This document describes a gesture controlled robot project. The objective is to create a simple and inexpensive robot that can be controlled through gestures. The robot uses an accelerometer sensor to detect hand movements, which are then wirelessly transmitted via radio waves to the robot. The robot receives the signals and moves in the corresponding directions. The system includes a transmitter section with an accelerometer, comparator, and encoder, and a receiver section with a receiver, decoder, and microcontroller that controls motors to move the robot.
The document summarizes a project report on a hand gesture controlled robot. It includes an introduction describing the system, block diagrams of the transmitter and receiver modules, descriptions of the main components used including an accelerometer, microcontroller, RF transmitter and receiver. It also describes the methodology for hand motion recognition using gestures, the wireless communication signal methodology, and motion control methodology using an L293D motor driver IC. The result section shows the transmitting and receiving circuits and describes advantages of RF transmission over IR. Future applications of gesture controlled robots include uses in medical, military, construction and industrial fields.
Gesture control robot using by ArdiunoSudhir Kumar
The document describes a gesture controlled robot project. The objective is to create a simple and inexpensive device that can be mass produced to help disabled people maneuver wheelchairs without touching the wheels. The robot uses an accelerometer to detect hand gestures which are sent to a microcontroller via an RF transmitter/receiver. The microcontroller controls motors via a motor driver to move the robot in corresponding directions based on the gestures.
This document describes a hand gesture controlled wireless land rover. The project uses an accelerometer to detect hand gestures which are transmitted via RF to control motors and move the land rover in four directions. The key components are a microcontroller, accelerometer, encoder, transmitter, receiver, motor driver and motors. Programming is done using AVR studio to flash the microcontroller. Advantages include compact size and wireless control using natural hand gestures. Future enhancements could include onboard controls, image processing for improved sensitivity and gyro sensors.
The document discusses the development of a gesture-controlled robot. It describes how the robot works using an accelerometer to detect hand gestures, an encoder and transmitter to wirelessly send the gesture data, a receiver and decoder to interpret the data, and a microcontroller and motor driver to control motors based on the gestures. The robot is intended to help disabled people control devices with gestures instead of physical inputs. The system aims to provide a simple and affordable design for potential wide applications.
This document describes the design and working of an intelligent line following robot. It uses infrared sensors to detect a black line on a white surface and a microcontroller to control motors that navigate the robot along the line. The microcontroller receives sensor input and determines whether the robot should move straight, turn right, or turn left to stay on the line. The line following robot demonstrates principles of sensing, feedback control, and programming intelligence into machines.
Gesture control robot using accelerometer pptRajendra Prasad
This document describes a gesture control robot project that uses an accelerometer. The aim of the project is to control the movements and directions of vehicles like airplanes, trains and cars using MEMS technology. The transmitter module uses an accelerometer, comparator, encoder and RF transmitter. The receiver module uses an RF receiver, decoder, microcontroller and actuator motor driver. The accelerometer provides analog data about movement in the X, Y and Z directions. The comparator and encoder convert the analog data for transmission. The RF modules transmit and receive the signals. The microcontroller processes the received data and the actuator converts it to control vehicle movements based on hand gestures detected by the accelerometer.
Project Report on Hand gesture controlled robot part 2Pragya
A gesture is a form of non-verbal communication in which visible bodily actions
communicate particular messages, either in place of speech or together and in parallel
with words. Gestures include movement of the hands, face, or other parts of the body.
Gestures differ from physical non-verbal communication that does not communicate
specific messages, such as purely expressive displays, proxemics, or displays of joint
attention. Gestures allow individuals to communicate a variety of feelings and
thoughts, from contempt and hostility to approval and affection, often together with
body language in addition towards when they speak.
Gesture Controlled Robot is a robot which can be controlled by simple gestures. The
user just needs to wear a gesture device which includes a sensor. The sensor will
record the movement of hand in a specific direction which will result in the
movement of the robot in the respective direction. The robot and the Gesture device
are connected wirelessly via radio waves. The wireless communication enables the
user to interact with the robot in a more friendly way.
For more assistance, mail me at pragyakulshresth@gmail.com
This document describes a gesture controlled robot project. The objective is to create a simple and inexpensive robot that can be controlled through gestures. The robot uses an accelerometer sensor to detect hand movements, which are then wirelessly transmitted via radio waves to the robot. The robot receives the signals and moves in the corresponding directions. The system includes a transmitter section with an accelerometer, comparator, and encoder, and a receiver section with a receiver, decoder, and microcontroller that controls motors to move the robot.
The document summarizes a project report on a hand gesture controlled robot. It includes an introduction describing the system, block diagrams of the transmitter and receiver modules, descriptions of the main components used including an accelerometer, microcontroller, RF transmitter and receiver. It also describes the methodology for hand motion recognition using gestures, the wireless communication signal methodology, and motion control methodology using an L293D motor driver IC. The result section shows the transmitting and receiving circuits and describes advantages of RF transmission over IR. Future applications of gesture controlled robots include uses in medical, military, construction and industrial fields.
Gesture control robot using by ArdiunoSudhir Kumar
The document describes a gesture controlled robot project. The objective is to create a simple and inexpensive device that can be mass produced to help disabled people maneuver wheelchairs without touching the wheels. The robot uses an accelerometer to detect hand gestures which are sent to a microcontroller via an RF transmitter/receiver. The microcontroller controls motors via a motor driver to move the robot in corresponding directions based on the gestures.
This document describes a hand gesture controlled wireless land rover. The project uses an accelerometer to detect hand gestures which are transmitted via RF to control motors and move the land rover in four directions. The key components are a microcontroller, accelerometer, encoder, transmitter, receiver, motor driver and motors. Programming is done using AVR studio to flash the microcontroller. Advantages include compact size and wireless control using natural hand gestures. Future enhancements could include onboard controls, image processing for improved sensitivity and gyro sensors.
The document discusses the development of a gesture-controlled robot. It describes how the robot works using an accelerometer to detect hand gestures, an encoder and transmitter to wirelessly send the gesture data, a receiver and decoder to interpret the data, and a microcontroller and motor driver to control motors based on the gestures. The robot is intended to help disabled people control devices with gestures instead of physical inputs. The system aims to provide a simple and affordable design for potential wide applications.
This document describes the design and working of an intelligent line following robot. It uses infrared sensors to detect a black line on a white surface and a microcontroller to control motors that navigate the robot along the line. The microcontroller receives sensor input and determines whether the robot should move straight, turn right, or turn left to stay on the line. The line following robot demonstrates principles of sensing, feedback control, and programming intelligence into machines.
Gesture control robot using accelerometer pptRajendra Prasad
This document describes a gesture control robot project that uses an accelerometer. The aim of the project is to control the movements and directions of vehicles like airplanes, trains and cars using MEMS technology. The transmitter module uses an accelerometer, comparator, encoder and RF transmitter. The receiver module uses an RF receiver, decoder, microcontroller and actuator motor driver. The accelerometer provides analog data about movement in the X, Y and Z directions. The comparator and encoder convert the analog data for transmission. The RF modules transmit and receive the signals. The microcontroller processes the received data and the actuator converts it to control vehicle movements based on hand gestures detected by the accelerometer.
Project Report on Hand gesture controlled robot part 2Pragya
A gesture is a form of non-verbal communication in which visible bodily actions
communicate particular messages, either in place of speech or together and in parallel
with words. Gestures include movement of the hands, face, or other parts of the body.
Gestures differ from physical non-verbal communication that does not communicate
specific messages, such as purely expressive displays, proxemics, or displays of joint
attention. Gestures allow individuals to communicate a variety of feelings and
thoughts, from contempt and hostility to approval and affection, often together with
body language in addition towards when they speak.
Gesture Controlled Robot is a robot which can be controlled by simple gestures. The
user just needs to wear a gesture device which includes a sensor. The sensor will
record the movement of hand in a specific direction which will result in the
movement of the robot in the respective direction. The robot and the Gesture device
are connected wirelessly via radio waves. The wireless communication enables the
user to interact with the robot in a more friendly way.
For more assistance, mail me at pragyakulshresth@gmail.com
This document describes a student robotics project. The project involves building a robot that can sense obstacles using IR sensors, avoid obstacles autonomously, and resume its path. The robot is controlled by an AVR ATmega16 microcontroller. It uses an IR sensor to detect obstacles and an L293D motor driver and DC motors for movement. When an obstacle is detected, the microcontroller diverts the robot left or right to avoid the obstacle before resuming its forward motion. The project aims to create a mobile robot that can navigate independently within certain limitations.
