CN112882475A - Motion control method and device of Mecanum wheel type omnibearing mobile robot - Google Patents
Motion control method and device of Mecanum wheel type omnibearing mobile robot Download PDFInfo
- Publication number
- CN112882475A CN112882475A CN202110101679.3A CN202110101679A CN112882475A CN 112882475 A CN112882475 A CN 112882475A CN 202110101679 A CN202110101679 A CN 202110101679A CN 112882475 A CN112882475 A CN 112882475A
- Authority
- CN
- China
- Prior art keywords
- mobile robot
- laser radar
- mecanum
- vehicle body
- omni
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000033001 locomotion Effects 0.000 title claims abstract description 32
- 230000008569 process Effects 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 6
- 230000004888 barrier function Effects 0.000 claims description 3
- 239000003638 chemical reducing agent Substances 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 3
- 238000011897 real-time detection Methods 0.000 claims description 3
- 230000008878 coupling Effects 0.000 claims description 2
- 238000010168 coupling process Methods 0.000 claims description 2
- 238000005859 coupling reaction Methods 0.000 claims description 2
- 230000009977 dual effect Effects 0.000 claims 1
- 230000005611 electricity Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
- G05D1/024—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0221—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0223—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving speed control of the vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Optics & Photonics (AREA)
- Electromagnetism (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
The invention provides a motion control method and a device of a Mecanum wheel type omnibearing mobile robot, which realize the movement of the omnibearing mobile robot from an initial position to a target position by controlling the speed and the running direction of Mecanum wheels; in the moving process, a laser radar sensor arranged on a vehicle body is utilized to automatically detect the surrounding environment; the embedded controller analyzes and compares the signals or the data detected by the laser radar sensor; the embedded controller controls the vehicle body to controllably and automatically move according to the analysis and comparison result of the signals or data detected by the laser radar sensor, so that the difference between the finally reached actual position and the target set position is within a preset allowable tolerance range. The omnidirectional mobile robot can be enabled to automatically run to the set target position from the current position better.
Description
Technical Field
The invention relates to the technical field of robots, in particular to a motion control method and a motion control device of a Mecanum wheel type all-directional mobile robot.
Background
In the occasions with narrow working spaces such as warehouses, corridors, high-voltage distribution rooms and the like and higher requirements on the running and steering flexibility of the robot, the robot needs to be capable of realizing the transverse and longitudinal translation and the rotation around the center of the robot under the condition of keeping the posture of the robot unchanged.
Therefore, there is a need for a mecanum wheel based omni-directional mobile robot to accomplish the above special occasion tasks.
Disclosure of Invention
In order to solve the technical problems of the background art, the invention provides a motion control method and a motion control device for a Mecanum wheel type all-directional mobile robot, which can enable the all-directional mobile robot to better automatically run from a current position to a set target position. Another objective of the present invention is to provide an omni-directional mobile robot based on mecanum wheels.
In order to achieve the purpose, the invention adopts the following technical scheme:
a motion control method of a Mecanum wheel type omnibearing mobile robot comprises the following steps:
1) the omnibearing mobile robot is moved from an initial position to a target position by controlling the speed and the running direction of the Mecanum wheels;
2) in the moving process, a laser radar sensor arranged on a vehicle body is utilized to automatically detect the surrounding environment;
3) the embedded controller analyzes and compares the signals or the data detected by the laser radar sensor;
4) the embedded controller controls the vehicle body to controllably and automatically move according to the analysis and comparison result of the signals or data detected by the laser radar sensor, so that the difference between the finally reached actual position and the target set position is within a preset allowable tolerance range.
