CN102323822A - Method for preventing industrial robot from colliding with worker - Google Patents
Method for preventing industrial robot from colliding with worker Download PDFInfo
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- CN102323822A CN102323822A CN201110118163A CN201110118163A CN102323822A CN 102323822 A CN102323822 A CN 102323822A CN 201110118163 A CN201110118163 A CN 201110118163A CN 201110118163 A CN201110118163 A CN 201110118163A CN 102323822 A CN102323822 A CN 102323822A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1674—Programme controls characterised by safety, monitoring, diagnostic
- B25J9/1676—Avoiding collision or forbidden zones
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/39—Robotics, robotics to robotics hand
- G05B2219/39091—Avoid collision with moving obstacles
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/40—Robotics, robotics mapping to robotics vision
- G05B2219/40201—Detect contact, collision with human
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Abstract
The invention discloses a method for preventing an industrial robot from colliding with a worker, which comprises the following steps that: a monitoring computer inputs a working area image that a visual unit acquires into a worker movement feature identifying unit for scene modeling, regional analysis and worker movement state prediction; then the worker movement feature identifying unit inputs worker movement feature parameters which are generated accordingly into a safe protective area computing unit; the safe protective area computing unit detects the current movement features of an industrial robot according to the worker movement feature parameters, computes the safe protective area of the worker, and inputs the current movement features of the industrial robot into an industrial robot target position and speed adjusting unit; and the industrial robot target position and speed adjusting unit computes the safe movement scope of the industrial robot according to the safe protective area, judges whether the movement of every joint of the industrial robot enters the safe protective area or not, adjusts the target position and the speed of the industrial robot on line, so that the industrial robot is prevented from colliding with the worker.
Description
Technical field
The present invention relates to the method that a kind of workman of avoiding and industrial robot bump in the perform region, particularly a kind of through differentiating workman's movement tendency, avoid industrial robot collision workman's method.
Background technology
A problem that exists during industrial robot is used is: industrial robot need be operated in a perform region sealing, that isolate, suffers the injury of industrial robot for fear of workman's accident, and the workman need be away from this perform region of industrial robot.How letting industrial robot can differentiate workman's movement tendency, avoid colliding the workman, is the key issue that makes industrial robot and workman in same perform region, cooperate and to finish the work.
At present, proposed the many technology and methods of colliding of preventing, bumped to avoid industrial robot and the mobile object or the stationary object that belong to a perform region together based on different principle.Existing method mainly is through the estimation to the collision time and the distance of industrial robot and object, confirms the stand-by time of industrial robot.
For example, the patent No. is US 6,212, and 444 United States Patent (USP) discloses and a kind ofly prevented the method for colliding through the public domain is set, and in this public domain, the operating area of industrial robot overlaps each other with the operating area of other industrial robot or device.When the predetermined reference point on this industrial robot is in the public domain, can get into inhibit signal to other industrial robot or device output first, get into this public domain to forbid other industrial robot or device; When the moveable part of other industrial robot or device is in the public domain, can get into inhibit signal to this industrial robot or device output second again, get into this public domain with the predetermined reference point of forbidding this industrial robot or device.
Publication number is that the one Chinese patent application of CN 101512453A discloses a kind of method of colliding of preventing; It is through estimating the stand-by time of confirming industrial robot excess time before bumping between industrial robot and the object; With estimate bump before excess time and the stand-by time of industrial robot compare; And excess time before estimated bumping during near the stand-by time of industrial robot, stop industrial robot or object.The weak point of this kind method is: movement locus or the movement tendency of workman in the perform region is unforeseen; Thereby be difficult to estimate the excess time before bumping between industrial robot and the workman, also just can't be through estimating the stand-by time of confirming industrial robot excess time before bumping between industrial robot and the object.
Because existing method is not considered workman's kinetic characteristic, like uncertainty factors such as speed and directions, thereby still there is the risk that bumps with industrial robot in the workman.
Summary of the invention
In order to address the above problem, the present invention is a target with security that guarantees the workman and the freedom that strengthens labour movement, and a kind of method of avoiding industrial robot collision workman through the motion state of differentiating the workman is provided.