ACCELEROMETER BASED HAND GESTURE CONTROLLED ROBOT USING ARDUINOSnehasis Mondal
WORKING ARDUINO CODE:
/* * Gesture Recognition Robot * Coder – Raj,Rajib,Saity,Snehasis * This program lets you to control your robot with gesture made by your hand */ int GNDPin=A4; //Set Analog pin 4 as GND int VccPin=A5; //Set Analog pin 5 as VCC int xPin=A3; //X axis input int yPin=A2; //Y axis input int zPin=A1; //Z axis input(not used) int Q1=10,Q2=11,Q3=12,Q4=13; //Output pins to be connected to 10, 11, 12, 13 of Decoder IC long x; //Variabe for storing X coordinates long y; //Variabe for storing Y coordinates long z; //Variabe for storing Z coordinates void setup() { Serial.begin(9600); pinMode(Q1,OUTPUT); pinMode(Q2,OUTPUT); pinMode(Q3,OUTPUT); pinMode(Q4,OUTPUT); pinMode(GNDPin, OUTPUT); pinMode(VccPin, OUTPUT); digitalWrite(GNDPin, LOW); //Set A4 pin LOW digitalWrite(VccPin, HIGH); //Set A5 pin HIGH } void loop() { x = analogRead(xPin); //Reads X coordinates y = analogRead(yPin); //Reads Y coordinates z = analogRead(zPin); //Reads Z coordinates (Not Used) if(x<340) // Change the value for adjusting sensitivity forward(); else if(x>400) // Change the value for adjusting sensitivity backward(); else if(y>400) // Change the value for adjusting sensitivity right(); else if(y<340) // Change the value for adjusting sensitivity left(); else stop_(); } void stop_() { Serial.println(""); Serial.println("STOP"); digitalWrite(Q1,LOW); digitalWrite(Q2,LOW); digitalWrite(Q3,LOW); digitalWrite(Q4,LOW); } void forward() { Serial.println(""); Serial.println("Forward");
digitalWrite(Q1,HIGH); digitalWrite(Q2,LOW); digitalWrite(Q3,HIGH); digitalWrite(Q4,LOW); } void backward() { Serial.println(""); Serial.println("Backward"); digitalWrite(Q1,LOW); digitalWrite(Q2,HIGH); digitalWrite(Q3,LOW); digitalWrite(Q4,HIGH); } void left() { Serial.println(""); Serial.println("Left"); digitalWrite(Q1,LOW); digitalWrite(Q2,HIGH); digitalWrite(Q3,HIGH); digitalWrite(Q4,LOW); } void right() { Serial.println(""); Serial.println("Right"); digitalWrite(Q1,HIGH); digitalWrite(Q2,LOW); digitalWrite(Q3,LOW); digitalWrite(Q4,HIGH); }
The document describes a hand gesture controlled robot that uses a hand glove with an MPU-6050 gyroscope/accelerometer sensor and Arduino board to wirelessly control a receiving robot car chassis. The transmitter sends gesture movement data via nRF24L01 modules to the receiver Arduino, which uses the data and an L298N motor driver to control the car's two DC motors. Potential applications include remote control of devices, industrial equipment, military robotics, medical procedures, and construction.
The document outlines requirements for a line following robot and discusses methods for line detection. It lists key requirements as being able to follow and take turns along a line, while being insensitive to lighting and noise. It also notes the line color does not matter as long as it is darker or lighter than the surroundings. The document further explains that infrared sensors produce analog outputs that need to be converted to digital signals, which can be done using analog to digital converters or comparators. It also provides an overview of features of the 8051 microcontroller, including memory, serial communication ports, timers, I/O pins, interrupts and clock speed.
The document describes a final year project report submitted by Muhammad Ahkam Khan and Muhammad Waqar to the Department of Electrical Engineering at National University of Computer and Emerging Sciences in Peshawar, Pakistan in June 2013 for their Bachelor of Electrical Engineering degree, on developing a wireless gesture controlled robot.
This document describes a gesture controlled car that can be operated through hand gestures detected by an accelerometer worn on the hand. It consists of an accelerometer, microcontroller, motor driver, motors, RF module, encoder and decoder ICs. The accelerometer senses hand tilts and generates control signals to move the car in four directions. This technology allows for more natural interaction than traditional interfaces and has applications in entertainment, remote control, industrial control, military robotics and medical surgery. Gesture control is expected to become more advanced and widespread with further technological progress.
This document describes a gesture controlled robot that is controlled through hand movements detected by an accelerometer in a glove. The accelerometer outputs analog data related to hand movements which is transmitted via RF to the robot. The robot contains an Arduino, motor driver, receiver module and chassis. It will move forward, backward, left or right depending on the hand gesture detected such as tilting the hand front, back, left or right.
This is a presentation of OBSTACLE AVOIDANCE ROBOT. which has the details on making an obstacle avoider using arduino uno, ultrasonic sensor. This presentation has the detailed description of all the components that are being used in making. And also circuit diagram and flow chart of the robot.
Project Report on Hand gesture controlled robot part 1Pragya
A gesture is a form of non-verbal communication in which visible bodily actions
communicate particular messages, either in place of speech or together and in parallel
with words. Gestures include movement of the hands, face, or other parts of the body.
Gestures differ from physical non-verbal communication that does not communicate
specific messages, such as purely expressive displays, proxemics, or displays of joint
attention. Gestures allow individuals to communicate a variety of feelings and
thoughts, from contempt and hostility to approval and affection, often together with
body language in addition towards when they speak.
Gesture Controlled Robot is a robot which can be controlled by simple gestures. The
user just needs to wear a gesture device which includes a sensor. The sensor will
record the movement of hand in a specific direction which will result in the
movement of the robot in the respective direction. The robot and the Gesture device
are connected wirelessly via radio waves. The wireless communication enables the
user to interact with the robot in a more friendly way.
For more assistance, mail me at pragyakulshresth@gmail.com
BLUETOOTH CONTROL ROBOT WITH ANDROID APPLICATIONVarun Divekar
This document proposes designing a Bluetooth controlled robot that can be operated wirelessly via a smartphone. It discusses using an Arduino board connected to DC motors and a Bluetooth module to allow control of the robot's movement. A literature review covers previous work on Bluetooth communication systems for robot control. The objectives are to allow forward, reverse and turning control of the robot from a phone and transmit instructions wirelessly via Bluetooth. The methodology involves programming an Android app for control and analyzing the Bluetooth module connection.
The aim of this project is to controlling a wheel chair and electrical devices by using MEMS accelerometer sensor (Micro Electro-Mechanical Systems) technology. MEMS accelerometer sensor is a Micro Electro Mechanical Sensor which is a highly sensitive sensor and capable of detecting the tilt. This sensor finds the tilt and makes use of the accelerometer to change the direction of the wheel chair depending on tilt. For example if the tilt is to the right side then the wheel chair moves in right direction or if the tilt is to the left side then the wheel chair moves in left direction. Wheel chair movement can be controlled in Forward, Reverse, and Left and Right direction.
This document describes a wireless gesture control car project. The objective is to build a car that can be controlled wirelessly through gestures detected by an MPU6050 gyroscope sensor in a controller glove. An Arduino Duemilanove reads the sensor data and sends it via nRF24L01 transceivers to an Arduino Mega receiver connected to an L298 motor controller and motors. Specific gestures are mapped to control motions like forward, backward, left, and right. The components, sensors, microcontrollers, and transceivers used are explained. Diagrams show the pin connections and software includes the Arduino IDE and Fritzing.
This document presents a first presentation on a wireless gesture controlled robot developed by a group of students at Dr. Ambedkar Institute of Technology for Handicapped. The presentation covers an introduction to gesture controlled robots, different types of gesture recognition including glove-based and vision-based, the working principle using an accelerometer, block diagrams of the transmitter and receiver circuits, applications, and conclusions. The goal of the project was to develop a low-cost, low-power wireless gesture controlled robot using hand gestures to control a mobile robot.
This document describes a line following robot project built using an Arduino microcontroller. It lists the components used, which include the Arduino UNO, IR sensors, an L298N motor driver, DC motors, and a chassis. It explains the working principle of how the IR sensors detect a line and the motor driver is used to control the DC motors to follow the line. Diagrams of the circuit, programming code, potential applications, and advantages/disadvantages of the line following robot are also provided.
MOBILE CONTROLLED ROBOTIC ARM USING ARDUINO AND HC-06Eklavya Sharma
Design and control of RoboDroid to do monotonous job using a smartphone only. The robot is named ‘RoboDroid’ as it utilizes concept of both Robotics and Android.
It is a mechanical arm with movable base that is controlled by an
application through Android Smartphone via Bluetooth using a
most commonly used Bluetooth module HC-06 and programmed
with Arduino Uno. For more info- www.codevista.net
The document describes the components, working, and applications of a line following robot. It consists of the following key components: IR sensors to detect the line, an Arduino UNO microcontroller, an L293D motor driver IC, and two geared motors. The IR sensors detect the visual line on the floor and send signals to the Arduino, which uses the motor driver IC to control the direction of the two motors accordingly. The line following robot is able to follow the line path, make turns when detecting breaks in the line, and has applications in industrial automation.
Android mobile phone controlled bluetooth robotDisha Akash
The document describes the design of a robot that can be controlled using an Android mobile app via Bluetooth. The robot uses a PIC16F877A microcontroller interfaced with a Bluetooth module to receive control commands from the app. The app allows sending commands like forward, backward, left, and right to move the robot in different directions. The purpose is to provide a simple and low-cost robot architecture that is also useful for educational robotics projects.
ArduinoBased Head GestureControlled Robot UsingWireless CommunicationIJERA Editor
This paper describes the robustness of ardiuno based head movement controlled robot. This robot is controlled using motion sensor which is mounted on the head. In future there is need of robots which can be used to ease the human tasks and interact with the human easily. Our objective is to control the robot using head gesture. Accelerometer is used to detect the direction of head movement. In order to full-fill our requirement a program has been written and executed using a microcontroller system. By observing the results of experimentation our gesture formula is very competent and it’s also enhance the natural way of intelligence and also assembled in a simple hardware circuit.
The document describes a final year project report on a gesture controlled car. It includes an introduction describing gesture recognition technology and the components used in the project. The main chapters provide detailed descriptions of the accelerometer, encoder, decoder, microcontroller, motors, and connection diagrams. The implementation chapter explains how the accelerometer outputs analog voltages corresponding to hand movements, which are converted to digital signals and transmitted to control the car.
This document describes a student robotics project. The project involves building a robot that can sense obstacles using IR sensors, avoid obstacles autonomously, and resume its path. The robot is controlled by an AVR ATmega16 microcontroller. It uses an IR sensor to detect obstacles and an L293D motor driver and DC motors for movement. When an obstacle is detected, the microcontroller diverts the robot left or right to avoid the obstacle before resuming its forward motion. The project aims to create a mobile robot that can navigate independently within certain limitations.
ACCELEROMETER BASED HAND GESTURE CONTROLLED ROBOT USING ARDUINOSnehasis Mondal
WORKING ARDUINO CODE:
/* * Gesture Recognition Robot * Coder – Raj,Rajib,Saity,Snehasis * This program lets you to control your robot with gesture made by your hand */ int GNDPin=A4; //Set Analog pin 4 as GND int VccPin=A5; //Set Analog pin 5 as VCC int xPin=A3; //X axis input int yPin=A2; //Y axis input int zPin=A1; //Z axis input(not used) int Q1=10,Q2=11,Q3=12,Q4=13; //Output pins to be connected to 10, 11, 12, 13 of Decoder IC long x; //Variabe for storing X coordinates long y; //Variabe for storing Y coordinates long z; //Variabe for storing Z coordinates void setup() { Serial.begin(9600); pinMode(Q1,OUTPUT); pinMode(Q2,OUTPUT); pinMode(Q3,OUTPUT); pinMode(Q4,OUTPUT); pinMode(GNDPin, OUTPUT); pinMode(VccPin, OUTPUT); digitalWrite(GNDPin, LOW); //Set A4 pin LOW digitalWrite(VccPin, HIGH); //Set A5 pin HIGH } void loop() { x = analogRead(xPin); //Reads X coordinates y = analogRead(yPin); //Reads Y coordinates z = analogRead(zPin); //Reads Z coordinates (Not Used) if(x<340) // Change the value for adjusting sensitivity forward(); else if(x>400) // Change the value for adjusting sensitivity backward(); else if(y>400) // Change the value for adjusting sensitivity right(); else if(y<340) // Change the value for adjusting sensitivity left(); else stop_(); } void stop_() { Serial.println(""); Serial.println("STOP"); digitalWrite(Q1,LOW); digitalWrite(Q2,LOW); digitalWrite(Q3,LOW); digitalWrite(Q4,LOW); } void forward() { Serial.println(""); Serial.println("Forward");
digitalWrite(Q1,HIGH); digitalWrite(Q2,LOW); digitalWrite(Q3,HIGH); digitalWrite(Q4,LOW); } void backward() { Serial.println(""); Serial.println("Backward"); digitalWrite(Q1,LOW); digitalWrite(Q2,HIGH); digitalWrite(Q3,LOW); digitalWrite(Q4,HIGH); } void left() { Serial.println(""); Serial.println("Left"); digitalWrite(Q1,LOW); digitalWrite(Q2,HIGH); digitalWrite(Q3,HIGH); digitalWrite(Q4,LOW); } void right() { Serial.println(""); Serial.println("Right"); digitalWrite(Q1,HIGH); digitalWrite(Q2,LOW); digitalWrite(Q3,LOW); digitalWrite(Q4,HIGH); }
The document describes a hand gesture controlled robot that uses a hand glove with an MPU-6050 gyroscope/accelerometer sensor and Arduino board to wirelessly control a receiving robot car chassis. The transmitter sends gesture movement data via nRF24L01 modules to the receiver Arduino, which uses the data and an L298N motor driver to control the car's two DC motors. Potential applications include remote control of devices, industrial equipment, military robotics, medical procedures, and construction.
The document outlines requirements for a line following robot and discusses methods for line detection. It lists key requirements as being able to follow and take turns along a line, while being insensitive to lighting and noise. It also notes the line color does not matter as long as it is darker or lighter than the surroundings. The document further explains that infrared sensors produce analog outputs that need to be converted to digital signals, which can be done using analog to digital converters or comparators. It also provides an overview of features of the 8051 microcontroller, including memory, serial communication ports, timers, I/O pins, interrupts and clock speed.
The document describes a final year project report submitted by Muhammad Ahkam Khan and Muhammad Waqar to the Department of Electrical Engineering at National University of Computer and Emerging Sciences in Peshawar, Pakistan in June 2013 for their Bachelor of Electrical Engineering degree, on developing a wireless gesture controlled robot.
This document describes a gesture controlled car that can be operated through hand gestures detected by an accelerometer worn on the hand. It consists of an accelerometer, microcontroller, motor driver, motors, RF module, encoder and decoder ICs. The accelerometer senses hand tilts and generates control signals to move the car in four directions. This technology allows for more natural interaction than traditional interfaces and has applications in entertainment, remote control, industrial control, military robotics and medical surgery. Gesture control is expected to become more advanced and widespread with further technological progress.
This document describes a gesture controlled robot that is controlled through hand movements detected by an accelerometer in a glove. The accelerometer outputs analog data related to hand movements which is transmitted via RF to the robot. The robot contains an Arduino, motor driver, receiver module and chassis. It will move forward, backward, left or right depending on the hand gesture detected such as tilting the hand front, back, left or right.
This is a presentation of OBSTACLE AVOIDANCE ROBOT. which has the details on making an obstacle avoider using arduino uno, ultrasonic sensor. This presentation has the detailed description of all the components that are being used in making. And also circuit diagram and flow chart of the robot.
Project Report on Hand gesture controlled robot part 1Pragya
A gesture is a form of non-verbal communication in which visible bodily actions
communicate particular messages, either in place of speech or together and in parallel
with words. Gestures include movement of the hands, face, or other parts of the body.
Gestures differ from physical non-verbal communication that does not communicate
specific messages, such as purely expressive displays, proxemics, or displays of joint
attention. Gestures allow individuals to communicate a variety of feelings and
thoughts, from contempt and hostility to approval and affection, often together with
body language in addition towards when they speak.
Gesture Controlled Robot is a robot which can be controlled by simple gestures. The
user just needs to wear a gesture device which includes a sensor. The sensor will
record the movement of hand in a specific direction which will result in the
movement of the robot in the respective direction. The robot and the Gesture device
are connected wirelessly via radio waves. The wireless communication enables the
user to interact with the robot in a more friendly way.
For more assistance, mail me at pragyakulshresth@gmail.com
BLUETOOTH CONTROL ROBOT WITH ANDROID APPLICATIONVarun Divekar
This document proposes designing a Bluetooth controlled robot that can be operated wirelessly via a smartphone. It discusses using an Arduino board connected to DC motors and a Bluetooth module to allow control of the robot's movement. A literature review covers previous work on Bluetooth communication systems for robot control. The objectives are to allow forward, reverse and turning control of the robot from a phone and transmit instructions wirelessly via Bluetooth. The methodology involves programming an Android app for control and analyzing the Bluetooth module connection.
The aim of this project is to controlling a wheel chair and electrical devices by using MEMS accelerometer sensor (Micro Electro-Mechanical Systems) technology. MEMS accelerometer sensor is a Micro Electro Mechanical Sensor which is a highly sensitive sensor and capable of detecting the tilt. This sensor finds the tilt and makes use of the accelerometer to change the direction of the wheel chair depending on tilt. For example if the tilt is to the right side then the wheel chair moves in right direction or if the tilt is to the left side then the wheel chair moves in left direction. Wheel chair movement can be controlled in Forward, Reverse, and Left and Right direction.
This document describes a wireless gesture control car project. The objective is to build a car that can be controlled wirelessly through gestures detected by an MPU6050 gyroscope sensor in a controller glove. An Arduino Duemilanove reads the sensor data and sends it via nRF24L01 transceivers to an Arduino Mega receiver connected to an L298 motor controller and motors. Specific gestures are mapped to control motions like forward, backward, left, and right. The components, sensors, microcontrollers, and transceivers used are explained. Diagrams show the pin connections and software includes the Arduino IDE and Fritzing.
This document presents a first presentation on a wireless gesture controlled robot developed by a group of students at Dr. Ambedkar Institute of Technology for Handicapped. The presentation covers an introduction to gesture controlled robots, different types of gesture recognition including glove-based and vision-based, the working principle using an accelerometer, block diagrams of the transmitter and receiver circuits, applications, and conclusions. The goal of the project was to develop a low-cost, low-power wireless gesture controlled robot using hand gestures to control a mobile robot.
This document describes a line following robot project built using an Arduino microcontroller. It lists the components used, which include the Arduino UNO, IR sensors, an L298N motor driver, DC motors, and a chassis. It explains the working principle of how the IR sensors detect a line and the motor driver is used to control the DC motors to follow the line. Diagrams of the circuit, programming code, potential applications, and advantages/disadvantages of the line following robot are also provided.
MOBILE CONTROLLED ROBOTIC ARM USING ARDUINO AND HC-06Eklavya Sharma
Design and control of RoboDroid to do monotonous job using a smartphone only. The robot is named ‘RoboDroid’ as it utilizes concept of both Robotics and Android.
It is a mechanical arm with movable base that is controlled by an
application through Android Smartphone via Bluetooth using a
most commonly used Bluetooth module HC-06 and programmed
with Arduino Uno. For more info- www.codevista.net
The document describes the components, working, and applications of a line following robot. It consists of the following key components: IR sensors to detect the line, an Arduino UNO microcontroller, an L293D motor driver IC, and two geared motors. The IR sensors detect the visual line on the floor and send signals to the Arduino, which uses the motor driver IC to control the direction of the two motors accordingly. The line following robot is able to follow the line path, make turns when detecting breaks in the line, and has applications in industrial automation.
Android mobile phone controlled bluetooth robotDisha Akash
The document describes the design of a robot that can be controlled using an Android mobile app via Bluetooth. The robot uses a PIC16F877A microcontroller interfaced with a Bluetooth module to receive control commands from the app. The app allows sending commands like forward, backward, left, and right to move the robot in different directions. The purpose is to provide a simple and low-cost robot architecture that is also useful for educational robotics projects.
ArduinoBased Head GestureControlled Robot UsingWireless CommunicationIJERA Editor
This paper describes the robustness of ardiuno based head movement controlled robot. This robot is controlled using motion sensor which is mounted on the head. In future there is need of robots which can be used to ease the human tasks and interact with the human easily. Our objective is to control the robot using head gesture. Accelerometer is used to detect the direction of head movement. In order to full-fill our requirement a program has been written and executed using a microcontroller system. By observing the results of experimentation our gesture formula is very competent and it’s also enhance the natural way of intelligence and also assembled in a simple hardware circuit.
The document describes a final year project report on a gesture controlled car. It includes an introduction describing gesture recognition technology and the components used in the project. The main chapters provide detailed descriptions of the accelerometer, encoder, decoder, microcontroller, motors, and connection diagrams. The implementation chapter explains how the accelerometer outputs analog voltages corresponding to hand movements, which are converted to digital signals and transmitted to control the car.
This document describes a project to control a car's orientation through hand gestures detected by an MPU6050 gyroscope module. An Arduino Nano reads the hand movements from the MPU6050 and sends wireless control signals to a receiver using an RF module. The receiver decodes the signals using an HT12D decoder and drives two DC motors with an L293D motor driver to control the car's orientation based on the hand gestures. Block diagrams and brief descriptions of the main components - Arduino Nano, MPU6050 gyroscope, RF transmission modules, motor driver, and decoders - are provided.
This document describes a hand gesture controlled robot project. The project uses an accelerometer to detect hand gestures which are sent to an Arduino microcontroller. The Arduino then sends the gesture data to an HT12E encoder for wireless transmission via an RF module to a receiving robot. The receiving robot decodes the data using an HT12D decoder and sends it to an L293D motor driver to control the robot's motors accordingly, allowing the robot to be remotely controlled by hand gestures. The hardware components and gesture detection methods are explained to detect gestures like tilting forward, backward, left and right to control the robot's movement directions.
Tachometer using AT89S52 microcontroller with motor controlSushil Mishra
This project involves measuring the RPM of a motor using an IR sensor. A microcontroller is used to control the motor's direction and speed through an H-bridge circuit and measure RPM. The RPM is displayed on an LCD screen. Key aspects include using a transformer, rectifier, and voltage regulator to power the microcontroller. Software is used to generate PWM signals to control motor speed. The IR sensor and comparator detect motor rotations to calculate RPM.
The document describes the design and components of a remote-controlled spy robot. It has two main sections: 1) the remote control section, which uses an HT12E encoder and HT12D decoder to control the robot via radio signals from a wireless remote controller. 2) The video transmission section uses a wireless CCD camera powered by a 12V battery to capture video that is transmitted to a remote receiver via radio signals. The robot can be controlled remotely to move forward, backward, left, or right using two 12V gear motors and an L293D motor driver circuit.
One of the greatest challenges engineers face is the safe operation of the existing civil infrastructure. Tunnels progressively deteriorate due to ageing ,environmental factors ,increased loading ,damages caused by the human/natural factors ,inadequate poor maintenance
The document introduces a robotic arm project built by students to be controlled through hand gesture recognition. The aim was to build an arm that can grip objects. Key features include using an accelerometer and flex sensors to capture hand gestures which are processed by a microcontroller to drive servo and DC motors that move the arm and gripper. Applications are discussed like industrial uses and medical procedures. Future improvements discussed are more degrees of freedom, intelligence, and mobility. In conclusion, robotic arms are complex but help with difficult, unsafe, or boring tasks.
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This robotic hand is controlled by hand gestures using a potentiometer to sense hand movements. The potentiometer records the direction of hand movement and sends this information to an Arduino microcontroller via a wired connection. The microcontroller then sends signals to servo motors controlling the robotic hand, making it move in the corresponding direction. The system aims to allow users to interact with the robotic hand in a friendly way by mimicking human hand movements. Some limitations are the lifting capacity and durability of the servo motors and potentiometer. Future work could make the hand wireless and allow automated movements beyond direct control.
This robotic hand can be controlled by human hand gestures through a wired connection. Flex sensors on a glove record hand movements and send the data to an Arduino microcontroller via an encoder. The microcontroller controls servo motors in the robotic hand to mimic the movements of the human hand, allowing interactive control. While the system works responsively, the flex sensors and servo motors have limited lifetimes that require careful maintenance for continued operation.
Robotic Arm using flex sensor and servo motorjovin Richard
The document describes the design and functioning of a robotic arm that can be controlled through hand gestures. The robotic arm has several degrees of freedom and uses sensors like accelerometers and flex sensors to capture hand movements. The analog sensor signals are processed by a microcontroller to generate PWM signals that control servo motors for joint movement. A DC motor is used for the gripper part to pick and place objects. The robotic arm has applications in industrial automation and medical procedures.
Haptic gloves controlled robotic arm using MEMS accelerometerijiert bestjournal
Robots of the current generation have been used in fields isolated from the human society. The definitions of robotics are numerous and varied,ultimately they all deal with a labour - saving machine that with increasing technological capabilities gets clos er and closer to human mechanical and mental capabilities. In order to represent the robotic technology in the field of human - machine interaction and wireless communication for allows interactivity in real - time with virtual objects it is very necessary to develop some or the other technology that makes the maximum use of robot to help people do their work in an efficient way in their day to day life . The main objective of the project is to design and develop the Robot that is used to move using wireless sys tem by recognizing hand motion that is controlled by haptics technology for virtual environment & human - machine systems capable of haptic interaction.
This document describes the components and operation of an accelerometer-based gesture control system for a robot. It includes block diagrams of the transmitter and receiver, along with descriptions of the accelerometer, encoder, transmitter, receiver, microcontroller, and motor driver. The accelerometer senses hand gestures which are encoded and transmitted using a 433MHz transmitter. The receiver circuit decodes the data and the microcontroller controls the motor driver to actuate the robot's motors accordingly.
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This document describes a street lighting system that uses infrared sensors and LEDs to save energy. IR sensors detect passing vehicles and signal microcontroller-controlled LEDs to increase intensity ahead on the road. This allows lights to operate at low intensity when no vehicles are present, saving energy compared to always-on streetlights. The system uses an ATmega8 microcontroller programmed to control LED intensity based on signals from IR sensors placed along the road.
The document describes an obstacle observing robot that uses infrared sensors to detect obstacles and avoid them. It consists of an ATmega8 microcontroller, infrared sensors, a motor driver, and motors. The infrared sensors transmit and receive signals to detect obstacles. When an obstacle is detected, the robot diverts itself to move around the obstacle without human guidance. It is designed to autonomously navigate an area while avoiding obstacles.
This document proposes a hand gesture robot controlled by hand gestures. It consists of a transmitter section and receiver section. The transmitter section includes an Arduino Uno, accelerometer, encoder, and RF transmitter to detect hand gestures and transmit signals. The receiver section includes an RF receiver, decoder, motor driver IC, and two motors. It receives the transmitted signals, decodes them, and controls the motors to move the robot accordingly. Potential applications include remote surveillance, controlling industrial robotic arms wirelessly through gestures. Circuit diagrams are provided for both the transmitter and receiver sections.
The document discusses an embedded system project that uses infrared sensors to detect obstacles and avoid collisions. The system includes IR sensors connected to a microcontroller that processes the sensor inputs. When an obstacle is detected, the microcontroller activates a buzzer or moves DC motors to maneuver around the obstacle. The system has potential applications in automobiles to help reduce accidents by detecting obstacles and notifying the driver. However, infrared sensors require a direct line of sight, so ultrasonic sensors could improve obstacle detection capabilities.
IRJET- Design and Development of Gesture Controlled RobotIRJET Journal
This document describes the design and development of a gesture controlled robot. The robot consists of a transmitter circuit worn on a glove and a receiver circuit mounted on a robot. The transmitter circuit uses an accelerometer to sense hand gestures and transmit corresponding signals via radio frequency to the receiver circuit. The receiver circuit decodes the signals and uses a motor driver to control the robot's movement accordingly. Additional features like a metal detector and camera were added to the robot. The goal is to enhance the robot for applications like landmine detection. The robot is wireless and can be controlled remotely through hand gestures up to a range of 50-80 meters.
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A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
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A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. INTRODUCTION
Gesture Controlled Robot is a robot which can be
controlled by simple gestures.
The user just needs to wear a gesture device which
includes a sensor.
The sensor will record the movement of hand in a
specific direction which will result in the movement
of the robot in the respective direction.
The robot and the Gesture device are connected
wirelessly via radio waves.
The wireless communication enables the user to
interact with the robot in a more friendly way.
3. COMPONENTS
Accelerometer
Arduino Nano
Encoder
Transmitter
Receiver
Decoder
Motor Driver IC
DC Geared Motor
9V Battery
Voltage Regulator IC
5. ACCELEROMETER
An Accelerometer is an electromechanical device
which sence movement
ADXL 335 accelerometer is used here, which can
sence X,Y,Z direction. Here only X & Y are used
6. ARDUINO NANO
Arduino Nano is the microcontroller used
The Arduino Nano is a small, complete, and
breadboard-friendly board based on the
ATmega328P
7. ENCODER IC
An encoder is a device, that converts information
from one format to another.
Here we are using encoder for converting parallel
data into serial data.
The HT12E is an 4bit encoder which encode the
input data applied on it .It is mainly used in
interfacing RF and infrared circuits.
8. RF TRANSMITTER
The word RF stands for “Radio Frequency”
The radio frequency has ability to cross obstacles
plus it provides good coverage of 30 meters
Here a 433Mhz RF transmitter/receiver module is
used
9. RF RECEIVER
The transmitted data is received by an RF receiver
operating at the same frequency as that of the
transmitter.
Both the transmitter and receiver works on 5v DC
10. DECODER IC
A decoder is a device which does the reverse
operation of an encoder.
Original information can be retrieved.
HT12D converts that serial data into parallel.
11. MOTOR DRIVER IC
It is also known as H-Bridge or Actuator IC
L293D is the driver IC used
It’s quadruple high-current half-H drivers
It can be used to control two DC motors in same or
different direction
12. DC GEARED MOTOR
A geared DC Motor has a gear assembly devoted
to the motor
This concept of reducing the speed with the help of
gears and increasing the torque is known as gear
reduction
Here 2 DC geared motor of 100rpm is used, which
is run by L239D IC
17. APPLICATONS
Through the use of gesture recognition, remote
control with the wave of a hand of various devices
is possible.
Gesture controlling is very helpful for handicapped
and physically disabled people to achieve certain
tasks, such as driving a vehicle.
Gestures can be used to control interactions for
entertainment purposes such as gaming to make
the game player's experience more interactive or
immersive.