CN109760030A - A kind of robot control system based on deep learning - Google Patents
A kind of robot control system based on deep learning Download PDFInfo
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- CN109760030A CN109760030A CN201910076580.5A CN201910076580A CN109760030A CN 109760030 A CN109760030 A CN 109760030A CN 201910076580 A CN201910076580 A CN 201910076580A CN 109760030 A CN109760030 A CN 109760030A
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Abstract
The present invention relates to robotic technology fields, especially a kind of robot control system based on deep learning, including central processing unit, central processing unit is arranged in control centre, robot, allotment manipulation is carried out to whole system, central processing unit is electrically connected with main control module, central processing unit is electrically connected with instructions match module, instructions match module is electrically connected with instruction control module, instruction control module is electrically connected with motion-control module, motion-control module is electrically connected with speed regulation module, angle regulates and controls module and dynamics regulates and controls module, the robot control system step based on deep learning is clear, operation interface is easily understood, speed regulation, angle regulation and dynamics regulation can carry out comprehensive regulation to robot, the presence of main control module can guarantee the steady and safe operation of the system simultaneously.
Description
Technical field
The present invention relates to robotic technology field more particularly to a kind of robot control systems based on deep learning.
Background technique
Nowadays the characteristics of robot develops can be summarized as, and in transverse direction, application surface is more and more wider.Expanded by 95% industrial application
Open up the non-industrial applications to more areas.As perform an operation, fruit-picking, beta pruning, tunnelling, investigation, the removal of mines, there are also space machines
Device people, Qian Hai robot.Robot application is without limitation, as long as thinkable, so that it may go to create and realize；On longitudinal direction, robot
Type can be more and more, as enter human body microrobot, it has also become a new direction may diminish to as a grain of rice
Size, robot automtion are strengthened, and robot can be more clever.Present robot control system operation interface is multiple
Miscellaneous, manipulation is got up inadequate for the control type of robot, while the stationarity of whole system is not good enough.
Summary of the invention
The purpose of the present invention is to solve disadvantage existing in the prior art, and propose a kind of based on deep learning
Robot control system.
To achieve the goals above, present invention employs following technical solutions:
A kind of robot control system based on deep learning, including central processing unit are designed, the central processing unit is set
It sets in control centre, robot, allotment manipulation is carried out to whole system, which is characterized in that the central processing unit is electrically connected with
Main control module, the central processing unit are electrically connected with instructions match module, and described instruction matching module is electrically connected with instruction
Control module, described instruction control module are electrically connected with motion-control module, and the motion-control module is electrically connected with speed
Degree regulation module, angle regulation module and dynamics regulate and control module, when carrying out instruction manipulation to robot, need main control module
It is manipulated, after main control module, which issues, to be instructed, central processing unit receives instruction, and is further located to instruction
Reason, after being disposed, instruction is transmitted to instructions match module and carries out instructions match by central processing unit, when instructions match is complete
After finishing, director data is transmitted to instruction control module and carries out instruction control processing by instructions match module, instruction control here
System include instruction classification issued with instruction, after being finished, instruction control module using instruct to motion-control module into
Row motion control, after motion control finishes, motion-control module regulates and controls information data transmission to speed regulation module, angle
Module and dynamics regulate and control module, and speed regulation module can adjust the speed of travel of robot, and angle regulation module can be adjusted
The bending angle of whole robot all parts, dynamics regulation module can regulate and control dynamics when robot motion.
Preferably, the speed regulation module, angle regulation module and dynamics regulation module are electrically connected with data biography
Sensor, the data pick-up is electrically connected with feedback module, and feedback module is electrically connected with the central processing unit, speed regulation
Module, angle regulation module and the dynamics regulation module information data transmission that needs in real time to get itself are to data sensor
Device carries out the transmission of data, and data pick-up sends data to feedback module, these data are transmitted to center by feedback module
What processor was concentrated analyzes again, reprocesses.
Preferably, the feedback module is electrically connected with alarm module, when feedback module receives data more than normal value
When, in order to avoid robot breaks down, observer is damaged, the alarm module of feedback module triggering at this time is reported
It is alert, avoid the generation of accident.
Preferably, the data pick-up includes pressure acquisition module, velocity analysis module and angle Observation Blocks, pressure
Power acquisition module can acquire the pressure value between robot all parts, prevent pressure value from looking into overload, velocity analysis module
The travel speed of robot can be analyzed, preventing its speed is more than setting value, and angle Observation Blocks can observe machine
The bending angle of people's all parts, preventing the change of its angle is more than expected value.
Preferably, the central processing unit is electrically connected with state display module, when robot is run, not necessarily
Everyone has the opportunity to close-ups, and state display module can carry out short distance biography to the real-time imaging of robot at this time
It is defeated.
