CN112454348A - Intelligent robot - Google Patents

Intelligent robot Download PDF

Info

Publication number
CN112454348A
CN112454348A CN201910841992.3A CN201910841992A CN112454348A CN 112454348 A CN112454348 A CN 112454348A CN 201910841992 A CN201910841992 A CN 201910841992A CN 112454348 A CN112454348 A CN 112454348A
Authority
CN
China
Prior art keywords
robot
intelligent robot
sensor
chip microcomputer
single chip
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.)
Withdrawn
Application number
CN201910841992.3A
Other languages
Chinese (zh)
Inventor
李臣学
王晓楠
郭峰
杨霁天
蒋公宝
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to CN201910841992.3A priority Critical patent/CN112454348A/en
Publication of CN112454348A publication Critical patent/CN112454348A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1628Programme controls characterised by the control loop
    • B25J9/163Programme controls characterised by the control loop learning, adaptive, model based, rule based expert control
    • 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
    • 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1694Programme controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion
    • B25J9/1697Vision controlled systems

Landscapes

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

Abstract

The invention relates to the technical field of robots, in particular to an intelligent robot which comprises a single chip microcomputer and is characterized in that the single chip microcomputer is respectively connected with an infrared pair transistor, an ultrasonic sensor, a Hall sensor, a metal proximity switch, a motor drive and an AD (analog-digital) which is connected with a photoresistor, a camera and a wireless transceiver module; the behavior execution step comprises: sensor perception → modeling → planning → task execution → operational control → performer. According to the invention, through an autonomous path planning solution, the robot can learn autonomously in a large space, and perform path map planning, autonomous navigation and obstacle avoidance; the robot can overcome the uncertainty of the environment, reliably complete complex tasks, and has high efficiency and good robustness; the camera is used for image acquisition, and the single chip microcomputer is used for image segmentation, target identification and target tracking, so that the robot has an active vision function and plays roles in environment detection and identification.

Description

Intelligent robot
Technical Field
The invention relates to the technical field of robots, in particular to an intelligent robot.
Background
A robot is a machine device that automatically performs work. It can accept human command, run the program programmed in advance, and also can operate according to the principle outline action made by artificial intelligence technology. The task of which is to assist or replace human work, such as production, construction, or dangerous work.
In the prior art, the robot cannot perform autonomous learning, path map planning, autonomous navigation and obstacle avoidance, particularly in strange environments and is unstable.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an intelligent robot.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent robot comprises a single chip microcomputer, wherein the single chip microcomputer is respectively connected with an infrared pair transistor, an ultrasonic sensor, a Hall sensor, a metal proximity switch, a motor driver and an AD (analog-digital) which is connected with a photoresistor, a camera and a wireless transceiver module;
the behavior execution step comprises: sensor perception → modeling → planning → task execution → operational control → performer.
Preferably, the navigation implementation method comprises the following steps:
the method comprises the following steps: the sensor senses the local first configuration;
step two: matching with the original stored map;
step three: the robot can determine the position of the robot and plan a global route in advance;
step four: and navigation is realized by adopting a path tracking and obstacle avoidance technology.
Preferably, the modeling includes identifying an object and building a map, and the task execution includes changing environment planning and automatically avoiding obstacles.
Preferably, the sensor perception is the data response of infrared geminate transistor, ultrasonic sensor, hall sensor, metal proximity switch, photo resistance and camera, infrared geminate transistor is the tracking device, ultrasonic sensor is for keeping away the barrier device, hall sensor calculates the wheel number of turns, metal proximity switch is metal detection device, photo resistance is connected with the triode and constitutes and seeks the light circuit.
Preferably, the camera is used for image acquisition, and the singlechip is used for image segmentation, target recognition and target tracking.
Preferably, the driving implementation method comprises the following steps: setting a servo state → setting a motor-driven zero-speed box position → setting a speed → receiving a motor-driven action flag position → driving motor actions, wherein the driving motor actions comprise forward movement, backward movement, forward left turning, forward right turning, backward left turning, backward right turning and stopping actions.
Compared with the prior art, the invention provides an intelligent robot, which has the following beneficial effects:
according to the invention, through an autonomous path planning solution, the robot can learn autonomously in a large space, and perform path map planning, autonomous navigation and obstacle avoidance.
The invention ensures that the robot can overcome the uncertainty of the environment, reliably completes complex tasks, and has high efficiency and good robustness.
According to the robot, the camera is used for image acquisition, and the singlechip is used for image segmentation, target identification and target tracking, so that the robot has an active visual function and plays roles in environment detection and identification.
Drawings
Fig. 1 is a schematic diagram of a system of an intelligent robot according to the present invention;
fig. 2 is a schematic diagram of a behavior executing step of an intelligent robot according to the present invention;
FIG. 3 is a schematic diagram of steps of a navigation implementation method of an intelligent robot according to the present invention;
fig. 4 is a schematic diagram of steps of a driving implementation method of an intelligent robot according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1-4, an intelligent robot comprises a single chip microcomputer, wherein the single chip microcomputer is respectively connected with an infrared pair transistor, an ultrasonic sensor, a hall sensor, a metal proximity switch, a motor driver and an AD, and the AD is connected with a photoresistor, a camera and a wireless transceiver module;
the behavior execution step comprises: sensor perception → modeling → planning → task execution → operational control → performer.
The navigation implementation method comprises the following steps: the method comprises the following steps: the sensor senses the local first configuration; step two: matching with the original stored map; step three: the robot can determine the position of the robot and plan a global route in advance; step four: the robot can determine the position of the robot and realize navigation by adopting a path tracking and obstacle avoidance technology according to a pre-planned global route.
The modeling comprises the steps of identifying a target and establishing a map, the task execution comprises the steps of changing environment planning and automatically avoiding obstacles, and in the moving process of the robot, if the obstacle avoidance area is detected by the infrared geminate transistors to have obstacles, the robot stops moving towards the sub-targets temporarily, implements emergency obstacle avoidance behaviors, and then replans the sub-targets.
The sensor perception is the data response of infrared geminate transistor, ultrasonic sensor, hall sensor, metal proximity switch, photo resistance and camera, infrared geminate transistor is the tracking device, ultrasonic sensor is for keeping away the barrier device, hall sensor calculates the wheel number of turns, metal proximity switch is metal detection device, photo resistance is connected with the triode and constitutes and seeks the light circuit.
The camera carries out image acquisition, the singlechip carries out image segmentation, target identification and target tracking, the image acquisition acquires the actual situation in the environment to a computer memory through the camera for visual processing software analysis, the image acquisition is mainly completed by hardware equipment such as the camera and an image acquisition card, and the image segmentation is to divide each pixel in the color image into subclasses of different objects. After pixel classification processing, the color image is changed into a binary image, each independent target area is separated from the binary image, the image segmentation is performed on the basis of color segmentation, after the image is subjected to color segmentation, a plurality of binary image results can be obtained, the binary images are actually obtained from the same image, multi-target segmentation is completed, target characteristics are determined through characteristic quantities of the independent target areas by target identification, for example, the center position and the movement direction of a target are finally determined through the target centroid, the target perimeter, the target area, the target direction and the like, information is provided for a decision subsystem, and the target identification process is a process of recognizing the image by a computer.
The driving implementation method comprises the following steps: setting a servo state → setting a motor-driven zero-speed box position → setting a speed → receiving a motor-driven action flag position → driving motor actions, wherein the driving motor actions comprise forward movement, backward movement, forward left turning, forward right turning, backward left turning, backward right turning and stopping actions.
In the invention, when in use, the sensor senses and carries out a local first structure; step two: matching with the original stored map; step three: the robot can determine the position of the robot and plan a global route in advance; step four: the robot can determine the position of the robot and realize navigation by adopting a path tracking and obstacle avoidance technology according to a pre-planned global route by adopting the path tracking and obstacle avoidance technology, detecting the surrounding environment through various sensors of the robot, constructing a local map by utilizing the sensed local environment information, and matching the local map with a complete map stored in the robot in advance, wherein if the two models are matched with each other; the camera carries out image acquisition, the singlechip carries out image segmentation, target identification and target tracking, the servo state is set → the motor drive zero-speed box bit is effective → the speed is set → the motor drive action flag bit is received → the motor is driven to act, and the motor is driven to act, wherein the action of the motor comprises advancing, retreating, advancing left turning, advancing right turning, retreating left turning, retreating right turning and stopping.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1. An intelligent robot comprises a single chip microcomputer and is characterized in that the single chip microcomputer is respectively connected with an infrared pair transistor, an ultrasonic sensor, a Hall sensor, a metal proximity switch, a motor drive and an AD, and the AD is connected with a photosensitive resistor, a camera and a wireless transceiver module;
the behavior execution step comprises: sensor perception → modeling → planning → task execution → operational control → performer.
2. The intelligent robot as claimed in claim 1, wherein the navigation implementation method comprises the following steps:
the method comprises the following steps: the sensor senses the local first configuration;
step two: matching with the original stored map;
step three: the robot can determine the position of the robot and plan a global route in advance;
step four: and navigation is realized by adopting a path tracking and obstacle avoidance technology.
3. The intelligent robot as claimed in claim 1, wherein the modeling comprises identifying targets, building a map, and the task execution comprises changing environment planning and automatically avoiding obstacles.
4. The intelligent robot according to claim 1, wherein the sensor senses data of an infrared pair tube, an ultrasonic sensor, a hall sensor, a metal proximity switch, a photo resistor and a camera, the infrared pair tube is a tracking device, the ultrasonic sensor is an obstacle avoidance device, the hall sensor calculates the number of turns of a wheel, the metal proximity switch is a metal detection device, and the photo resistor is connected with a triode to form a light searching circuit.
5. The intelligent robot of claim 1, wherein the camera performs image acquisition, and the single chip microcomputer performs image segmentation, target recognition and target tracking.
6. The intelligent robot as claimed in claim 1, wherein the driving implementation method comprises: setting a servo state → setting a motor-driven zero-speed box position → setting a speed → receiving a motor-driven action flag position → driving motor actions, wherein the driving motor actions comprise forward movement, backward movement, forward left turning, forward right turning, backward left turning, backward right turning and stopping actions.
CN201910841992.3A 2019-09-06 2019-09-06 Intelligent robot Withdrawn CN112454348A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910841992.3A CN112454348A (en) 2019-09-06 2019-09-06 Intelligent robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910841992.3A CN112454348A (en) 2019-09-06 2019-09-06 Intelligent robot

Publications (1)

Publication Number Publication Date
CN112454348A true CN112454348A (en) 2021-03-09

Family

ID=74807141

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910841992.3A Withdrawn CN112454348A (en) 2019-09-06 2019-09-06 Intelligent robot

Country Status (1)

Country Link
CN (1) CN112454348A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112947242A (en) * 2021-03-18 2021-06-11 南通大学 Embedded engineering dolly for education
CN113189977A (en) * 2021-03-10 2021-07-30 新兴际华集团有限公司 Intelligent navigation path planning system and method for robot
CN114967687A (en) * 2022-05-23 2022-08-30 纯米科技(上海)股份有限公司 Obstacle detection method, system, electronic device and computer-readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130024025A1 (en) * 2011-07-21 2013-01-24 Harry Chia-Hung Hsu Autonomous Robot and A Positioning Method Thereof
CN103170962A (en) * 2013-03-08 2013-06-26 北京工业大学 Desktop type double-wheel self-balancing robot
CN106681330A (en) * 2017-01-25 2017-05-17 北京航空航天大学 Robot navigation method and device based on multi-sensor data fusion
CN108058170A (en) * 2016-11-07 2018-05-22 哈尔滨工大天才智能科技有限公司 A kind of vision robot's data acquisition processing system
CN108121333A (en) * 2016-11-26 2018-06-05 沈阳新松机器人自动化股份有限公司 Shopping guide robot

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130024025A1 (en) * 2011-07-21 2013-01-24 Harry Chia-Hung Hsu Autonomous Robot and A Positioning Method Thereof
CN103170962A (en) * 2013-03-08 2013-06-26 北京工业大学 Desktop type double-wheel self-balancing robot
CN108058170A (en) * 2016-11-07 2018-05-22 哈尔滨工大天才智能科技有限公司 A kind of vision robot's data acquisition processing system
CN108121333A (en) * 2016-11-26 2018-06-05 沈阳新松机器人自动化股份有限公司 Shopping guide robot
CN106681330A (en) * 2017-01-25 2017-05-17 北京航空航天大学 Robot navigation method and device based on multi-sensor data fusion

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113189977A (en) * 2021-03-10 2021-07-30 新兴际华集团有限公司 Intelligent navigation path planning system and method for robot
CN112947242A (en) * 2021-03-18 2021-06-11 南通大学 Embedded engineering dolly for education
CN114967687A (en) * 2022-05-23 2022-08-30 纯米科技(上海)股份有限公司 Obstacle detection method, system, electronic device and computer-readable storage medium

Similar Documents

Publication Publication Date Title
US10102429B2 (en) Systems and methods for capturing images and annotating the captured images with information
Bauer et al. The autonomous city explorer: Towards natural human-robot interaction in urban environments
Patel et al. Sensor modality fusion with CNNs for UGV autonomous driving in indoor environments
Lingemann et al. High-speed laser localization for mobile robots
Castellanos et al. Multisensor fusion for simultaneous localization and map building
Konolige et al. Outdoor mapping and navigation using stereo vision
Kim et al. End-to-end deep learning for autonomous navigation of mobile robot
US11584004B2 (en) Autonomous object learning by robots triggered by remote operators
Chatterjee et al. Vision based autonomous robot navigation: algorithms and implementations
CN112454348A (en) Intelligent robot
Nikdel et al. The hands-free push-cart: Autonomous following in front by predicting user trajectory around obstacles
Fauadi et al. Intelligent vision-based navigation system for mobile robot: A technological review
CN114252071A (en) Self-propelled vehicle navigation device and method thereof
Ravela et al. Stealth navigation: Planning and behaviors
Luo et al. Modular ROS based autonomous mobile industrial robot system for automated intelligent manufacturing applications
Goedemé et al. Vision based intelligent wheel chair control: The role of vision and inertial sensing in topological navigation
Herman et al. Minimalist vision for navigation
CN113158779B (en) Walking method, walking device and computer storage medium
Hsu et al. Using a Robot for Indoor Navigation and Door Opening Control Based on Image Processing
Chang et al. Design and implementation of a gardening mobile robot with embedded face-tracking system
Nikdel Robot following ahead of the leader and learning human-relevant navigational cues
Ke et al. Economical UWB/IMU/VO Fusion for Mobile Robot Localization and Mapping in Poultry House
Wu et al. Developing a dynamic obstacle avoidance system for autonomous mobile robots using Bayesian optimization and object tracking: Implementation and testing
Bischoff et al. Object-oriented vision for a behavior-based robot
Oberpertinger et al. A Universal Person Follower Interface for Mobile Robot Systems

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
WW01 Invention patent application withdrawn after publication

Application publication date: 20210309

WW01 Invention patent application withdrawn after publication