The technical scheme that the present invention adopts is: a kind of method of industrial robot collision workman of avoiding is after the workman normally gets into the perform region, to accomplish following steps:
Step a2: supervisory control comuter is monitored workman's motion state in real time through visual unit; And the working region image that visual unit collects inputed in the labour movement characteristic recognition unit calculate the labour movement characterisitic parameter; And it is regional based on the security protection that said labour movement characterisitic parameter calculates the workman by security protection zone computing module; Said security protection zone computing module inputs to the security protection zone that obtains in industrial robot target location and the speed adjustment unit; Wherein, said security protection zone is that the workman guarantees its safe Minimum Area in motion state or inactive state;
Step a3: security protection zone computing module is based on the predetermined movement locus of industrial robot; Calculate its zone of protection; And it is inputed in industrial robot target location and the speed adjustment unit; Wherein, said zone of protection representes that each joint of industrial robot all can not collide the area of space of other object;
Step a4: when security protection zone and zone of protection have lap; There is collision workman's danger in the joint of expression industrial robot; The target location and the speed in then said industrial robot target location and each joint of the online adjustment industrial robot of speed adjustment unit avoid any one joint of industrial robot to collide the workman in the perform region.
Preferably, before said step a2, accomplish following steps:
Step a1: supervisory control comuter judges through the border in the real-time monitoring of visual unit zone whether the workman normally gets into the perform region;
Step a11: if the workman does not get into the perform region, then supervisory control comuter is controlled industrial robot according to the preset program complete operation, and returns step a1;
Step a12: if the workman normally gets into the perform region, then supervisory control comuter converts the cooperative work pattern that workman and industrial robot are worked jointly in the perform region, and entering step a2;
Step a13: if the improper entering of workman perform region, then supervisory control comuter provides and the corresponding warning message of degree of protection through alarm unit, and returns step a1 according to the degree of protection of the perform region that the workman got into.
Preferably; Said visual unit comprises the sensor array on the periphery that is installed on the perform region, forms through sensor array to be positioned at the perform region outside and to be positioned at first surveyed area of perform region periphery and to be positioned at the perform region and to be positioned at the second peripheral surveyed area of perform region; Supervisory control comuter through the method on the border in the real-time monitoring of visual unit zone is among the step a1:
Step b1: supervisory control comuter judges through sensor array whether the workman gets into first surveyed area; If being positioned at first detection signal of the sensor on first surveyed area is obstructed; The warning device that then is controlled by first detection signal provides voice suggestion to the workman; And the information that the workman has got into first surveyed area conveyed to supervisory control comuter through bus, and continue to get into step b2;
Step b2: supervisory control comuter judges through sensor array whether the workman gets into second surveyed area; If being positioned at second detection signal of the sensor on second surveyed area is obstructed; The warning device that then is controlled by second detection signal provides the alarm prompting to the workman; And the information that the workman has got into second surveyed area conveyed to supervisory control comuter through bus, and continue to get into step b3;
Step b3: supervisory control comuter judges according to the task situation of industrial robot whether the workman normally gets into the perform region according to demand; If not normal entering, the stop motion of control industrial robot, and completing steps a13; If normal entering the, then completing steps a12.
Preferably, the step of described labour movement characteristic recognition unit computes labour movement characterisitic parameter is:
Step c1: the perform region image to input is set up the perform region background modeling, obtains the perform region background model;
Step c2: the labour movement in the testing regional background model changes, and obtains the workman zone;
Step c3: input workman zone, according to the workman's of hypothesis predicted position distribution in advance, the current location of analyzing the workman distributes, prediction workman's movement tendency;
Step c4: the workman's of input prediction movement tendency, through the workman towards checking, confirm workman's movement tendency, and to the next position of workman with next towards predicting.
Preferably; Definite method in workman's security protection zone is: for being the center with the current location; Is radius with the next position to the distance of current location, with current towards and next towards between angle be that the formed height in fan-shaped bottom surface of central angle is the cylindricality zone of workman's height.
Preferably, definite method of industrial robot ground zone of protection is:
The zone of protection S in the j joint of industrial robot
jBe with r
jSpheric region for radius;
Wherein, r
j=| R
j(i+1)-R
j(i) |, s
jRepresent the position that the j joint can arrive in the space, R
j(i) current location in expression j joint, R
j(i+1) the next position in expression j joint;
The set of the zone of protection in all joints that said zone of protection A2 is an industrial robot:
A2=S
1∪S
2∪...S
n
Wherein, n is the quantity in the joint of industrial robot, and n is a natural number, 1≤j≤n.
