by The purpose moved automatically according to optimal path.
As illustrated in fig. 1 and 2, a kind of robot optimal path forming method for the acquisition of track plates point cloud data, including The following steps:
Step 1) uses the scan mode of taking pictures of three-dimensional imaging instrument, and track plate surface is obtained by way of repeatedly measuring The point cloud of a large amount of point cloud datas and characteristic area, the characteristic area selection track plates centre fill orifice and peripheral portion region, The intermediate position of four sides of track plates;
Step 2) carries out programming development in Windows systems, is carried by handheld manipulator library card (KUKA smartPAD) Third party's language conversion interface routine of confession converts windows platform development language to library card robot programming language (KRL- KUKA Robot Language), to control Ku Ka robots automatic movement is completed according to regulation track and flow;
According to track plates appearance and size deviation requirement, robot motion path is planned, after many tests, calculate with Optimization, thus obtains the optimal motion path of robot.
Preferably, it is based on《III plate-type fragment-free track slab pretensioning prestressed concrete track plates of high-speed railway CRTS》 In " track plates appearance and size deviation requirement " standard determine track plates appearance and size deviation requirement.
Preferably, in step 1), based on method such as (FARO) three-dimensional imaging instrument, a large amount of point cloud numbers of track plate surface are obtained According to the point cloud with characteristic area;
Mechanical driving equipment is driven based on Ku Ka robots, and the method such as (FARO) three-dimensional imaging instrument is sent to track plates Corresponding designated position.
Preferably, in step 2), further include:
Robot is controlled by hand-held programmer (PHG) to move along the working trajectory of straight line, circular arc or spline curve Designated position at workpiece;
Meanwhile programmable device is stored the coordinates of motion and attitude data, completing robot will be to the scanning element of track plates Carry out positioning study.
Preferably, in step 2), further include:
Interactive based on figure auxiliary programs, and is moulded including robot motion in the operation interface in Windows systems The robot cell of system and its environment lists the expression formula of operation task, or visualizes motion process by analog module, To carry out the motion process simulation of robot.
Preferably, in step 1),
Such as point cloud data is handled after certain detection operation, scanner is not optimum bit when there is some track The case where setting then send specific instruction to library card machine device human hair, and the track to lacking parameter, which mend, surveys scanning.
In a specific embodiment, the present invention uses library card (KUKA) robot KR 90R3700prime K, the model Robot possesses the load of 90KG, the additional load of 50KG, 3700 radius of clean-up and the repetitive positioning accuracy of 0.06mm, meets Carry the work requirements that three-dimensional imaging instrument carries out the acquisition of track plates high-precision surface point cloud data.
The composition of library card (KUKA) robot includes control system, operation equipment and connecting cable and software.Library card machine The element of device people is as follows:
Manipulator (robotic mechanical system):Mechanical hand is the mechanical system theme of robot, it is by numerous movable, phases Interconnect joint (axis) composition being connected together.Also commonly referred to as kinematic chain.The movement of each axis is directed to by servo motor The regulation and control of property and realize.
Robot control system (trajectory planning):Servo motor is controlled by (V) KR C4 control systems.Control system passes through System bus is connected with manipulator to be controlled.The connection of control system and peripheral equipment can by bus system (such as: ProfiNet, ethernet ip, Interbus) or the mode of network communication realize.
Hand-held and programmable device (library card smartPAD):The operation of KUKA robots passes through handheld manipulator (i.e. KUKA SmartPAD it) carries out, which can carry out custom programming as needed.Pass through KRL-KUKA Robot Language (library card robot programming language) is programmed robot, it can be achieved that robot is complete according to regulation track and flow At automatic movement.
For the position of each track of precise expression, press《III plate-type non-fragment orbits of QCR567-2017 high-speed railways CRTS are first Open method prestressed concrete railway board》Each track is numbered, track plates lateral location is numbered respectively be track 21, 22,23 and 24.
As shown in Figure 1:By taking P5600 type track plates production boards as an example, track plates track surface and side special section are obtained When field surface, the motion path of robot as shown in Fig. 2, the scan position posture that robot carries three-dimensional imaging instrument be perpendicular to Track plate surface.
Lead-through teaching online programming refers to, and is directly programmed in robot working unit.In the process, it is compiled by means of hand-held Journey device (PHG) control robot moves to the specific bit at workpiece along certain track (such as straight line, circular arc or spline curve) It sets, meanwhile, programmable device is stored the coordinates of motion and attitude data.The scanning element of track plates will be determined by completing robot Position study.
In the interactive off-line programing of figure auxiliary, operating procedure is divided into three phases.
First stage:Design component (including the III type rail of three-dimensional imaging instrument, Ku Ka robots and CRTS of a manufacturing cell The threedimensional model of guidance tape).
Second stage:The geometric properties for describing working cell (generate operating point, are adjusted and are designed according to analog case Robot base).
Phase III:It is programmed and simulates for operation task.
The present invention is carried out using the operating method of " lead-through programming " and " off-line programing " mixing in Windows systems Windows platform development language is converted to machine by programming development, the third party's language conversion interface routine provided using library card Human speech is sayed, and is directly connected with manipulator control cabinet by network or serial port data line, and motion control is carried out,
Manipulator control program carries out information exchange by language coversion program and switch board in this method, departing from library card The limitation of PAD platforms and language realizes the integrated of control system.Manipulator control program and Ku Ka PAD belong to concurrency relation, The control to manipulator both may be implemented.
Compared with prior art, the beneficial effects of the invention are as follows:
Rapidly and efficiently.Based on above-mentioned established robot optimal trajectory, an III type track plates surface point of CRTS is completed Cloud data acquisition works, and takes≤5.0min, highly shortened track plates detection time, improve operating efficiency.
Safety and steady.III type track plates of CRTS detect overall process operation smoothness, and situations such as " emergency stop whip " do not occur, do not send out Accidents such as raw " three-dimensional imaging instrument and orbiting collisions ".The safety of personnel and equipment is taken into account while ensureing detection speed.
Meet production procedure, installation procedure is simple.After III type track plates of the CRTS detection working time is in track plates maintenance Before being laid with manufacture, meet production procedure.Robot is fixed on cement pier, and scope of activities is small, and installation procedure is simple.Not shadow Castanets factory scene normal work.
Accurately and reliably.According to the moving line of optimal trajectory control robot, accurately robot can be moved successively To designated position, the high-precision dot cloud data of III type track plates of obtained CRTS and its characteristic area include the institute of track plates detection There is index.
The robot optimal motion path that the present invention realizes is fast, efficient, safe, accurately obtains track plate surface Point cloud data is laid a good foundation.
The following further describes the present invention with reference to the drawings.
By taking P5600 type track plates production boards as an example, when obtaining track plates track surface and side special area surface, machine The motion path of device people is as shown in Fig. 2, the scan position posture that robot carries three-dimensional imaging instrument is perpendicular to track plate surface.
(1) III type track plates automated detection system softwares of CRTS are run;
(2) whether detection robot connects normally;
(3) if connection is abnormal, exception information is prompted, is given a warning;After repairing unusual condition, re-execute (2);
(4) move is sent to library card machine device human hair, track and each side number are as shown in Figure 1, robot motion road Diameter is as follows:
1) robot moves to No. 1 track position from initial position, at track plate surface about 420mm, adjustment machinery The three-dimensional imaging instrument of people front end makes its camera lens face track plate surface;
2) robot reference attitude does not change, and mobile robot is to 2 respectively --- No. 4 track positions, keep it is three-dimensional at As instrument camera lens face track plate surface;
3) robot adjusts posture, moves to No. 21 positions of track, three-dimensional imaging instrument is enable to obtain track 21 Position track plate surface and side point cloud data;
4) robot is run to No. 5 track positions, adjustment posture with it is 1) consistent;
5) robot reference attitude does not change, respectively mobile robot to 5 --- No. 9 positions, keeps three-dimensional imaging instrument mirror Head face track plate surface;
6) robot reference attitude does not change, is moved to No. 22 positions of track, three-dimensional imaging instrument is enable to obtain track Plate right end face and side point cloud data;
7) robot reference attitude does not change, is respectively moved to 18,17,16,15 and No. 14 track positions, keeps three-dimensional Imager camera lens face track plate surface;
8) robot adjusts posture, moves to No. 23 positions of track, three-dimensional imaging instrument is enable to obtain track 23 Position track plate surface and side point cloud data;
9) robot is run to No. 13 track positions, adjustment posture with it is 1) consistent;
10) robot reference attitude does not change, is respectively moved to 13,12,11 and No. 10 track positions, keep it is three-dimensional at As instrument camera lens face track plate surface;
11) robot reference attitude does not change, is moved to No. 24 positions of track, three-dimensional imaging instrument is enable to obtain track Plate left end surface and side point cloud data;
12) robot is moved to initial position.
13) robot completes all movements, terminates operation.
It should be noted that for above method embodiment, for simple description, therefore it is all expressed as a series of Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because According to the application, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know It knows, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily the application It is necessary.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.
It can be used in the computer that one or more wherein includes computer usable program code moreover, the application can be used The computer program product implemented on storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) Form.
Finally it should be noted that:The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used With technical scheme described in the above embodiments is modified or equivalent replacement of some of the technical features. All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in the present invention's Within protection domain.

