CN108544491A - A kind of moving robot obstacle avoiding method considering distance and two factor of direction - Google Patents

A kind of moving robot obstacle avoiding method considering distance and two factor of direction Download PDF

Info

Publication number
CN108544491A
CN108544491A CN201810289260.3A CN201810289260A CN108544491A CN 108544491 A CN108544491 A CN 108544491A CN 201810289260 A CN201810289260 A CN 201810289260A CN 108544491 A CN108544491 A CN 108544491A
Authority
CN
China
Prior art keywords
robot
barrier
distance
max
danger
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
CN201810289260.3A
Other languages
Chinese (zh)
Other versions
CN108544491B (en
Inventor
仲朝亮
刘士荣
张波涛
汪江平
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.)
Hangzhou Dianzi University
Original Assignee
Hangzhou Dianzi University
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 Hangzhou Dianzi University filed Critical Hangzhou Dianzi University
Priority to CN201810289260.3A priority Critical patent/CN108544491B/en
Publication of CN108544491A publication Critical patent/CN108544491A/en
Application granted granted Critical
Publication of CN108544491B publication Critical patent/CN108544491B/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
    • 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
    • B25J9/1666Avoiding collision or forbidden zones

Landscapes

  • Engineering & Computer Science (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

The present invention discloses a kind of moving robot obstacle avoiding method considering two factors of distance and direction.This method quantizes the fusion problem between the distance and direction of barrier, obtains a unified measurement standard, referred to as barrier danger angle value.The barrier of the greatest danger angle value obtains preferential avoidance, this method can make mobile robot be infinitely variable the angular speed and linear velocity of movement naturally according to real-time environmental information, safety guarantee of both distance and direction is provided for robot, there is Practical significance for the safety navigation of robot.