The method specifically comprises the following steps: the omni-directional mobile robot automatically moves from an initial position to a target position by controlling the mecanum wheels, and at the same time, the movement needs to be realized by means of path planning. The mobile robot path planning mainly comprises the steps of constructing an environment map, planning a safety path to a specified target point on the basis of an experience map, and avoiding a dynamic barrier in real time in the process that the mobile robot moves to the target point; the path planning method comprises the following steps:
1) laser radar data at the current moment are obtained through measurement and are matched with an established environment map, and pose estimation of the robot is achieved;
2) after accurate pose estimation is obtained, incremental drawing of a map is performed by using data sensed by the laser radar at the current moment;
3) furthermore, in the path planning process, the laser radar can be used for realizing the real-time detection of the obstacles and carrying out the local path planning.
The path planning method comprises the following specific steps:
firstly, an embedded controller receives a task position;
secondly, the system starts global path planning, firstly, a global path from the current position of the robot to the target position is searched, and then the shortest global path is searched;
thirdly, local path planning is carried out;
fourthly, the control system carries out path following control;
step five, judging whether a motion permission instruction exists at present, if so, going to step six, and if not, going back to step two;
sixthly, sending a control command to the driver;
seventhly, judging whether the target position is reached? If so, ending the navigation; if not, returning to the third step.
The device is used for realizing the motion control method of the Mecanum wheel type omnibearing mobile robot, the omnibearing mobile robot can move in any direction on a plane, 4 Mecanum wheels are used as wheels of the omnibearing mobile robot, the Mecanum wheels only do circular steering motion on a rotating shaft of the Mecanum wheels, and a rotating bearing is rigidly connected to a vehicle body; the expected vehicle body advancing direction or the expected vehicle body steering function can be realized by coordinately calculating and changing the running speed and the running direction of the Mecanum wheels; the device comprises a vehicle body frame, Mecanum wheels, bearings, a coupling, a motor, a controller and a laser sensor.
At least one 48V30Ah lithium iron phosphate storage battery is arranged in the car body of the omnidirectional mobile robot and used for providing all power requirements of the omnidirectional mobile robot, and the lithium iron phosphate storage battery is fixed on the car body and can be detached and replaced.
Laser radar sensors are respectively installed at the front end and the rear end of the vehicle body, so that the real-time distance measurement and obstacle avoidance without dead angles in a 360-degree range around the all-directional mobile robot are realized, and real-time map construction and navigation control are performed by using the collected data of the laser radar sensors.
And 4 Mecanum wheels are respectively driven by a 48V direct current motor, so that the functions of advancing, retreating and steering of the robot are realized.
The embedded controller based on the PC is adopted to send instructions, the servo driver is controlled to drive the advancing direction and the moving speed of the direct current motor, and the servo motor is provided with a speed reducer and a rotary encoder to realize position and speed double closed-loop control.
Compared with the prior art, the invention has the beneficial effects that:
the omnibearing mobile robot based on Mecanum wheels is one of robots, according to the method of the invention, an auxiliary steering mechanism is not needed, omnibearing motion can be realized only by matching the rotating speed and steering among the wheels, the positioning, navigation, anti-collision and obstacle avoidance functions of the omnibearing mobile robot on a target point can be realized only by utilizing data measured by two laser radar sensors arranged on a vehicle body, the positioning precision is high, the whole vehicle cost is reduced, in addition, the vehicle-mounted controller adopts an embedded controller based on a PC, the computing power can be greatly improved, the data storage and processing of the sensors and the motion control function of the robot are completed in the embedded controller, the dependence of an upper computer is reduced, and the omnibearing mobile robot can independently develop tasks.
Drawings
FIG. 1 is a schematic view of an omnidirectional mobile robot according to the present invention;
FIG. 2 is a schematic view of a Mecanum wheel configuration for use with the present invention 1;
FIG. 3 is a schematic diagram of a Mecanum wheel configuration for use with the present invention, FIG. 2;
FIG. 4 is a schematic illustration of a Mecanum wheel configuration for use with the present invention 3;
fig. 5 is a general architecture diagram of the path planning of the omni-directional mobile robot according to the present invention.
