CN207432213U - The Intelligent control system of mobile robot - Google Patents
The Intelligent control system of mobile robot Download PDFInfo
- Publication number
- CN207432213U CN207432213U CN201721144808.2U CN201721144808U CN207432213U CN 207432213 U CN207432213 U CN 207432213U CN 201721144808 U CN201721144808 U CN 201721144808U CN 207432213 U CN207432213 U CN 207432213U
- Authority
- CN
- China
- Prior art keywords
- mobile robot
- intelligent control
- network server
- signal
- control signal
- 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.)
- Active
Links
Landscapes
- Manipulator (AREA)
Abstract
The utility model provides a kind of Intelligent control system of mobile robot, and including intelligent control device and network server, network server includes signal adapter;Mobile robot includes executing agency and sensing mechanisms;Network server passes through network connection with intelligent control device and mobile robot respectively;Intelligent control device is sent to network server for receiving externally input first control signal and generating the second control signal;Signal adapter is used to that the second control signal to be converted into the 3rd control signal and is sent to mobile robot;The executing agency of mobile robot is used to perform task according to the 3rd control signal;The sensing mechanisms of mobile robot is used to gather perception information and sends it to network server;Network server is additionally operable to receive perception information and perception information is sent to intelligent control device.The utility model forms rational network-based interactive mode, forms network closed-loop control, advances the development of mobile robot industry.
Description
Technical field
The utility model is related to mobile robot control technical field, more particularly to a kind of Intelligent control of mobile robot
System.
Background technology
With the development of the society, mobile robot has been progressed into the Working Life of people, people can be replaced
Complete a series of work.In the process to work in the mobile robot auxiliary mankind, the mould of opened loop control is generally all used
Formula, such as the mankind manipulate mobile robot in visual range and carry out operation or by remote control that mobile robot is all
The scene enclosed is presented in operator at the moment after being captured using multiple cameras.In mobile robot more and more intelligent today, this
The simple opened loop control of kind hinders the intelligent development of mobile robot.From the angle analysis of intelligent Service mobile robot,
Current mobile robot can't be entirely autonomous completion complex task, but in given scenario and the situation of Given task
Under, mobile robot can realize very high operating efficiency.If it can reasonably add in the guidance and supervision of the mankind, robot
The mankind can be aided in be engaged in complicated work in the level of bigger.
Utility model content
The technical problems to be solved in the utility model is to overcome in the prior art to the control mode of mobile robot
For simple opened loop control entirely autonomously so that the defects of robot can't complete complex task, and work efficiency is relatively low carries
It is grasped for a kind of intelligence that mobile robot is enabled to autonomously carry out complex task and the high mobile robot of work efficiency
Control system.
The utility model is to solve above-mentioned technical problem by following technical proposals:
Originally it is the Intelligent control system that utility model provides a kind of mobile robot, feature is, including intelligent control
Control equipment and network server, the network server include signal adapter;The mobile robot include executing agency and
Sensing mechanisms;
The network server passes through network connection with the intelligent control device and the mobile robot respectively;
The intelligent control device sends for receiving externally input first control signal and generating the second control signal
To the network server;
The network server is used to receive second control signal;
The signal adapter is used to that second control signal to be converted into the 3rd control signal and is sent to the shifting
Mobile robot;
The executing agency of the mobile robot is used to perform task according to the 3rd control signal;
The sensing mechanisms of the mobile robot is used to gather perception information and the perception information is sent to the net
Network server;
The network server is additionally operable to receive the perception information and the perception information is sent to the intelligence to control
Control equipment.
In the present solution, the manipulation side namely mankind send the first control signal to intelligent control device, intelligent control device
The signal is converted into the second control signal and is sent to network server, the signal adapter in network server assist the mankind and
Two-way interactive is carried out between mobile robot, the 3rd that the second control signal received is parsed into that mobile machine can identify
Control signal, the executing agency of mobile robot perform task according to the 3rd control signal, and the sensing mechanisms of mobile robot is adopted
The perception information of collection passes network server back, and the perception information received can be sent to intelligent control and set by network server at this time
It is standby, the mankind by intelligent control device can Understanding perception information, completed according to these information to mobile robot into one
The manipulation of step, so as to complete a closed loop interaction.
Present solution provides a kind of systems of network-based closed-loop control mobile robot, and the mankind is allow arbitrarily to have
The place of network carries out mobile robot reliable and stable control, and diversified Control Cooling causes human intelligence and robot
The interaction of intelligence becomes simpler.The mankind by real-time performance to mobile robot rational guidance and supervision, in the mankind and
Network closed-loop control is formd between mobile robot so that mobile robot can complete entirely autonomously complex task and
It improves work efficiency.