Preferably, the central processing unit is electrically connected with speech recognition module, and the speech recognition module is electrically connected
There is voice acquisition module, since the system is the system for controlling speech recognition machine people, voice acquisition module can be to language
The voice of sound sender is acquired, and acquisition finishes speech recognition module and identifies to the content of voice, is analyzed and is handled, will
These voices, which are converted into being transmitted to central processing unit after data, is reprocessed.
Preferably, the main control module includes robot control module, and the robot control module is electrically connected useful
Family login module, real-time parameter display module and supervising platform management module, robot control module can to robot into
Row centralized control itself is exactly the sender of robot instruction, when real-time parameter display module can show robot operation
Various parameters, if while manager need to carry out user via user log-in block when needing to manipulate robot
It logs in, supervising platform management module can manage robot control module concentratedly.
Preferably, the motion-control module is electrically connected with navigation obstacle avoidance module, and navigation obstacle avoidance module can guarantee this
Robot automatic dodging roadblock in the process of running, avoids robot from meeting roadblock and damages.
A kind of robot control system based on deep learning proposed by the present invention, beneficial effect are: should be based on depth
The robot control system step of study is clear, and operation interface is easily understood, and speed regulation, angle regulation and dynamics regulate and control energy
It is enough that comprehensive regulation is carried out to robot, while the presence of main control module can guarantee the steady and safe operation of the system.
Detailed description of the invention
Fig. 1 is a kind of system block diagram of the robot control system based on deep learning proposed by the present invention.
Fig. 2 is a kind of main control module system block diagram of the robot control system based on deep learning proposed by the present invention.
Fig. 3 is a kind of data collection system frame of the robot control system based on deep learning proposed by the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Referring to Fig.1-3, a kind of robot control system based on deep learning, including central processing unit, central processing unit
It is arranged in control centre, robot, allotment manipulation is carried out to whole system, central processing unit is electrically connected with main control module, center
Processor is electrically connected with instructions match module, and instructions match module is electrically connected with instruction control module, instruction control module
It is electrically connected with motion-control module, motion-control module is electrically connected with speed regulation module, angle regulation module and power
Degree regulation module needs main control module to manipulate it when carrying out instruction manipulation to robot, when main control module sending refers to
After order, central processing unit receives instruction, and instruction is further processed, after being disposed, central processing unit
Instruction is transmitted to instructions match module and carries out instructions match, after instructions match finishes, instructions match module will instruct number
Instruction control processing is carried out according to instruction control module is transmitted to, instruction control here includes that instruction classification is issued with instruction, when
After being finished, instruction control module carries out motion control to motion-control module using instruction, after motion control finishes,
Information data transmission to speed regulation module, angle regulation module and dynamics are regulated and controled module, speed tune by motion-control module
Control module can adjust the speed of travel of robot, and angle regulation module can adjust the bending angle of robot all parts,
Dynamics regulation module can regulate and control dynamics when robot motion.
Speed regulation module, angle regulation module and dynamics regulation module are electrically connected with data pick-up, and data pass
Sensor is electrically connected with feedback module, and feedback module is electrically connected with the central processing unit, and speed regulation module, angle regulate and control mould
The information data transmission that block and dynamics regulation module need in real time to get itself carries out the biography of data to data pick-up
Defeated, data pick-up sends data to feedback module, these data are transmitted to central processing unit and concentrated by feedback module
Analyze, reprocess again.Feedback module is electrically connected with alarm module, when feedback module receives data more than normal value
It waits, in order to avoid robot breaks down, observer is damaged, the alarm module of feedback module triggering at this time is alarmed,
Avoid the generation of accident.Data pick-up includes that pressure acquisition module, velocity analysis module and angle Observation Blocks, pressure are adopted
Collection module can acquire the pressure value between robot all parts, prevent pressure value from overloading, velocity analysis module can
The travel speed of robot is analyzed, prevent its speed be more than setting value, angle Observation Blocks can observer robot it is each
The bending angle of a component, preventing the change of its angle is more than expected value.
Central processing unit is electrically connected with state display module, and when robot is run, not necessarily everyone has
Chance close-ups, state display module can carry out short range transmission to the real-time imaging of robot at this time.Central processing
Device is electrically connected with speech recognition module, and speech recognition module is electrically connected with voice acquisition module, since the system is control
The system of speech recognition machine people, therefore voice acquisition module can be acquired the voice of voice sender, acquisition finishes
Speech recognition module identifies the content of voice, analyzes and handles, and is transmitted to center after these voices are converted into data
Processor is reprocessed.