In the figure: 1. a vehicle body; 2. a Kenahm wheel; 3. a servo motor; 4. a bearing; 5. an embedded controller; 6. a lithium iron phosphate battery; 7. a laser radar sensor;
21. a hub; 22. a roller; 23. the wheels rotate around the contact points of the wheels and the ground; 24. the wheel rotates around the axis of the wheel under the drive of the motor; 25. the roller rotates around the axis of the roller under the driving of friction force; 26. wheel speed; 27. an active directional velocity component; 28. a passive directional velocity component;
31. receiving a task position; 32. planning a global path; 33. planning a local path; 34. path following control; 35. judging whether a motion permission instruction exists currently; 36. sending a control command to a driver; 37, it is judged whether or not the target position is reached.
Detailed Description
The following detailed description of the present invention will be made with reference to the accompanying drawings.
The Mecanum wheel 2 type omnibearing mobile robot system is divided into a hardware system and a software system. The hardware system is shown in fig. 1 and comprises a vehicle body 1, a mecanum wheel 2, a bearing 4, a motor 3, an embedded controller 55, a lithium iron phosphate storage battery 6, a laser radar sensor 7 and the like. The software system comprises a human-computer interface, a communication interface, a control algorithm and the like.
One, hardware system constitution
The omni-directional mobile robot is a type capable of moving in any direction on a plane, and 4 Mecanum wheels 2 are used as wheels of the omni-directional mobile robot, the Mecanum wheels 2 make only circular steering motions on their rotating shafts, and the rotating bearings themselves are rigidly connected to a vehicle body 1. By coordinating the calculation and changing of the running speed and running direction of mecanum wheels 22, a desired direction of travel of body 1 or a desired steering function of body 1 may be achieved.
Referring to fig. 2-4, mecanum wheel 2 is comprised of hub 21 and rollers 22. A plurality of drum-shaped rollers 22 are distributed around the circumference of the wheel body, the outer contour of these rollers 22 coinciding with the theoretical circumference of the wheel, and the rollers 22 being free to rotate, the axis of the rollers 22 being generally at 45 ° to the wheel axis. When the motor drives the wheel to rotate, the wheel advances in a direction perpendicular to the drive shaft. The wheels of each mecanum wheel 2 are rotated 24 about their own axis by a motor, the rollers are rotated 25 about their own axis by friction, and the wheels are rotated 23 about their contact point with the ground. The wheel speed 26 can be divided into two components, an active direction 27, which is the axial direction of the roller contacting the ground, and a passive direction 28, which is the direction perpendicular to the axial direction of the roller, with the rollers 22 rotating along their respective axes. Through the combination of 4 Mecanum wheels 2 and the matching of the rotating speed and the steering among all the wheels, the moment in any direction in the plane can be synthesized, so that the vehicle body 1 is driven to move in any direction in the plane, and the omnibearing motion in the plane is realized.
At least one 48V30Ah lithium iron phosphate storage battery 6 is arranged in the vehicle body 1 of the omnidirectional mobile robot and used for providing all power requirements of the omnidirectional mobile robot, and the lithium iron phosphate storage battery 6 is fixed on the vehicle body 1 and can be detached and replaced.
And 4 Mecanum wheels 2 are respectively driven by a 48V direct current motor, so that the functions of advancing, retreating and steering of the robot are realized.
An embedded controller 5 based on a PC is adopted to send instructions, a servo driver is controlled to drive the advancing direction and the moving speed of a direct current motor, and a speed reducer and a rotary encoder are installed on the servo motor to realize position and speed double closed-loop control.
Second, motion control method
The omnidirectional mobile robot can automatically drive to the target position through a corresponding motion control method.
The invention realizes automatic control and guidance of a robot by a motion control method, which comprises the following steps:
(1) the omnibearing mobile robot is moved from the initial position to the target position by controlling the speed and the running direction of the Mecanum wheels 2,
(2) the laser radar sensor 7 arranged on the vehicle body 1 is utilized in the moving process to automatically detect the surrounding environment,
(3) the embedded controller 5 analyzes and compares the signals or data detected by the lidar sensor 7,
(4) the embedded controller 5 controls the vehicle body 1 to controllably and automatically move according to the analysis and comparison result of the signal or data detected by the laser radar sensor 7, so that the difference between the finally reached actual position and the target set position is within the preset allowable tolerance range.