Claims (9)

1. a kind of robot optimal path forming method for the acquisition of track plates point cloud data, which is characterized in that including following Step:
Step 1) uses the scan mode of taking pictures of three-dimensional imaging instrument, and a large amount of of track plate surface are obtained by way of repeatedly measuring The point cloud of point cloud data and characteristic area, the characteristic area selection track plates centre fill orifice and peripheral portion region, track The intermediate position of four sides of plate;
Step 2) carries out programming development in Windows systems, is provided by handheld manipulator library card (KUKA smartPAD) Third party's language conversion interface routine converts windows platform development language to library card robot programming language (KRL-KUKA Robot Language), to control Ku Ka robots automatic movement is completed according to regulation track and flow;
According to track plates appearance and size deviation requirement, robot motion path is planned, after many tests, calculate with it is excellent Change, thus obtains the optimal motion path of robot.
2. the robot optimal path forming method according to claim 1 for the acquisition of track plates point cloud data, special Sign is, is based on《III plate-type fragment-free track slab pretensioning prestressed concrete track plates of high-speed railway CRTS》In " track plates Appearance and size deviation requirement " standard determines track plates appearance and size deviation requirement.
3. the robot optimal path forming method according to claim 1 or 2 for the acquisition of track plates point cloud data, It is characterized in that, in step 1), based on method such as (FARO) three-dimensional imaging instrument, obtains a large amount of point cloud datas and feature of track plate surface The point cloud in region;
Mechanical driving equipment is driven based on Ku Ka robots, and the method such as (FARO) three-dimensional imaging instrument is sent to track plates and is corresponded to Designated position.
4. the robot optimal path forming method according to claim 1 or 2 for the acquisition of track plates point cloud data, It is characterized in that, in step 2), further includes:
Robot, which is controlled, by hand-held programmer (PHG) moves to work along the working trajectory of straight line, circular arc or spline curve Designated position at part;
Meanwhile programmable device is stored the coordinates of motion and attitude data, the scanning element of track plates will be carried out by completing robot Positioning study.
5. the robot optimal path forming method according to claim 1 or 2 for the acquisition of track plates point cloud data, It is characterized in that, in step 2), further includes:
Interactive based on figure auxiliary programs, and is moulded including robot motion's system in the operation interface in Windows systems And its robot cell of environment, list the expression formula of operation task, or visualize motion process by analog module, with into The motion process of row robot is simulated.
6. the robot optimal path forming method according to claim 3 for the acquisition of track plates point cloud data, special Sign is, in step 1),
Such as point cloud data is handled after certain detection operation, scanner is not optimum position when there is some track Situation then send specific instruction to library card machine device human hair, and the track to lacking parameter, which mend, surveys scanning.
7. the robot optimal path forming method according to claim 3 for the acquisition of track plates point cloud data, special Sign is, in step 1), the scan position posture that robot carries three-dimensional imaging instrument is perpendicular to track plate surface.
8. the robot optimal path forming method according to claim 5 for the acquisition of track plates point cloud data, special Sign is that the interactive programming based on figure auxiliary specifically includes:
Sub-step 1) one manufacturing cell of design component, including III type track plates of three-dimensional imaging instrument, Ku Ka robots and CRTS Threedimensional model;
Sub-step 2) description working cell geometric properties, generate operating point, be adjusted and planing machine according to analog case People's pedestal;And sub-step 3) it is that operation task is programmed and simulates.
9. the robot optimal path forming method according to claim 1 for the acquisition of track plates point cloud data, special Sign is that track plates select III type fragment-free track slabs of CRTS.
CN201810104269.2A 2018-02-02 2018-02-02 Robot optimal path forming method for track slab point cloud data acquisition Active CN108466264B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810104269.2A CN108466264B (en) 2018-02-02 2018-02-02 Robot optimal path forming method for track slab point cloud data acquisition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810104269.2A CN108466264B (en) 2018-02-02 2018-02-02 Robot optimal path forming method for track slab point cloud data acquisition