It is preferred that the intelligent control device include PC (personal computer, personal computer), tablet computer,
VR (virtual reality technology) the brain waves helmet, AR (augmented reality) glasses, touch glove and/or the photography of 3D (three-dimensional) body-sensing
Machine.
In the present solution, the VR brain waves helmet can identify brain wave and the result of identification is sent to network server;3D
Body-sensing video camera can import the work(such as dynamic capture immediately, image identification, microphone input, speech recognition, community interactive simultaneously
Energy.
It is preferred that the network connection includes cable network connection and wireless network connection.
It is preferred that first control signal includes natural language signal and/or machine language signal.
In the present solution, the mankind and mobile robot carry out ditch using natural language signal or the machine language signal of setting
It is logical, so as to efficiently use the intelligent of mobile robot, the dry of the mankind can be introduced during mobile robot tasks carrying
Pre- supervision, optimizes machine intelligence using mankind's feedback, greatly reduces the machine intelligence trial and error time, forms intensified learning model
Afterwards, machine intelligence can independently complete work.This programme forms rational network-based interactive mode, promotes moving machine
The development of device people's industry.
It is preferred that the natural language signal includes voice, word, gesture and/or brain wave, the machine language signal
Including button operation instruction and/or handle operational order.
In the present solution, the form of natural language signal is varied, can be phonetic entry, word input, gesture operation
Or the brain wave identified input of the mankind, as long as the operation of the mankind can be intended to collect by intelligent control device,
The operation intention of the mankind is converted into the second control signal and exported to network server by intelligent control device.
It is preferred that the sensing mechanisms includes camera and/or rangefinder.
In the present solution, sensing mechanisms is used to gather the various information in mobile robot execution task process, including distance
Image, video or distance etc..
It is preferred that the executing agency includes motor and/or steering engine.
In the present solution, executing agency performs task according to the 3rd control signal i.e. control instruction, executing agency according to
The type of task it is different and different.
It is preferred that the signal adapter is additionally operable to the perception information being converted into visual information and be sent to described
Intelligent control device, the intelligent control device are additionally operable to receive and export the visual information.
In the present solution, perception information can be explained or translate into visual information and be sent to intelligent control by signal adapter
Control equipment, intelligent control device shows manipulation side after the visual information is received, such as is visualized by screen display
Information is shown by forms such as voice broadcasts.
It is preferred that the network server is additionally operable to store second control signal and/or the perception information.
The positive effect of the utility model is:The Intelligent control system of mobile robot provided by the utility model
The mankind and mobile robot are handed over using natural language signal or the machine language signal of setting by network
Mutually, so as to efficiently use the intelligent of mobile robot, the intervention of the mankind is introduced in mobile robot performs task process
Supervision, optimizes machine intelligence using mankind's feedback, greatly reduces the machine intelligence trial and error time, after forming intensified learning model,
Machine intelligence can independently complete complex task and improve work efficiency.The utility model forms rational network-based
Interactive mode forms network closed-loop control, advances the development of mobile robot industry.
Description of the drawings
Fig. 1 is the structure diagram of the Intelligent control system of the mobile robot of the utility model embodiment 1.
Fig. 2 is the structure diagram of the Intelligent control system of the mobile robot of the utility model embodiment 2.
Specific embodiment
It names preferred embodiment, and becomes apparent from intactly illustrating the utility model with reference to attached drawing.
Embodiment 1
As shown in Figure 1, a kind of Intelligent control system 1 of mobile robot, including intelligent control device and network server
11, the network server 11 includes signal adapter 1101;Mobile robot 2 includes executing agency and sensing mechanisms.This reality
It applies intelligent control device in example and uses the VR brain waves helmet 12, motor 21 and camera is respectively adopted in executing agency and sensing mechanisms
22。
The network server 11 passes through network connection with the VR brain waves helmet 12 and the mobile robot 2 respectively.
The VR brain waves helmet 12 is for receiving the first control signal for being inputted by manipulation side 3 from its exterior and by described the
One control signal is converted into the second control signal and is sent to the network server 11, and the first control signal is behaviour in the present embodiment
The eeg signal of prosecutor 3.The network server 11 is used to receive and store second control signal;The signal conversion
Device 1101 is used to that second control signal to be parsed into the 3rd control signal and is sent to the mobile robot 2;The shifting
The motor 21 of mobile robot 2 is used to perform task according to the 3rd control signal;The camera 22 of the mobile robot 2 is used
In acquisition perception information and the perception information is sent to the network server 11.Perception information is camera shooting in the present embodiment
The image and video of first 22 capture.
The network server 11 is additionally operable to receive and store the perception information, and the signal adapter 1101 is additionally operable to
The perception information is parsed into visual information and is sent to the VR brain waves helmet 12, the VR brain waves helmet 12 is additionally operable to receive
And show that the visual information is used for operation side 3.