The omni-directional mobile robot automatically moves from an initial position to a target position by controlling the mecanum wheels 2, and at the same time, the movement needs to be performed by means of path planning. The mobile robot path planning mainly comprises the steps of constructing an environment map, planning a safety path to a specified target point on the basis of an prior map, and avoiding a dynamic barrier in real time in the process that the mobile robot moves to the target point. Firstly, laser radar data at the current moment are obtained through measurement and are matched with an established environment map, and pose estimation of the robot is achieved;
then, after accurate pose estimation is obtained, incremental drawing of a map is performed by using data sensed by the laser radar at the current moment; furthermore, in the path planning process, the laser radar can be used for realizing the real-time detection of the obstacles and carrying out the local path planning.
Figure 5 shows a method embodying path planning:
firstly, the embedded controller 5 receives a task position 31;
secondly, the system starts global path planning 32, firstly, a global path from the current position of the robot to the target position is searched, and then the shortest global path is searched;
thirdly, local path planning 33 is carried out;
fourthly, the control system performs path following control 34;
step five, judging whether a motion permission instruction 35 exists at present, if so, going to step six, and if not, going back to step two;
a sixth step of sending a control command to the driver 36;
seventh step, determine whether the target position 37 is reached? If so, ending the navigation; if not, returning to the third step.
The above embodiments are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of the present invention is not limited to the above embodiments. The methods used in the above examples are conventional methods unless otherwise specified.
Claims (8)
1. A motion control method of a Mecanum wheel type omnibearing mobile robot is characterized by comprising the following steps:
1) the omnibearing mobile robot is moved from an initial position to a target position by controlling the speed and the running direction of the Mecanum wheels;
2) in the moving process, a laser radar sensor arranged on a vehicle body is utilized to automatically detect the surrounding environment;
3) the embedded controller analyzes and compares the signals or the data detected by the laser radar sensor;
4) the embedded controller controls the vehicle body to controllably and automatically move according to the analysis and comparison result of the signals or data detected by the laser radar sensor, so that the difference between the finally reached actual position and the target set position is within a preset allowable tolerance range.
2. The motion control method of a mecanum wheeled omni-directional mobile robot as recited in claim 1, further comprising: the omnibearing mobile robot automatically moves from an initial position to a target position, the movement is realized by controlling Mecanum wheels, and meanwhile, the movement is realized by means of path planning; the mobile robot path planning mainly comprises the steps of constructing an environment map, planning a safety path to a specified target point on the basis of an experience map, and avoiding a dynamic barrier in real time in the process that the mobile robot moves to the target point; the path planning method comprises the following steps:
1) laser radar data at the current moment are obtained through measurement and are matched with an established environment map, and pose estimation of the robot is achieved;
2) after accurate pose estimation is obtained, incremental drawing of a map is performed by using data sensed by the laser radar at the current moment;
3) in the path planning process, the laser radar can be used for realizing the real-time detection of the obstacles and carrying out the local path planning.
3. The motion control method of a mecanum wheeled omni-directional mobile robot as claimed in claim 2, wherein the path planning method comprises the following steps:
firstly, an embedded controller receives a task position;
secondly, the system starts global path planning, firstly, a global path from the current position of the robot to the target position is searched, and then the shortest global path is searched;
thirdly, local path planning is carried out;
fourthly, the control system carries out path following control;
step five, judging whether a motion permission instruction exists at present, if so, going to step six, and if not, going back to step two;
sixthly, sending a control command to the driver;
seventhly, judging whether the target position is reached? If so, ending the navigation; if not, returning to the third step.