Main control module includes robot control module, and robot control module is electrically connected with user log-in block, in real time
Parameter display module and supervising platform management module, robot control module can carry out centralized control to robot,
Body is exactly the sender of robot instruction, and real-time parameter display module can show various parameters when robot operation, simultaneously
If manager needs to manipulate robot, need to carry out user's login, supervising platform pipe via user log-in block
Reason module can manage robot control module concentratedly.Motion-control module is electrically connected with navigation obstacle avoidance module, leads
Boat obstacle avoidance module can guarantee robot automatic dodging roadblock in the process of running, avoid robot from meeting roadblock and cause to damage
It is bad.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (8)
1. a kind of robot control system based on deep learning, including central processing unit, the central processing unit is arranged in machine
Qi Ren control centre carries out allotment manipulation to whole system, which is characterized in that the central processing unit is electrically connected with master control mould
Block, the central processing unit are electrically connected with instructions match module, and described instruction matching module is electrically connected with instruction control mould
Block, described instruction control module are electrically connected with motion-control module, and the motion-control module is electrically connected with speed regulation
Module, angle regulation module and dynamics regulate and control module, to robot carry out instruction manipulation when, need main control module to its into
Row manipulation, after main control module, which issues, to be instructed, central processing unit receives instruction, and instruction is further processed, when
After being disposed, instruction is transmitted to instructions match module and carries out instructions match by central processing unit, when instructions match finishes it
Afterwards, director data is transmitted to instruction control module and carries out instruction control processing by instructions match module, and instruction here controls packet
It includes instruction classification to issue with instruction, after being finished, instruction control module transports motion-control module using instruction
Dynamic control, after motion control finishes, information data transmission to speed regulation module, angle are regulated and controled module by motion-control module
And dynamics regulates and controls module, speed regulation module can adjust the speed of travel of robot, and angle regulation module can adjust machine
The bending angle of device people's all parts, dynamics regulation module can regulate and control dynamics when robot motion.
2. a kind of robot control system based on deep learning according to claim 1, which is characterized in that the speed
Regulation module, angle regulation module and dynamics regulation module are electrically connected with data pick-up, and the data pick-up is electrical
It is connected with feedback module, and feedback module is electrically connected with the central processing unit, speed regulation module, angle regulation module and power
The information data transmission that degree regulation module needs in real time to get itself carries out the transmission of data to data pick-up, and data pass
Sensor sends data to feedback module, feedback module by these data be transmitted to that central processing unit concentrates analyze again,
Reprocessing.
3. a kind of robot control system based on deep learning according to claim 2, which is characterized in that the feedback
Module is electrically connected with alarm module, when feedback module receives data more than normal value, in order to avoid machine human hair
Raw failure, damages observer, and the alarm module of feedback module triggering at this time is alarmed, and avoids the generation of accident.
4. a kind of robot control system based on deep learning according to claim 2, which is characterized in that the data
Sensor includes pressure acquisition module, velocity analysis module and angle Observation Blocks, and pressure acquisition module can acquire machine
Pressure value between people's all parts, prevents pressure value from looking into overload, and velocity analysis module can be to the travel speed of robot
It is analyzed, preventing its speed is more than setting value, and angle Observation Blocks are capable of the bending angle of observer robot all parts, is prevented
Only the change of its angle is more than expected value.
5. a kind of robot control system based on deep learning according to claim 1, which is characterized in that the center
Processor is electrically connected with state display module, and when robot is run, not necessarily everyone has the opportunity to closely see
It examines, state display module can carry out short range transmission to the real-time imaging of robot at this time.
6. a kind of robot control system based on deep learning according to claim 1, which is characterized in that the center
Processor is electrically connected with speech recognition module, and the speech recognition module is electrically connected with voice acquisition module, since this is
System is the system for controlling speech recognition machine people, therefore voice acquisition module can be acquired the voice of voice sender,
Acquisition finishes speech recognition module and identifies to the content of voice, analyzes and handles, passes after these voices are converted into data
Central processing unit is transported to be reprocessed.
7. a kind of robot control system based on deep learning according to claim 1, which is characterized in that the master control
Module includes robot control module, and the robot control module is electrically connected with user log-in block, real-time parameter is shown
Module and supervising platform management module, robot control module can carry out centralized control to robot, itself be exactly machine
The sender of device people instruction, real-time parameter display module can show various parameters when robot operation, if while managing
When person needs to manipulate robot, need to carry out user's login, supervising platform management module energy via user log-in block
It is enough that robot control module is managed concentratedly.
8. a kind of robot control system based on deep learning according to claim 1, which is characterized in that the movement
Control module is electrically connected with navigation obstacle avoidance module, and navigation obstacle avoidance module can guarantee that the robot hides automatically in the process of running
Roadblock is kept away, avoids robot from meeting roadblock and damages.
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| Application Number | Priority Date | Filing Date | Title |
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| CN110978001A (en) * | 2019-11-28 | 2020-04-10 | 江苏金猫机器人科技有限公司 | Industrial robot system based on voice control |
| CN117697769A (en) * | 2024-02-06 | 2024-03-15 | 成都威世通智能科技有限公司 | Robot control system and method based on deep learning |
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Application publication date: 20190517 |