In the present embodiment, manipulator i.e. the mankind send control meaning by intelligent control device, that is, VR brain waves helmet 12
Figure is intended to eeg signal to network server 11, the control.For receiving and storing data, network takes network server 11
The signal adapter 1101 being engaged in device 11 assists human intelligence and intelligent robot to carry out two-way interactive, and the control received is anticipated
Figure signal resolution is sent to the executing agency i.e. motor 21 of mobile robot 2 into the 3rd control signal that robot can identify, moves
Sensing mechanisms, that is, camera 22 of mobile robot 2 obtains perception information and passes network server 11 back, at this time signal adapter
1101 the perception information of mobile robot 2 can be understood and translate change into the mankind can with the information of Understanding, so as to
Complete a closed loop interaction.
Present embodiments provide a kind of Intelligent control system 1 of mobile robot, by the system mankind can and machine
People is linked up using natural language signal or the machine language signal of setting, so as to efficiently use the intelligence of mobile robot
Property, and the intervention of the introducing mankind is supervised during mobile robot tasks carrying, optimizes machine intelligence using mankind's feedback,
The machine intelligence trial and error time is greatly reduced, after forming intensified learning model, machine intelligence can independently complete work.
Embodiment 2
As shown in Fig. 2, as different from Example 1 in the present embodiment intelligent control device use PC12 ', executing agency and
Steering engine 21 ' and rangefinder 22 ' is respectively adopted in sensing mechanisms.
Network server 11 passes through network connection with PC12 ' and the mobile robot 2 ' respectively.
PC12 ' is for receiving the first control signal inputted by manipulation side 3 ' from its exterior and manipulate letter by described first
It number is converted into the second control signal and is sent to the network server 11, the first control signal is logical for manipulation side 3 ' in the present embodiment
Cross the data-signal of the input through keyboard of PC12 '.The network server 11 is used to receive and store second control signal;Institute
Signal adapter 1101 is stated for second control signal to be parsed into the 3rd control signal and is sent to the mobile machine
People 2 ';The steering engine 21 ' of the mobile robot 2 ' is used to perform task according to the 3rd control signal;The mobile robot
2 ' rangefinder 22 ' is used to obtain perception information and the perception information is sent to the network server 11.The present embodiment
Middle perception information is the range information that rangefinder 22 ' gathers.
The network server 11 is additionally operable to receive and store the perception information, and sends this information to PC12 ',
PC12 ' is additionally operable to receive and shows that the visual information is used for operation side 3 '.
In the present embodiment, manipulator i.e. the mankind send control by intelligent control device, that is, PC12 ' and are intended to network
Server 11, the control are intended to the data-signal of the input through keyboard of PC12 '.Network server 11 is used to receive and store number
According to the signal adapter 1101 in network server 11 assists human intelligence and intelligent robot to carry out two-way interactive, reception
To control signal of intent the 3rd control signal that is parsed into robot and can identify be sent to the steering engine 21 ' of mobile robot 2 ',
The rangefinder 22 ' of mobile robot 2 ' obtains perception information and passes network server 11 back, and network server 11 receives and stores
The perception information, and PC12 ' is sent this information to, PC12 ' is additionally operable to receive and shows the visual information for operation
Side 3 ' uses, so as to complete a closed loop interaction.
A kind of Intelligent control system 1 ' of mobile robot is present embodiments provided, can and be moved by the system mankind
Robot is linked up using natural language signal, so as to efficiently use the intelligent of mobile robot, and in mobile robot
The intervention supervision of the mankind is introduced during tasks carrying, optimizes machine intelligence using mankind's feedback, greatly reduces machine intelligence
The trial and error time, after forming intensified learning model, machine intelligence can independently complete work.
Although the foregoing describe specific embodiment of the present utility model, it will be appreciated by those of skill in the art that
These are merely examples, and the scope of protection of the utility model is defined by the appended claims.Those skilled in the art
Member can make these embodiments numerous variations or repair on the premise of the principle and essence without departing substantially from the utility model
Change, but these change and modification each fall within the scope of protection of the utility model.
Claims (9)
1. the Intelligent control system of a kind of mobile robot, which is characterized in that including intelligent control device and network server, institute
Stating network server includes signal adapter;The mobile robot includes executing agency and sensing mechanisms;
The network server passes through network connection with the intelligent control device and the mobile robot respectively;
The intelligent control device is sent to institute for receiving externally input first control signal and generating the second control signal
State network server;
The network server is used to receive second control signal;
The signal adapter is used to that second control signal to be converted into the 3rd control signal and is sent to the moving machine
Device people;
The executing agency of the mobile robot is used to perform task according to the 3rd control signal;
The sensing mechanisms of the mobile robot takes for gathering perception information and the perception information being sent to the network
Business device;
The network server is additionally operable to receive the perception information and the perception information is sent to the intelligent control to set
It is standby.