4. A device for implementing a method of controlling motion of a mecanum wheeled type omni-directional mobile robot as claimed in claim 1, wherein the omni-directional mobile robot is capable of moving in any direction on a plane, 4 mecanum wheels are used as wheels of the omni-directional mobile robot, the mecanum wheels only make circular steering motion on a rotating shaft thereof, and a rotating bearing is rigidly connected to a vehicle body; the expected vehicle body advancing direction or the expected vehicle body steering function can be realized by coordinately calculating and changing the running speed and the running direction of the Mecanum wheels;
the device comprises a vehicle body frame, Mecanum wheels, bearings, a coupling, a motor, a controller and a laser sensor.
5. The device as claimed in claim 4, wherein at least one 48V30Ah lithium iron phosphate battery is installed in the body of the omni-directional mobile robot to supply all the electricity demand of the omni-directional mobile robot, and the lithium iron phosphate battery is fixed on the body and can be removed and replaced.
6. The device of claim 4, wherein the laser radar sensors are respectively mounted at the front end and the rear end of the vehicle body, so that real-time distance measurement and obstacle avoidance without dead angles within 360 degrees around the omni-directional mobile robot are realized, and real-time map construction and navigation control are performed by using data collected by the laser radar sensors;
7. the device as claimed in claim 4, wherein the 48V DC motor is used to drive 4 Mecanum wheels respectively, so as to realize the forward, backward and steering functions of the robot.
8. The device for controlling the motion of a Mecanum wheel type omni-directional mobile robot as claimed in claim 4, wherein the embedded PC-based controller is used to send commands to control the servo driver to drive the DC motor to move in the direction and speed, and the servo motor is provided with a speed reducer and a rotary encoder to realize position and speed dual closed-loop control.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110101679.3A CN112882475A (en) | 2021-01-26 | 2021-01-26 | Motion control method and device of Mecanum wheel type omnibearing mobile robot |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110101679.3A CN112882475A (en) | 2021-01-26 | 2021-01-26 | Motion control method and device of Mecanum wheel type omnibearing mobile robot |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112882475A true CN112882475A (en) | 2021-06-01 |
Family
ID=76051850
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110101679.3A Pending CN112882475A (en) | 2021-01-26 | 2021-01-26 | Motion control method and device of Mecanum wheel type omnibearing mobile robot |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112882475A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114166529A (en) * | 2022-02-11 | 2022-03-11 | 西华大学 | Omnidirectional steering movement variable-wheel-base P2X dummy equipment and cooperative control method thereof |
Citations (33)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101590323A (en) * | 2009-07-08 | 2009-12-02 | 北京工业大学 | A kind of one-wheel robot system and control method thereof |
CN103914068A (en) * | 2013-01-07 | 2014-07-09 | 中国人民解放军第二炮兵工程大学 | Service robot autonomous navigation method based on raster maps |
CN104165636A (en) * | 2014-08-14 | 2014-11-26 | 南京理工大学 | Transformer substation patrol robot positioning and navigation system |
CN105204394A (en) * | 2015-08-26 | 2015-12-30 | 电子科技大学 | Six-degree-of-freedom chewing robot control system |