Description

A kind of moving robot obstacle avoiding method considering distance and two factor of direction
Technical field
The invention belongs to mobile robot barrier evacuation control system fields, particularly, are related to a kind of based on Laser Measuring Moving robot obstacle avoiding method away from sensor.
Background technology
In recent years, robot and intelligent vehicle cannot reach or high in mankind such as battlefield attacking and defending, rescue and relief work, Science Explorations It spends in dangerous environment and embodies more and more important application.With the development of robot technology, robot application is promoted The working environment of the continuous extension in field, robot also becomes increasingly complex therewith.Robot can encounter various during the motion The barrier of various kinds, this results in robot, and there is great dangers during its Navigational Movements.Therefore whether have Standby quickly and effectively avoiding barrier ability is the key that robot realizes safety navigation.At present in most of barrier-avoiding method, It is usually main to consider the distance between barrier and robot to carry out avoidance operation.This method reduces the orientation of barrier Influence of the information to robot obstacle-avoiding.Distance and direction are that robot refers to two primary evaluations of barrier progress avoidance judge Mark answers preferential avoidance apart from close, and the barrier in front also should preferential avoidance.It is proposed to this end that it is a kind of merged distance and The moving robot obstacle avoiding method based on laser radar sensor in direction, provides more the safety navigation of robot Safety guarantee has Practical significance for the safety navigation of robot.
Invention content
The present invention be directed to existing method deficiency, propose it is a kind of consider two factor of distance and bearing based on Laser Measuring Moving robot obstacle avoiding method away from sensor.
In order to achieve the above object, the present invention is divided into three parts:First part is part around mobile robot itself The fetching portion of environmental information;Second part is the dangerous obstacles extraction for considering two factors of distance and bearing, third Part is the Mobile Robot Obstacle Avoidance based on barrier danger level.
The operating procedure of barrier-avoiding method is as follows:
One:The acquisition of local environmental information
Step 1:By installing two laser range finders back-to-back come the ambient enviroment of scanning machine people, one 360 ° are formed Circular scan face.It scans each time and can get a frame scan data, be expressed as array Ak
Wherein k indicates kth time scanning ambient enviroment;For laser scanning angular resolution;N is that scanning can get each time Laser ranging data number, namely share N number of distance measurement value;diIndicate ith measurement value, 1≤i≤N.So AkAs one The local environmental information that secondary scanning circumstance is obtained.
Two:Calculate the barrier danger level for considering two factors of distance and bearing
Step 2:It enables i since 1, i-th of distance measurement value is calculated separately in robot local Coordinate System by formula (2) (3) Coordinate (xi,yi), whereinFor the deviation angle of i-th of distance measurement value.
Step 3:Calculate temporary variable S
S=max (0.56yi+2.56,0) (4)
Step 4:Calculate temporary variable K
K=max (yi+ 0.56, eps), wherein eps=0.00001 (5)
Step 5:Calculate ri
ri=max (1- (yi 2+Sxi 2)/K,0) 1≤i≤N (6)
riBarrier danger angle value of the distance with direction, and 0≤r have been merged corresponding to as i-th of distance measurei ≤1.If ri=1, indicate the barrier danger level highest corresponding to i-th of distance measure, ri=0 indicates that i-th of distance is surveyed Barrier corresponding to magnitude is safe from danger.
Step 6:If i≤N, step 2 is returned to until obtaining the dangerous angle value array containing N number of element
R={ r1,r2,…,rN} (7)
Three:Mobile Robot Obstacle Avoidance based on barrier danger level
Step 7:Find out highest danger angle valueIts corresponding i-thmaxA laser ranging value
Step 8:IfIt indicates that dangerous barrier exists, then calculates between dangerous obstacles and robot Angle
IfIt then indicates the barrier presence that is safe from danger, jumps to step 1.
Step 9:The angular velocity omega of avoidance movement is carried out by formula (10), (11) calculating robot and linear velocity v is indicated It is as follows:
Wherein ωpreWith vpreThe angular speed and linear velocity of robot when to be switched to avoid-obstacle behavior;ωmaxWith vmaxFor machine People's maximum angular rate and linear velocity;α and β is intensity factor.
Step 10:It jumps to step 1 and continues to run until that robot completes motor task.
Advantageous effect:The present invention is by distance and the information in direction are carried out data fusion, forming a single weighing apparatus Amount standard, as barrier danger angle value.Have the characteristics that computation complexity is low and real-time is good.The design can make mobile machine People is infinitely variable the angular speed and linear velocity of movement according to real-time environmental information naturally, so as to ensure that robot realizes Safer Navigation Control.
Description of the drawings
Fig. 1 is the flow diagram of moving robot obstacle avoiding method;
Fig. 2 is the movement sectional drawing in the implementation process of moving robot obstacle avoiding method.
Specific implementation mode:
The present invention moves in the environment with robot, while with the part around the acquisition robot of laser range finder Environmental information, the distance and bearing for considering environmental information obtain a single measurement standard, i.e. barrier danger angle value, Robot generates suitable avoidance linear velocity and angular speed according to dangerous angle value, completes avoid-obstacle behavior.Fig. 2 keeps away for mobile robot Movement sectional drawing in barrier method implementation process.From movement locus as it can be seen that the successful avoiding obstacles of robot reach eventually from starting point Point.
As shown in Figure 1, the specific implementation mode of whole process of the present invention illustrated below:
First part:The acquisition of local environmental information
Step 1:By installing two laser range finders back-to-back come the ambient enviroment of scanning machine people, one 360 ° are formed Circular scan face.It scans each time and can get a frame scan data, the array A that kth time scanning ambient enviroment obtainsk
For laser scanning angular resolution, settingTherefore it scans can get 360 range data each time.
Second part:Calculate the barrier danger level for considering two factors of distance and bearing
Step 2:I calculates separately i-th of distance measure in robot local Coordinate System since 1, by formula (2) (3) In coordinate (xi,yi), whereinFor the deviation angle of i-th of distance measurement value.
xi=dicos(i·1) (2)
yi=disin(i·1) (3)
Step 3:Calculate temporary variable S
S=max (0.56yi+2.56,0) (4)
Step 4:Calculate temporary variable K
K=max (yi+ 0.56, eps), wherein eps=0.00001 (5)
Step 5:Calculate ri
ri=max (1- (yi 2+Sxi 2)/K,0)(1≤i≤N) (6)
riThe danger level of barrier corresponding to as i-th of distance measure, and 0≤ri≤1.If ri=1, it indicates Barrier danger level highest corresponding to i-th of distance measure, ri=0 indicates the obstacle corresponding to i-th of distance measure Object is safe from danger.
Step 6:If i≤N, step 2 is returned to until obtaining the dangerous angle value array containing N=360 element
R={ r1,r2,…,rN} (7)
Part III:Mobile Robot Obstacle Avoidance based on barrier danger level
Step 7:Find out highest danger angle valueIts corresponding i-thmaxA laser ranging value
Step 8:IfIt indicates that dangerous barrier exists, then calculates between dangerous obstacles and robot Angle
IfIt then indicates the barrier presence that is safe from danger, jumps to step 1.
Step 9:The angular velocity omega of avoidance movement is carried out by formula (10) (11) calculating robot and linear velocity v is indicated such as Under:
Wherein ωpreWith vpreThe angular speed and linear velocity of robot when to be switched to avoid-obstacle behavior;ωmaxWith vmaxFor machine People's maximum angular rate and linear velocity;α and β is intensity factor, and α=2, β=4 are arranged.
Step 10:It jumps to step 1 and continues to run until that robot completes motor task.

Claims (1)

1. a kind of moving robot obstacle avoiding method considering distance and two factor of direction, which is characterized in that this method is specific Include the following steps:
One:The acquisition of local environmental information
Step 1:By installing two laser range finders back-to-back come the ambient enviroment of scanning machine people, one 360 ° of circle is formed Shape scanning plane;It scans each time and can get a frame scan data, be expressed as array Ak
Wherein k indicates kth time scanning ambient enviroment;For laser scanning angular resolution;N, which is that scanning each time is obtainable, to be swashed The number of ligh-ranging data, namely share N number of distance measurement value;diIndicate ith measurement value, 1≤i≤N;So AkAs once sweep Retouch the local environmental information that environment is obtained;
Two:Calculate the barrier danger level for considering two factors of distance and bearing
Step 2:It enables i since 1, seat of i-th of distance measurement value in robot local Coordinate System is calculated separately by formula (2) (3) Mark (xi,yi), whereinFor the deviation angle of i-th of distance measurement value;
Step 3:Calculate temporary variable S
S=max (0.56yi+2.56,0) (4)
Step 4:Calculate temporary variable K
K=max (yi+ 0.56, eps), wherein eps=0.00001 (5)
Step 5:Calculate ri
ri=max (1- (yi 2+Sxi 2)/K,0) 1≤i≤N (6)
riBarrier danger angle value of the distance with direction, and 0≤r have been merged corresponding to as i-th of distance measurei≤1; If ri=1, indicate the barrier danger level highest corresponding to i-th of distance measure, ri=0 indicates i-th of distance measure Corresponding barrier is safe from danger;
Step 6:If i≤N, step 2 is returned to until obtaining the dangerous angle value array containing N number of element
R={ r1,r2,…,rN} (7)
Three:Mobile Robot Obstacle Avoidance based on barrier danger level
Step 7:Find out highest danger angle valueIts corresponding i-thmaxA laser ranging value
Step 8:IfIt indicates that dangerous barrier exists, then calculates the angle between dangerous obstacles and robot
IfIt then indicates the barrier presence that is safe from danger, jumps to step 1;
Step 9:The angular velocity omega of avoidance movement is carried out by formula (10), (11) calculating robot and linear velocity v indicates as follows:
Wherein ωpreWith vpreThe angular speed and linear velocity of robot when to be switched to avoid-obstacle behavior;ωmaxWith vmaxMost for robot Big angular speed and linear velocity;α and β is intensity factor;
Step 10:It jumps to step 1 and continues to run until that robot completes motor task.
CN201810289260.3A 2018-03-30 2018-03-30 Mobile robot obstacle avoidance method comprehensively considering two factors of distance and direction Active CN108544491B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810289260.3A CN108544491B (en) 2018-03-30 2018-03-30 Mobile robot obstacle avoidance method comprehensively considering two factors of distance and direction

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810289260.3A CN108544491B (en) 2018-03-30 2018-03-30 Mobile robot obstacle avoidance method comprehensively considering two factors of distance and direction

Publications (2)

Publication Number Publication Date
CN108544491A true CN108544491A (en) 2018-09-18
CN108544491B CN108544491B (en) 2020-04-28

Family

ID=63513931

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810289260.3A Active CN108544491B (en) 2018-03-30 2018-03-30 Mobile robot obstacle avoidance method comprehensively considering two factors of distance and direction

Country Status (1)

Country Link
CN (1) CN108544491B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110147108A (en) * 2019-06-04 2019-08-20 西南交通大学 A kind of Mobile Robot Obstacle Avoidance control method calculated based on film
CN113069094A (en) * 2021-03-22 2021-07-06 浙江华彩光电科技有限公司 Wearable appliance with explosion-proof abnormality detection and physiological early warning functions
CN113110413A (en) * 2021-03-10 2021-07-13 成都永奉科技有限公司 Following robot, following control method and following control system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080243387A1 (en) * 2004-09-15 2008-10-02 Christoph Schinerl Method for Preventing a Collision
CN102541057A (en) * 2010-12-29 2012-07-04 沈阳新松机器人自动化股份有限公司 Moving robot obstacle avoiding method based on laser range finder
CN102773858A (en) * 2012-07-17 2012-11-14 北京航空航天大学 Obstacle avoidance method of robot palletizer
CN105159291A (en) * 2015-07-10 2015-12-16 北京印刷学院 Intelligent fleet obstacle avoiding device based on physical information network and obstacle avoiding method
CN105437232A (en) * 2016-01-11 2016-03-30 湖南拓视觉信息技术有限公司 Method and device for controlling multi-joint moving robot to avoid obstacle
CN106166750A (en) * 2016-09-27 2016-11-30 北京邮电大学 A kind of modified model D* mechanical arm dynamic obstacle avoidance paths planning method
CN107844116A (en) * 2017-10-12 2018-03-27 杭州电子科技大学 A kind of online generation method of mobile robot path map