Preferably, the target location and the method for velocity of said industrial robot target location and the online adjustment industrial robot motion of speed adjustment unit track are:
Steps d 1: the zone of protection S that judges the j joint
jWith the security protection zone whether overlapping part is arranged,, then adjust the next position R in j joint if having
j(i+1) with at current location R
j(i) the joint velocity V that locates
j(i);
Steps d 2: the current location R that calculates the j joint
j(i) and the interregional bee-line d of security protection
j(i):
d
j(i)=min|R
j(i)-p
k|
Wherein, p
kThe regional lip-deep point of cylindricality for the security protection zone;
Steps d 3: the present speed V in the j joint of adjustment industrial robot
j(i), new present speed is V '
j(i):
Wherein, T is the workman's that obtains at step c4 the next position and the time interval of current location on time shaft;
Steps d 4: the next position R in the j joint of adjustment industrial robot
j(i+1), new the next position is R '
j(i+1):
R′
j(i+1)=R
j(i)+d
j(i)。
Usefulness of the present invention is: from guarantee workman's the freedom to work degree and the angle of personal safety, be core with workman, adjust the motion of industrial robot in real time, avoid industrial robot harm workman.The present invention can increase industrial robot and the workman cooperation possibility of finishing the work.
Description of drawings
Fig. 1 shows a kind of embodiment of avoiding industrial robot collision workman's method of the present invention;
Fig. 2 shows the process flow diagram of avoiding industrial robot collision workman's method of the present invention;
Fig. 3 shows the workflow diagram on the border in supervisory control comuter monitoring zone;
Fig. 4 shows the workflow diagram of labour movement characteristic identification module;
Fig. 5 shows workman's security protection zone;
Fig. 6 shows the zone of protection of industrial robot;
Fig. 7 shows the workflow diagram of industrial robot motion track target location and speed adjusting module.
Embodiment
Carry out detailed explanation below in conjunction with the accompanying drawing specific embodiments of the invention.
Industrial robot collision workman's the method for avoiding of the present invention has mainly been used four unit; Be respectively visual unit, labour movement characteristic recognition unit, security protection zone computing unit and industrial robot target location and speed adjustment unit, this visual unit comprises internal control camera 3, outer monitoring camera 5 and the sensor array 4 among Fig. 1.The place scope of setting when certain task is accomplished for industrial robot 2 in the perform region 1 among Fig. 1; Industrial robot 2 forms its zone of protection 21 in perform region 1; This zone of protection 21 expression workmans may be by the area of space of the joint of industrial robot collision, and promptly each joint of industrial robot all can not collide the area of space of other object; Internal control camera 3 is separately positioned on the inside and outside of perform region 1 with outer monitoring camera 5; Sensor array 4 is installed on the periphery of perform region 1, forms through sensor array 4 that to be located substantially on perform region 1 outer and be positioned at first surveyed area 41 of perform region 1 periphery and be located substantially on perform region 1 and be positioned at the second peripheral surveyed area 42 of perform region 1.Workman 6 forms the security protection zone 61 of oneself in perform region 1, this security protection zone 61 expression workmans guarantee its safe Minimum Area in motion state or stationary state.
The tandem type industrial robot that this industrial robot 2 can be a six degree of freedom can certainly be the industrial robot of other type; Internal control camera 3 can be the CCD camera with outer monitoring camera 5, also can be the camera of other type, as long as can satisfy the requirement of IMAQ; Sensor array 4 can be made up of a plurality of infrared light curtain formula sensors, also can by other type pass through judge that whether signal is blocked the sensor that whether gets into the appointed area with inspected object by object and constitute.
Annexation between four unit is:
The perform region image that supervisory control comuter collects visual unit (being mainly internal control camera 3 wherein) inputs to and carries out scene modeling, regional analysis and workman in the labour movement characteristic recognition unit and transport state gesture prediction; Afterwards, the labour movement characterisitic parameter that labour movement characteristic recognition unit will generate in view of the above (workman's current location, current movement velocity and current direction of motion) inputs in the computing unit of security protection zone.Security protection zone computing unit calculates workman's security protection zone 61 according to the current kinetic characteristic of labour movement characterisitic parameter detection industrial robot, and it is inputed in industrial robot target location and the speed adjustment unit.Industrial robot target location and speed adjustment unit calculate the safety movement scope of industrial robot according to security protection zone 61; Whether the motion of judging each joint of industrial robot gets into this security protection zone, the target location of online adjustment industrial robot and speed.
Supervisory control comuter can industrial computer also can be other system that image, signal Processing and computing function are arranged.At this; This labour movement characteristic recognition unit, security protection zone computing unit and industrial robot target location and speed adjustment unit all can be the processing unit of realizing through supervisory control comuter, can certainly realize through the processor that is independent of supervisory control comuter and is connected with the supervisory control comuter communication.
Fig. 2 shows the process flow diagram of avoiding industrial robot collision workman's method of the present invention, is specially:
Step a1: supervisory control comuter judges through the border of outer monitoring camera 5 with sensor array 4 real-time monitoring zones 1 whether the workman normally gets into perform region 1;
Step a11: if the workman does not get into perform region 1, then supervisory control comuter is controlled industrial robot according to the preset program complete operation, and returns step a1;
Step a12: if the workman normally gets into perform region 1, then supervisory control comuter converts the cooperative work pattern that workman and industrial robot are worked jointly in the perform region, and entering step a2;
Step a13: if the improper entering of workman perform region, then supervisory control comuter provides and the corresponding warning message of degree of protection through alarm unit, and returns step a1 according to the degree of protection of the perform region that the workman got into;
Step a2: supervisory control comuter is through internal control camera 3 monitoring workmans' motion states in real time, and the perform region image that internal control camera 3 collects inputed to calculates the labour movement characterisitic parameter in the labour movement characteristic recognition unit; Security protection zone computing module calculates workman's security protection zone 61 again according to this labour movement characterisitic parameter, and it is inputed in industrial robot target location and the speed adjustment unit;
Step a3: security protection zone computing module calculates its zone of protection 21, and it is inputed in industrial robot target location and the speed adjustment unit according to the predetermined movement locus of industrial robot;
Step a4: when there is lap in security protection zone 61 with zone of protection 21; There is collision workman's danger in the joint of expression industrial robot; Then the target location and the speed in this industrial robot target location and each joint of the online adjustment industrial robot of speed adjustment unit avoid any one joint of industrial robot to collide the workman in the perform region.
Fig. 3 shows supervisory control comuter among the step a1 through the method for work process flow diagram of outer monitoring camera 5 with the border of sensor array 4 real-time monitorings regional 1, is specially:
Step b1: supervisory control comuter judges through sensor array 4 whether the workman gets into first surveyed area 41; If being positioned at first detection signal of the sensor on first surveyed area is obstructed; The warning device that then is controlled by first detection signal provides voice suggestion to the workman; And the information that the workman has got into first surveyed area conveyed to supervisory control comuter through bus, and continue to get into step b2;
Step b2: supervisory control comuter judges through sensor array 4 whether the workman gets into second surveyed area; If being positioned at second detection signal of the sensor on second surveyed area is obstructed; The warning device that then is controlled by second detection signal provides the alarm prompting to the workman; And the information that the workman has got into second surveyed area conveyed to supervisory control comuter through bus, and continue to get into step b3;
Step b3: supervisory control comuter judges according to the task situation of industrial robot whether the workman normally gets into the perform region according to demand; If not normal entering, the stop motion of control industrial robot, and completing steps a13; If normal entering the, then completing steps a12.
The above-mentioned warning device that is controlled by first detection signal can be same warning device with the warning device that is controlled by second detection signal; This warning device produces different responses to first and second detection signals; Certainly, the two also can be different warning devices.In addition, this warning device can belong to above-mentioned alarm unit, and the alerting signal among the step a13 can be carried out by this warning device, is preferably through other warning device that belongs to alarm unit and carries out.
Fig. 4 shows the workflow diagram of labour movement characteristic recognition unit, is specially:
Step c1: the background modeling of perform region
Labour movement characteristic recognition unit is set up the gaussian statistics model based on time coordinate system according to the perform region image (being preferably video image) of input; Then the gaussian statistics model is carried out denoising with level and smooth; Obtain the initial back-ground model of perform region; Adopt bayes method that the sample point in the initial back-ground model is calculated renewal in real time then,, obtain the background model of perform region to eliminate the influence that complicated background that changes and illumination variation are brought.
Step c2: evaluating objects (workman) zone
Background model to the perform region is carried out motion detection and background subtraction, obtains to include workman's zone; Noise rejecting, zone fusion and level and smooth and morphology processing are carried out in the zone that includes the workman, finally obtain the workman zone.
Step c3: evaluating objects (workman)
Labour movement characteristic recognition unit distributes according to workman zone that obtains and the predicted position that is stored in workman wherein in advance; The current location of analyzing the workman distributes; Utilize the tree structure sorter judge the workman towards (front or side towards robot, promptly whether with industrial robot over against).
Step c4: the movement tendency of target of prediction (workman)
Each image constantly to the workman carries out Kalman filtering; Simultaneously through the workman towards checking, confirm workman's movement tendency, and to the next position of workman with towards predicting; Wherein, target workman's the next position and the current location time interval on time shaft is T.
In step c4, mainly set up labour movement trajectory predictions model with the method that particle filter combines through the Kalman, and the next position and next of judging the workman through this forecast model towards, be specially:
At first; The initial motion model of setting up the workman based on workman's task and state (being that predicted position distributes); At the labour movement initial stage, based on this initial motion model adopt the graceful Forecasting Methodology of OK a karaoke club to the next position of workman with next towards predicting and judging;
Then; Through study and modeling to workman's position in the successive frame that has obtained; Draw track and the kinematic parameter (current location of promptly analyzing the workman distributes) of labour movement, revise the model parameter of Kalman's prediction, and the next position of judging the workman in view of the above with next towards;
At last; Uncertainty and nonlinear problem for the processing target labour movement; Introduce particle filter algorithm the workman's of Kalman's prediction position distribution is carried out the sampling of importance probability; Through video measuring function and target weight mean value computation, obtain most probable zone of next frame target and direction of motion.
As shown in Figure 5; Workman's security protection zone 61 is to be the center with current location P (i); Is radius with the next position P (i+1) to the distance R of current location P (i), with current be that the formed height in fan-shaped bottom surface of central angle is the cylindricality zone of workman's height H towards O (i) and next angle theta between O (i+1).
Fig. 6 shows the zone of protection 21 of industrial robot, wherein,
The zone of protection S in the j joint of industrial robot
jBe to think radius r
jSpheric region:
Wherein, r
j=| R
j(i+1)-R
j(i) |, s
jRepresent the position that the j joint can arrive in the space, R
j(i) current location in expression j joint, R
j(i+1) the next position in expression j joint, i.e. next position constantly.
Zone of protection A2 (21) is the set (union) of zone of protection in all joints of industrial robot, that is:
A2=S
1∪S
2∪...S
n
Wherein, S
1Be the zone of protection in first joint, S
2Be the zone of protection of second joint, S
nBe the zone of protection in n joint, wherein, n is a natural number, the quantity of expression industrial robot joint, 1≤j≤n.Industrial robot as shown in Figure 6 has three joints, and promptly n equals 3, and zone of protection separately is respectively S
1, S
2And S
3
Fig. 7 is industrial robot target location and the target location of the online adjustment industrial robot motion of speed adjustment unit track and the method for work process flow diagram of speed, is specially:
Steps d 1: the zone of protection S that judges the j joint
jWith security protection zone 61 whether overlapping part is arranged,, then adjust the next position R in j joint if having
j(i+1) with at current location R
j(i) the joint velocity V that locates
j(i).
Steps d 2: the current location R that calculates the j joint
j(i) and the bee-line d in 61 in security protection zone
j(i):
d
j(i)=min|R
j(i)-p
k|
Wherein, p
kThe regional lip-deep point of cylindricality for the security protection zone.
Steps d 3: the present speed V in the j joint of adjustment industrial robot
j(i), new present speed is V '
j(i):
Steps d 4: the next position R in the j joint of adjustment industrial robot
j(i+1), new the next position is R '
j(i+1):
R′
j(i+1)=R
j(i)+d
j(i)
Supervisory control comuter is responsible for new target location (being new the next position) and new present speed are sent to the controller of industrial robot, and controls industrial robot by controller and accomplish new action.
Being merely preferred embodiment of the present invention in sum, is not to be used for limiting practical range of the present invention.Be that all equivalences of doing according to the content of claim of the present invention change and modification, all should belong to technological category of the present invention.
Claims (9)
1. a method of avoiding industrial robot collision workman is characterized in that, after the workman normally gets into the perform region, accomplishes following steps:
Step a2: supervisory control comuter is monitored workman's motion state in real time through visual unit; And the working region image that visual unit collects inputed in the labour movement characteristic recognition unit calculate the labour movement characterisitic parameter; And it is regional based on the security protection that said labour movement characterisitic parameter calculates the workman by security protection zone computing module; Said security protection zone computing module inputs to the security protection zone that obtains in industrial robot target location and the speed adjustment unit; Wherein, said security protection zone is that the workman guarantees its safe Minimum Area in motion state or inactive state;
Step a3: security protection zone computing module is based on the predetermined movement locus of industrial robot; Calculate its zone of protection; And it is inputed in industrial robot target location and the speed adjustment unit; Wherein, said zone of protection representes that each joint of industrial robot all can not collide the area of space of other object;
Step a4: when security protection zone and zone of protection have lap; There is collision workman's danger in the joint of expression industrial robot; The target location and the speed in then said industrial robot target location and each joint of the online adjustment industrial robot of speed adjustment unit avoid any one joint of industrial robot to collide the workman in the perform region.
2. the method for avoiding industrial robot collision workman according to claim 1 is characterized in that, before said step a2, accomplishes following steps:
Step a1: supervisory control comuter judges through the border in the real-time monitoring of visual unit zone whether the workman normally gets into the perform region;
Step all: if the workman does not get into the perform region, then supervisory control comuter is controlled industrial robot according to the preset program complete operation, and returns step a1;
Step a12: if the workman normally gets into the perform region, then supervisory control comuter converts the cooperative work pattern that workman and industrial robot are worked jointly in the perform region, and entering step a2;
Step a13: if the improper entering of workman perform region, then supervisory control comuter provides and the corresponding warning message of degree of protection through alarm unit, and returns step a1 according to the degree of protection of the perform region that the workman got into.
3. the method for avoiding industrial robot collision workman according to claim 2; It is characterized in that; Said visual unit comprises the sensor array on the periphery that is installed on the perform region, forms through sensor array to be positioned at the perform region outside and to be positioned at first surveyed area of perform region periphery and to be positioned at the perform region and to be positioned at the second peripheral surveyed area of perform region; Supervisory control comuter through the method on the border in the real-time monitoring of visual unit zone is among the step a1:
Step b1: supervisory control comuter judges through sensor array whether the workman gets into first surveyed area; If being positioned at first detection signal of the sensor on first surveyed area is obstructed; The warning device that then is controlled by first detection signal provides voice suggestion to the workman; And the information that the workman has got into first surveyed area conveyed to supervisory control comuter through bus, and continue to get into step b2;
Step b2: supervisory control comuter judges through sensor array whether the workman gets into second surveyed area; If being positioned at second detection signal of the sensor on second surveyed area is obstructed; The warning device that then is controlled by second detection signal provides the alarm prompting to the workman; And the information that the workman has got into second surveyed area conveyed to supervisory control comuter through bus, and continue to get into step b3;
Step b3: supervisory control comuter judges according to the task situation of industrial robot whether the workman normally gets into the perform region according to demand; If not normal entering, the stop motion of control industrial robot, and completing steps a13; If normal entering the, then completing steps a12.
4. the method for avoiding industrial robot collision workman according to claim 3; It is characterized in that; Said visual unit also comprises the external monitoring camera that is installed on outside the perform region; In step a1, supervisory control comuter is monitored the border of perform region in real time through said external monitoring camera and sensor array.
5. the method for avoiding industrial robot collision workman according to claim 1; It is characterized in that; Said visual unit comprises the internal monitoring camera that is installed in the perform region, and in step a2, supervisory control comuter is monitored workman's motion state in real time through said internal monitoring camera.
6. according to each described method of avoiding industrial robot collision workman in the claim 1 to 5, it is characterized in that the step of described labour movement characteristic recognition unit computes labour movement characterisitic parameter is:
Step c1: the perform region image to input is set up the perform region background modeling, obtains the perform region background model;
Step c2: the labour movement in the testing regional background model changes, and obtains the workman zone;
Step c3: input workman zone, according to the workman's of hypothesis predicted position distribution in advance, the current location of analyzing the workman distributes, prediction workman's movement tendency;
Step c4: the workman's of input prediction movement tendency, through the workman towards checking, confirm workman's movement tendency, and to the next position of workman with next towards predicting.
7. a kind of motion state through the differentiation workman according to claim 6 is collided workman's method to avoid industrial robot; It is characterized in that; Definite method in workman's security protection zone is: for being the center with the current location; Is radius with the next position to the distance of current location, with current towards and next towards between angle be that the formed height in fan-shaped bottom surface of central angle is the cylindricality zone of workman's height.