CN105278533A (en) * | 2015-11-10 | 2016-01-27 | 北京特种机械研究所 | Omnidirectional moving platform navigation method |
CN105479433A (en) * | 2016-01-04 | 2016-04-13 | 江苏科技大学 | Omnidirectional moving transfer robot with Mecanum wheels |
CN106598039A (en) * | 2015-10-14 | 2017-04-26 | 山东鲁能智能技术有限公司 | Substation patrol robot obstacle avoidance method based on laser radar |
CN106647741A (en) * | 2016-11-16 | 2017-05-10 | 浙江工业大学 | Laser-navigation-based omnibearing motion mechanism control system |
CN106677579A (en) * | 2017-03-01 | 2017-05-17 | 上海汇聚自动化科技有限公司 | Intelligent parking robot with omni-directional moving and transferring platform and control method thereof |
CN106958373A (en) * | 2017-04-21 | 2017-07-18 | 上海汇聚自动化科技有限公司 | A kind of automatic garage intelligent omnidirectional's shifting carrying platform parking system and method |
CN107140029A (en) * | 2017-06-09 | 2017-09-08 | 华南理工大学 | A kind of fire-fighting robot chassis based on Mecanum wheel |
CN206530117U (en) * | 2017-03-01 | 2017-09-29 | 上海汇聚自动化科技有限公司 | Intelligent omnidirectional's shifting carrying platform parking robot |
CN107263511A (en) * | 2017-05-26 | 2017-10-20 | 哈尔滨工程大学 | A kind of omnidirectional's airfield runway detection robot system and its control method |
CN206691251U (en) * | 2017-04-26 | 2017-12-01 | 辽宁工业大学 | A kind of submarine AGV dollies |
CN107562048A (en) * | 2017-08-08 | 2018-01-09 | 浙江工业大学 | Dynamic obstacle avoidance control method based on laser radar |
CN107807646A (en) * | 2017-11-15 | 2018-03-16 | 东莞市松迪智能机器人科技有限公司 | A kind of control device of Mecanum wheel omnirange operation |
CN107839787A (en) * | 2017-11-15 | 2018-03-27 | 东莞市松迪智能机器人科技有限公司 | A kind of Mecanum wheel omni-directional mobile robots |
CN108478348A (en) * | 2018-05-29 | 2018-09-04 | 华南理工大学 | A kind of intelligent wheelchair and control method of interior independent navigation Internet of Things |
CN108931253A (en) * | 2018-07-24 | 2018-12-04 | 福勤智能科技(昆山)有限公司 | Air navigation aid, device, intelligently guiding vehicle and the medium of intelligently guiding vehicle |
CN109115204A (en) * | 2018-09-30 | 2019-01-01 | 四川福德机器人股份有限公司 | A kind of fine positioning system and method for navigation vehicle |
CN109202885A (en) * | 2017-06-30 | 2019-01-15 | 沈阳新松机器人自动化股份有限公司 | A kind of mobile composite machine people of material carrying |
CN109358340A (en) * | 2018-08-27 | 2019-02-19 | 广州大学 | A kind of AGV indoor map construction method and system based on laser radar |
CN109572857A (en) * | 2018-12-26 | 2019-04-05 | 石家庄铁道大学 | A kind of Mecanum wheel intelligent storage AGV and its paths planning method |
CN110162066A (en) * | 2019-06-27 | 2019-08-23 | 广东利元亨智能装备股份有限公司 | Intelligent cruise vehicle control |
CN209500102U (en) * | 2018-05-29 | 2019-10-18 | 华南理工大学 | A kind of intelligent wheelchair of interior independent navigation Internet of Things |
CN110667719A (en) * | 2019-10-16 | 2020-01-10 | 山东交通学院 | Marine omnidirectional movement wall climbing robot |
CN110834597A (en) * | 2019-11-18 | 2020-02-25 | 上海应用技术大学 | Solar all-dimensional intelligent moving trolley |
CN210323888U (en) * | 2019-08-27 | 2020-04-14 | 华中科技大学 | Autonomous map building navigation device |
CN111054553A (en) * | 2020-01-02 | 2020-04-24 | 辽宁石油化工大学 | Multifunctional split type full-automatic indoor spraying robot |
CN111142542A (en) * | 2020-01-15 | 2020-05-12 | 苏州晨本智能科技有限公司 | Omnidirectional mobile robot autonomous navigation system based on VFH local path planning method |
CN111308490A (en) * | 2020-02-05 | 2020-06-19 | 浙江工业大学 | Balance car indoor positioning and navigation system based on single-line laser radar |
CN111596659A (en) * | 2020-05-14 | 2020-08-28 | 福勤智能科技(昆山)有限公司 | Automatic guided vehicle and system based on Mecanum wheels |
US20200306983A1 (en) * | 2019-03-27 | 2020-10-01 | Lg Electronics Inc. | Mobile robot and method of controlling the same |
-
2021
- 2021-01-26 CN CN202110101679.3A patent/CN112882475A/en active Pending
Patent Citations (33)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101590323A (en) * | 2009-07-08 | 2009-12-02 | 北京工业大学 | A kind of one-wheel robot system and control method thereof |
CN103914068A (en) * | 2013-01-07 | 2014-07-09 | 中国人民解放军第二炮兵工程大学 | Service robot autonomous navigation method based on raster maps |
CN104165636A (en) * | 2014-08-14 | 2014-11-26 | 南京理工大学 | Transformer substation patrol robot positioning and navigation system |
CN105204394A (en) * | 2015-08-26 | 2015-12-30 | 电子科技大学 | Six-degree-of-freedom chewing robot control system |
CN106598039A (en) * | 2015-10-14 | 2017-04-26 | 山东鲁能智能技术有限公司 | Substation patrol robot obstacle avoidance method based on laser radar |
CN105278533A (en) * | 2015-11-10 | 2016-01-27 | 北京特种机械研究所 | Omnidirectional moving platform navigation method |
CN105479433A (en) * | 2016-01-04 | 2016-04-13 | 江苏科技大学 | Omnidirectional moving transfer robot with Mecanum wheels |
CN106647741A (en) * | 2016-11-16 | 2017-05-10 | 浙江工业大学 | Laser-navigation-based omnibearing motion mechanism control system |
CN106677579A (en) * | 2017-03-01 | 2017-05-17 | 上海汇聚自动化科技有限公司 | Intelligent parking robot with omni-directional moving and transferring platform and control method thereof |
CN206530117U (en) * | 2017-03-01 | 2017-09-29 | 上海汇聚自动化科技有限公司 | Intelligent omnidirectional's shifting carrying platform parking robot |
CN106958373A (en) * | 2017-04-21 | 2017-07-18 | 上海汇聚自动化科技有限公司 | A kind of automatic garage intelligent omnidirectional's shifting carrying platform parking system and method |
CN206691251U (en) * | 2017-04-26 | 2017-12-01 | 辽宁工业大学 | A kind of submarine AGV dollies |
CN107263511A (en) * | 2017-05-26 | 2017-10-20 | 哈尔滨工程大学 | A kind of omnidirectional's airfield runway detection robot system and its control method |
CN107140029A (en) * | 2017-06-09 | 2017-09-08 | 华南理工大学 | A kind of fire-fighting robot chassis based on Mecanum wheel |
CN109202885A (en) * | 2017-06-30 | 2019-01-15 | 沈阳新松机器人自动化股份有限公司 | A kind of mobile composite machine people of material carrying |
CN107562048A (en) * | 2017-08-08 | 2018-01-09 | 浙江工业大学 | Dynamic obstacle avoidance control method based on laser radar |
CN107839787A (en) * | 2017-11-15 | 2018-03-27 | 东莞市松迪智能机器人科技有限公司 | A kind of Mecanum wheel omni-directional mobile robots |
CN107807646A (en) * | 2017-11-15 | 2018-03-16 | 东莞市松迪智能机器人科技有限公司 | A kind of control device of Mecanum wheel omnirange operation |
CN209500102U (en) * | 2018-05-29 | 2019-10-18 | 华南理工大学 | A kind of intelligent wheelchair of interior independent navigation Internet of Things |
CN108478348A (en) * | 2018-05-29 | 2018-09-04 | 华南理工大学 | A kind of intelligent wheelchair and control method of interior independent navigation Internet of Things |
CN108931253A (en) * | 2018-07-24 | 2018-12-04 | 福勤智能科技(昆山)有限公司 | Air navigation aid, device, intelligently guiding vehicle and the medium of intelligently guiding vehicle |
CN109358340A (en) * | 2018-08-27 | 2019-02-19 | 广州大学 | A kind of AGV indoor map construction method and system based on laser radar |
CN109115204A (en) * | 2018-09-30 | 2019-01-01 | 四川福德机器人股份有限公司 | A kind of fine positioning system and method for navigation vehicle |
CN109572857A (en) * | 2018-12-26 | 2019-04-05 | 石家庄铁道大学 | A kind of Mecanum wheel intelligent storage AGV and its paths planning method |
US20200306983A1 (en) * | 2019-03-27 | 2020-10-01 | Lg Electronics Inc. | Mobile robot and method of controlling the same |
CN110162066A (en) * | 2019-06-27 | 2019-08-23 | 广东利元亨智能装备股份有限公司 | Intelligent cruise vehicle control |
CN210323888U (en) * | 2019-08-27 | 2020-04-14 | 华中科技大学 | Autonomous map building navigation device |
CN110667719A (en) * | 2019-10-16 | 2020-01-10 | 山东交通学院 | Marine omnidirectional movement wall climbing robot |
CN110834597A (en) * | 2019-11-18 | 2020-02-25 | 上海应用技术大学 | Solar all-dimensional intelligent moving trolley |
CN111054553A (en) * | 2020-01-02 | 2020-04-24 | 辽宁石油化工大学 | Multifunctional split type full-automatic indoor spraying robot |
CN111142542A (en) * | 2020-01-15 | 2020-05-12 | 苏州晨本智能科技有限公司 | Omnidirectional mobile robot autonomous navigation system based on VFH local path planning method |
CN111308490A (en) * | 2020-02-05 | 2020-06-19 | 浙江工业大学 | Balance car indoor positioning and navigation system based on single-line laser radar |
CN111596659A (en) * | 2020-05-14 | 2020-08-28 | 福勤智能科技(昆山)有限公司 | Automatic guided vehicle and system based on Mecanum wheels |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114166529A (en) * | 2022-02-11 | 2022-03-11 | 西华大学 | Omnidirectional steering movement variable-wheel-base P2X dummy equipment and cooperative control method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN207406986U (en) | A kind of pipe robot | |
CN107272694B (en) | Omnidirectional vehicle control system based on Mecanum wheel autonomous navigation | |
Doroftei et al. | Omnidirectional mobile robot-design and implementation | |
US9870002B1 (en) | Velocity control of position-controlled motor controllers | |
CN104932493A (en) | Autonomous navigation mobile robot and autonomous navigation method thereof | |
CN103487812A (en) | Ultrasonic navigation unit of greenhouse automatic moving vehicle and method | |
Dong et al. | Design and control of a tracked robot for search and rescue in nuclear power plant | |
CN109814550B (en) | A unmanned transport vechicle for sealing garden | |
Horan et al. | OzTug mobile robot for manufacturing transportation | |
CN113190020A (en) | Mobile robot queue system and path planning and following method | |
CN109572857B (en) | Mecanum wheel intelligent storage AGV and path planning method thereof | |
CN111015681A (en) | Communication machine room inspection robot system | |
CN111203879A (en) | Mechanical arm spraying robot capable of moving automatically | |
CN112882475A (en) | Motion control method and device of Mecanum wheel type omnibearing mobile robot | |
CN111679676A (en) | AGV movement track control method | |
Prayudhi et al. | Wall following control algorithm for a car-like wheeled-mobile robot with differential-wheels drive | |
Ollero et al. | Integrated mechanical design and modelling of a new mobile robot | |
CN108227702A (en) | A kind of AGV positioning navigation methods, system and storage medium based on iGPS | |
Tan et al. | A path tracking algorithm for articulated vehicle: Development and simulations | |
CN113814967B (en) | Omnidirectional mobile robot docking mechanism control system and method based on visual guidance | |
CN216184208U (en) | Mecanum wheel intelligent storage AGV of suspension mechanism formula | |
Doroftei et al. | Design and control of an omni-directional mobile robot | |
Shi | Laser guided four-wheel drive AGV trolley | |
CN203444334U (en) | Autonomous navigation system of tour guide robot | |
CN114017264A (en) | Wind power blade transfer device and double-vehicle linkage control method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210601 |
|
RJ01 | Rejection of invention patent application after publication |