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080243387A1 (en) * 2004-09-15 2008-10-02 Christoph Schinerl Method for Preventing a Collision
CN102541057A (en) * 2010-12-29 2012-07-04 沈阳新松机器人自动化股份有限公司 Moving robot obstacle avoiding method based on laser range finder
CN102773858A (en) * 2012-07-17 2012-11-14 北京航空航天大学 Obstacle avoidance method of robot palletizer
CN105159291A (en) * 2015-07-10 2015-12-16 北京印刷学院 Intelligent fleet obstacle avoiding device based on physical information network and obstacle avoiding method
CN105437232A (en) * 2016-01-11 2016-03-30 湖南拓视觉信息技术有限公司 Method and device for controlling multi-joint moving robot to avoid obstacle
CN106166750A (en) * 2016-09-27 2016-11-30 北京邮电大学 A kind of modified model D* mechanical arm dynamic obstacle avoidance paths planning method
CN107844116A (en) * 2017-10-12 2018-03-27 杭州电子科技大学 A kind of online generation method of mobile robot path map

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ZHONG CL: "Continuous learning route map for robot navigation using a growing-on-demand self-organizing neural network", 《INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS》 *
仲朝亮: "未知环境下的移动机器人主动寻径导航策略", 《杭州电子科技大学学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110147108A (en) * 2019-06-04 2019-08-20 西南交通大学 A kind of Mobile Robot Obstacle Avoidance control method calculated based on film
CN110147108B (en) * 2019-06-04 2021-08-03 西南交通大学 Mobile robot obstacle avoidance control method based on membrane calculation
CN113110413A (en) * 2021-03-10 2021-07-13 成都永奉科技有限公司 Following robot, following control method and following control system
CN113069094A (en) * 2021-03-22 2021-07-06 浙江华彩光电科技有限公司 Wearable appliance with explosion-proof abnormality detection and physiological early warning functions

Also Published As

Publication number Publication date
CN108544491B (en) 2020-04-28

Similar Documents

Publication Publication Date Title
Cheng et al. Are we ready for unmanned surface vehicles in inland waterways? The usvinland multisensor dataset and benchmark
CN110673115B (en) Combined calibration method, device, equipment and medium for radar and integrated navigation system
US6442476B1 (en) Method of tracking and sensing position of objects
KR102159376B1 (en) Laser scanning system, laser scanning method, mobile laser scanning system and program
CN107883932B (en) Measurement system and method applicable to island and beach
CN108663681A (en) Mobile Robotics Navigation method based on binocular camera Yu two-dimensional laser radar
CN103424112B (en) A kind of motion carrier vision navigation method auxiliary based on laser plane
CN110889808B (en) Positioning method, device, equipment and storage medium
EP4033324B1 (en) Obstacle information sensing method and device for mobile robot
CN108544491A (en) A kind of moving robot obstacle avoiding method considering distance and two factor of direction
CN113587930B (en) Indoor and outdoor navigation method and device of autonomous mobile robot based on multi-sensor fusion
CN110427042A (en) Unmanned plane low latitude barrier-avoiding method based on ultrasonic wave and binocular vision
CN112068152A (en) Method and system for simultaneous 2D localization and 2D map creation using a 3D scanner
Kim et al. Autonomous mobile robot localization and mapping for unknown construction environments
CN110645960A (en) Distance measurement method, terrain following distance measurement method, obstacle avoidance distance measurement method and device
CN110864692A (en) Pose determination method of heading machine
Csaba et al. Differences between Kinect and structured lighting sensor in robot navigation
CN113607166B (en) Indoor and outdoor positioning method and device for autonomous mobile robot based on multi-sensor fusion
CN114266821A (en) Online positioning method and device, terminal equipment and storage medium
CN112731337B (en) Map construction method, device and equipment
CN117308982A (en) Positioning method and device for underwater cleaning robot of nuclear power station
Kim et al. Development of an Autonomous Mobile Robot in the Outdoor Environments with a Comparative Survey of LiDAR SLAM
CN108663537B (en) Offshore wind measuring method and system
US20220089166A1 (en) Motion state estimation method and apparatus
CN105425246A (en) Method for ship-borne integrated measurement system precision calibration in water pool

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