8. a kind of method of avoiding industrial robot collision workman according to claim 7 is characterized in that definite method of industrial robot ground zone of protection is:
The zone of protection S in the j joint of industrial robot
jBe with r
jSpheric region for radius;
Wherein, r
j=| R
j(i+1)-R
j(i) |, s
jRepresent the position that the j joint can arrive in the space, R
j(i) current location in expression j joint, R
j(i+1) the next position in expression j joint;
The set of the zone of protection in all joints that said zone of protection A2 is an industrial robot:
A2=S
1∪S
2∪...S
n
Wherein, n is the quantity in the joint of industrial robot, and n is a natural number, 1≤j≤n.
9. a kind of method of avoiding industrial robot collision workman according to claim 8 is characterized in that the target location and the method for velocity of said industrial robot target location and the online adjustment industrial robot motion of speed adjustment unit track are:
Steps d 1: the zone of protection S that judges the j joint
jWith the security protection zone whether overlapping part is arranged,, then adjust the next position R in j joint if having
j(i+1) with at current location R
j(i) the joint velocity V that locates
j(i);
Steps d 2: the current location R that calculates the j joint
j(i) and the interregional bee-line d of security protection
j(i):
d
j(i)=min|R
j(i)-p
k|
Wherein, p
kThe regional lip-deep point of cylindricality for the security protection zone;
Steps d 3: the present speed V in the j joint of adjustment industrial robot
j(i), new present speed is V '
j(i):
Wherein, T is the workman's that obtains at step c4 the next position and the time interval of current location on time shaft;
Steps d 4: the next position R in the j joint of adjustment industrial robot
j(i+1), new the next position is R '
j(i+1):
R′
j(i+1)=R
j(i)+d
j(i)。
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0845723A1 (en) * | 1996-06-18 | 1998-06-03 | Fanuc Ltd | Method of avoiding interference of industrial robot |
JP2000190262A (en) * | 1998-12-22 | 2000-07-11 | Denso Corp | Control device for robot |
CN1461693A (en) * | 2002-05-30 | 2003-12-17 | 库卡-罗伯特有限公司 | Method for preventing and device for controlling colliding between cooperated manipulators |
CN101352854A (en) * | 2008-07-17 | 2009-01-28 | 上海交通大学 | Remote operation planar redundant manipulator automated guided intelligent element, system and method |
CN101512452A (en) * | 2006-07-31 | 2009-08-19 | 皮尔茨公司 | Camera-based monitoring of machines with moving machine elements for the purpose of collision prevention |
CN101512453A (en) * | 2006-09-14 | 2009-08-19 | Abb研究有限公司 | A method and device for avoiding collisions between an industrial robot and an object |
CN101984750A (en) * | 2007-10-01 | 2011-03-09 | Abb科技公司 | A method for controlling a plurality of axes in an industrial robot system and an industrial robot system |
-
2011
- 2011-05-09 CN CN201110118163.6A patent/CN102323822B/en not_active Expired - Fee Related
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0845723A1 (en) * | 1996-06-18 | 1998-06-03 | Fanuc Ltd | Method of avoiding interference of industrial robot |
US6212444B1 (en) * | 1996-06-18 | 2001-04-03 | Fanuc Limited | Method of avoiding interference of industrial robot |
JP2000190262A (en) * | 1998-12-22 | 2000-07-11 | Denso Corp | Control device for robot |
CN1461693A (en) * | 2002-05-30 | 2003-12-17 | 库卡-罗伯特有限公司 | Method for preventing and device for controlling colliding between cooperated manipulators |
CN101512452A (en) * | 2006-07-31 | 2009-08-19 | 皮尔茨公司 | Camera-based monitoring of machines with moving machine elements for the purpose of collision prevention |
CN101512453A (en) * | 2006-09-14 | 2009-08-19 | Abb研究有限公司 | A method and device for avoiding collisions between an industrial robot and an object |
CN101984750A (en) * | 2007-10-01 | 2011-03-09 | Abb科技公司 | A method for controlling a plurality of axes in an industrial robot system and an industrial robot system |
CN101352854A (en) * | 2008-07-17 | 2009-01-28 | 上海交通大学 | Remote operation planar redundant manipulator automated guided intelligent element, system and method |
Non-Patent Citations (1)
Title |
---|
孟正大等: "机器人无碰撞路径规划方法研究及实现", 《华中科技大学学报(自然科学版)》 * |
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