2. the Intelligent control system of mobile robot as described in claim 1, which is characterized in that the intelligent control device bag
Include PC, tablet computer, the VR brain waves helmet, AR glasses, touch glove and/or 3D body-sensing video cameras.
3. the Intelligent control system of mobile robot as described in claim 1, which is characterized in that the network connection includes
Line network connection and wireless network connection.
4. the Intelligent control system of mobile robot as described in claim 1, which is characterized in that the first control signal bag
Include natural language signal and/or machine language signal.
5. the Intelligent control system of mobile robot as claimed in claim 4, which is characterized in that the natural language signal bag
Voice, word, gesture and/or brain wave are included, the machine language signal includes button operation instruction and/or handle operation refers to
Order.
6. the Intelligent control system of mobile robot as described in claim 1, which is characterized in that the sensing mechanisms includes taking the photograph
As head and/or rangefinder.
7. the Intelligent control system of mobile robot as described in claim 1, which is characterized in that the executing agency includes electricity
Machine and/or steering engine.
8. the Intelligent control system of mobile robot as described in claim 1, which is characterized in that the signal adapter is also used
In the perception information is converted into visual information and is sent to the intelligent control device, the intelligent control device is also used
In receiving and export the visual information.
9. the Intelligent control system of mobile robot as described in claim 1, which is characterized in that the network server is also used
In storage second control signal and/or the perception information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201721144808.2U CN207432213U (en) | 2017-09-07 | 2017-09-07 | The Intelligent control system of mobile robot |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201721144808.2U CN207432213U (en) | 2017-09-07 | 2017-09-07 | The Intelligent control system of mobile robot |
Publications (1)
Publication Number | Publication Date |
---|---|
CN207432213U true CN207432213U (en) | 2018-06-01 |
Family
ID=62301331
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201721144808.2U Active CN207432213U (en) | 2017-09-07 | 2017-09-07 | The Intelligent control system of mobile robot |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN207432213U (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107538492A (en) * | 2017-09-07 | 2018-01-05 | 福物(上海)机器人科技有限公司 | Intelligent control system, method and the intelligence learning method of mobile robot |
-
2017
- 2017-09-07 CN CN201721144808.2U patent/CN207432213U/en active Active
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107538492A (en) * | 2017-09-07 | 2018-01-05 | 福物(上海)机器人科技有限公司 | Intelligent control system, method and the intelligence learning method of mobile robot |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102854983B (en) | A kind of man-machine interaction method based on gesture identification | |
CN105807926A (en) | Unmanned aerial vehicle man-machine interaction method based on three-dimensional continuous gesture recognition | |
CN107239728A (en) | Unmanned plane interactive device and method based on deep learning Attitude estimation | |
CN107538492A (en) | Intelligent control system, method and the intelligence learning method of mobile robot | |
CN106354264A (en) | Real-time man-machine interaction system based on eye tracking and a working method of the real-time man-machine interaction system | |
CN108415386A (en) | Augmented reality system and its working method for intelligent workshop | |
CN110223413A (en) | Intelligent polling method, device, computer storage medium and electronic equipment | |
CN104656893A (en) | Remote interaction control system and method for physical information space | |
WO2022227664A1 (en) | Robot posture control method, robot, storage medium and computer program | |
Li et al. | Teleoperation of a virtual icub robot under framework of parallel system via hand gesture recognition | |
CN207432213U (en) | The Intelligent control system of mobile robot | |
Liu et al. | A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning | |
Shang-Liang et al. | Using deep learning technology to realize the automatic control program of robot arm based on hand gesture recognition | |
Wang et al. | Unsupervised representation learning for visual robotics grasping | |
CN107368244A (en) | The hanging operating method and device of a kind of smart machine | |
CN109784156A (en) | A kind of full Intelligent unattended business hall safety monitoring system based on artificial intelligence | |
CN106789332A (en) | Computer room visualized management operation platform and method | |
CN116189054A (en) | Man-machine cooperation method and man-machine cooperation system based on neural network | |
CN114494542A (en) | Character driving animation method and system based on convolutional neural network | |
Gao et al. | Study of improved Yolov5 algorithms for gesture recognition | |
CN113894779B (en) | Multi-mode data processing method applied to robot interaction | |
CN109089076A (en) | A kind of robot motion real-time monitoring system | |
Shan et al. | A deep learning-based visual perception approach for mobile robots | |
Belattar et al. | An embedded system-based hand-gesture recognition for human-drone interaction | |
Li et al. | Feature Point Matching for Human-Computer Interaction Multi-Feature Gesture Recognition Based on Virtual Reality VR Technology |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |