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Research And Design Of Intelligent Robot System For Helping The Elders And Disabled Based On Action Learning And Imitation

Posted on:2020-07-24Degree:MasterType:Thesis
Country:ChinaCandidate:D J PengFull Text:PDF
GTID:2428330575986021Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
As the country's aging problem continues to intensify and a large number of people with disabilities who need care exist,the emergence of these problems has made the problem of helping the elderly and helping the disabled become the most concerned and most difficult issue for society.A large number of nursing groups not only bring huge economic burdens to families and individuals,but also bring heavy economic and financial pressure to society and the country.At present,in order to alleviate social pressure and better serve the old disabled groups,intelligent service robots have become a research hotspot.This article takes this opportunity to research and design a robot system for helping the elderly.The robot uses the Arduino mega2560 microcontroller as the control core,and uses the intelligent WiFi module as the communication medium.The Android platform and the wireless communication network are combined with the video image to realize the remote control of the robot.The robot arm utilizes motion learning and simulation functions,combined with voice control technology.The object grabbing of the robot arm is realized;the various control modes of the robot cooperate with each other to realize the robot assisting the disabled in a specific occasion.This paper mainly studies the motion learning and imitation of the mechanical arm.The main contents of the research are as follows:Firstly,according to the operating space range of the robot arm,the appropriate degree of freedom and joint structure are selected.In view of the inconvenient movement of the disabled person,the mechanical arm movement learning and imitation method is designed to help the elderly.Then the in-depth and meticulous research on the robot arm movement learning and imitation method is carried out,and the process control theory and implementation method are analyzed.The robot arm uses the action learning method to imitate the specific action given by the man.Secondly,the kinematics analysis of the manipulator is carried out,and the kinematic D-H model of the manipulator is built.The positive solution of the manipulator is obtained according to the D-H model.Subsequently,the kinematics of the manipulator is simulated using the Robotics Toolbox tool that comes with Matlab.And verified the correctness of the kinematics of the manipulator.Thirdly,the overall software of the robot system was designed.Using the Eclipse development software,the Android mobile phone App software control interface program of the robot system was completed.Then,the Arduino IDE host computer software was used to write the core control board program of the Arduino mega2560 microcontroller.Control programs such as servos and motors,voices,etc.Finally,the assembly and testing of the robot system is completed.The test results and experimental data show that the robot system is flexible and stable,and the correct rate of grasping objects is high.It has certain practical significance and practical value in the field of service robots.
Keywords/Search Tags:robot arm, Action Learning, Robot, Android
PDF Full Text Request
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