Publications (2)

Publication Number Publication Date
CN108466264A true CN108466264A (en) 2018-08-31
CN108466264B CN108466264B (en) 2021-12-21

Family

ID=63266059

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810104269.2A Active CN108466264B (en) 2018-02-02 2018-02-02 Robot optimal path forming method for track slab point cloud data acquisition

Country Status (1)

Country Link
CN (1) CN108466264B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115407420A (en) * 2022-07-15 2022-11-29 中国第一汽车股份有限公司 Automobile windshield surface detection system and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2068280B1 (en) * 2007-12-07 2013-01-23 Honda Motor Co., Ltd. Image Distortion Correction
CN106055820A (en) * 2016-06-07 2016-10-26 铁道第三勘察设计院集团有限公司 CRTS (Slab Ballastless Track) III type track slab machining deviation detection method and informatization method for detection results
CN106500697A (en) * 2016-10-13 2017-03-15 浙江工业大学 It is applied to the LTL A* A* optimum path planning methods of dynamic environment
CN106931885A (en) * 2017-04-17 2017-07-07 铁道第三勘察设计院集团有限公司 The quick, intelligent detecting system of track traffic basic component size and method
CN107538487A (en) * 2017-02-16 2018-01-05 北京卫星环境工程研究所 Robot method for automatic measurement and system for large scale complicated surface

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2068280B1 (en) * 2007-12-07 2013-01-23 Honda Motor Co., Ltd. Image Distortion Correction
CN106055820A (en) * 2016-06-07 2016-10-26 铁道第三勘察设计院集团有限公司 CRTS (Slab Ballastless Track) III type track slab machining deviation detection method and informatization method for detection results
CN106500697A (en) * 2016-10-13 2017-03-15 浙江工业大学 It is applied to the LTL A* A* optimum path planning methods of dynamic environment
CN107538487A (en) * 2017-02-16 2018-01-05 北京卫星环境工程研究所 Robot method for automatic measurement and system for large scale complicated surface
CN106931885A (en) * 2017-04-17 2017-07-07 铁道第三勘察设计院集团有限公司 The quick, intelligent detecting system of track traffic basic component size and method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115407420A (en) * 2022-07-15 2022-11-29 中国第一汽车股份有限公司 Automobile windshield surface detection system and method

Also Published As

Publication number Publication date
CN108466264B (en) 2021-12-21

Similar Documents

Publication Publication Date Title
CN102135776B (en) Industrial robot control method based on visual positioning
CN101362511B (en) Synergetic control method of aircraft part pose alignment based on four locater
CN108286949B (en) Movable three-dimensional detection robot system
CN101261118A (en) Rapid automatized three-dimensional appearance on-line measurement method and system based on robot
CN104942808A (en) Robot motion path off-line programming method and system
CN105598970B (en) Closed-loop robot system and its control method
CN104972362A (en) Intelligent force control robot grinding system and method
CN103853133A (en) Robot system calibration method
CN104553353B (en) The controllable distance indicating means of a kind of 3D laser marking machine, marking method, controllable distance instruction device and 3D laser marking machine
CN103759635A (en) Scanning measurement robot detection method allowing precision to be irrelevant to robot
CN103885390A (en) Demonstration-free laser three-dimensional measurement method based on reverse engineering technology and device
CN104298244A (en) Industrial robot three-dimensional real-time and high-precision positioning device and method
CN103434609A (en) Automatic marking device for ship hull section outer plate
CN102451953A (en) Multi-functional laser processing manufacturing system
CN113246142B (en) Measuring path planning method based on laser guidance
CN103753584A (en) Mechanical arm control system
CN108278970A (en) A kind of III type track plates machining deviation automated detection methods of CRTS
CN101362513A (en) Synergetic control method of aircraft part pose alignment based on three locater
Anderson Autonomous, teleoperated, and shared control of robot systems
CN114055467B (en) Space pose online simulation system based on five-degree-of-freedom robot
CN108466264A (en) A kind of robot optimal path forming method for the acquisition of track plates point cloud data
CN111360789A (en) Workpiece processing teaching method, control method and robot teaching system
Ramer et al. A robot motion planner for 6-DOF industrial robots based on the cell decomposition of the workspace
CN105527980A (en) Target tracking control method of binocular visual system
CN113916499B (en) System and method for detecting tracking performance of movable platform optical measuring equipment

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
GR01 Patent grant
GR01 Patent grant