This robot will be just like an electronic car that keeps on moving in straight line until something comes in its path that’s when it decides to turns into some other direction so it successfully avoids the obstacle.
Autonomous metal search,collect and collision avoidance robotAkhil Unnikrishnan
The document describes the design of an autonomous robot that can detect metals and obstacles. The robot uses an Arduino microcontroller along with ultrasonic sensors for obstacle avoidance and an inductive proximity sensor as a metal detector. It also uses motors, a motor driver, and an electromagnet to move around, detect metals, and pick them up when found. The objective is to build a robotic vehicle that can sense metals and pick them up and place in a designated area.
This document describes the design and development of an obstacle avoiding robot. The robot uses infrared sensors and a microcontroller to detect and avoid obstacles in its path. When an obstacle is detected, the microcontroller stops one motor and moves the other, causing the robot to turn away from the obstacle. The robot was designed using software like DipTrace and programmed using Keil uVision. It was tested to ensure proper functioning and avoids obstacles as intended. Potential applications and future improvements are also discussed.
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.
This project aimed to create an obstacle avoiding rover using an ultrasonic sensor and 4WD platform. The rover was able to scan in front using the sensor, detect obstacles within 12 inches, and maneuver around them. However, the project was incomplete as the rover struggled with traction issues and could not consistently move forward after avoiding obstacles. The sensor also had accuracy problems. While the concept showed promise, numerous bugs could not be resolved within the time frame. Improved equipment and a different approach may have led to better results.
Obstacle Avoidance Robot Summer training Presentation Wasi Abbas
i did an extremely hard work on it. I believe that you all my friends will surely get the benefit of this presentation. As a student of B.tech I just wish to assist those who always ready to assist another one. thanks for reading......
This document describes an obstacle avoiding robot with a vacuum cleaner. The robot uses IR sensors and transmitting circuits to detect obstacles and then decides to avoid them by turning left or right. It also includes a blower to suck up dust and particles, functioning as a vacuum cleaner. The circuit diagram and software used are included. Potential applications are discussed such as use in concealed paths, as a weight lifter, or in mines. The future scope could involve adding a camera for beyond line-of-sight driving or modifying it to function as a firefighting robot.
Obstacle Avoiding robot is a self thinking robot which can take decisions itself using programmed brain without any guidance from human beings. In our Project we use Infrared to sense obstacles and take movements accordingly. Our Project
mainly used in military application, small toys and also used in mines by increasing IR sensors.
Autonomous metal search,collect and collision avoidance robotAkhil Unnikrishnan
The document describes the design of an autonomous robot that can detect metals and obstacles. The robot uses an Arduino microcontroller along with ultrasonic sensors for obstacle avoidance and an inductive proximity sensor as a metal detector. It also uses motors, a motor driver, and an electromagnet to move around, detect metals, and pick them up when found. The objective is to build a robotic vehicle that can sense metals and pick them up and place in a designated area.
This document describes the design and development of an obstacle avoiding robot. The robot uses infrared sensors and a microcontroller to detect and avoid obstacles in its path. When an obstacle is detected, the microcontroller stops one motor and moves the other, causing the robot to turn away from the obstacle. The robot was designed using software like DipTrace and programmed using Keil uVision. It was tested to ensure proper functioning and avoids obstacles as intended. Potential applications and future improvements are also discussed.
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.
This project aimed to create an obstacle avoiding rover using an ultrasonic sensor and 4WD platform. The rover was able to scan in front using the sensor, detect obstacles within 12 inches, and maneuver around them. However, the project was incomplete as the rover struggled with traction issues and could not consistently move forward after avoiding obstacles. The sensor also had accuracy problems. While the concept showed promise, numerous bugs could not be resolved within the time frame. Improved equipment and a different approach may have led to better results.
Obstacle Avoidance Robot Summer training Presentation Wasi Abbas
i did an extremely hard work on it. I believe that you all my friends will surely get the benefit of this presentation. As a student of B.tech I just wish to assist those who always ready to assist another one. thanks for reading......
This document describes an obstacle avoiding robot with a vacuum cleaner. The robot uses IR sensors and transmitting circuits to detect obstacles and then decides to avoid them by turning left or right. It also includes a blower to suck up dust and particles, functioning as a vacuum cleaner. The circuit diagram and software used are included. Potential applications are discussed such as use in concealed paths, as a weight lifter, or in mines. The future scope could involve adding a camera for beyond line-of-sight driving or modifying it to function as a firefighting robot.
Obstacle Avoiding robot is a self thinking robot which can take decisions itself using programmed brain without any guidance from human beings. In our Project we use Infrared to sense obstacles and take movements accordingly. Our Project
mainly used in military application, small toys and also used in mines by increasing IR sensors.
The document describes an obstacle avoiding robot created by four group members using an Arduino UNO, ultrasonic sensor, DC motor driver, and connecting wires. The robot senses obstacles in its path using the ultrasonic sensor, avoids obstacles by reversing or turning, and resumes moving forward once the path is clear. The robot's program uses the ultrasonic sensor readings to determine its speed and maneuvering.
This document describes an obstacle avoidance robot designed and built by Elijah Barner. The robot uses an Arduino Uno microcontroller along with an ultrasonic sensor and motor shield to drive two DC motors. The ultrasonic sensor transmits and receives radio frequency signals to determine the distance to obstacles in front of the robot. The Arduino code translates the sensor signals and controls the motors to maneuver around obstacles by moving forward, backward, or changing directions. Diagrams show the hardware components and signal flow. The appendices provide additional illustrations and definitions of the inputs, outputs, software, and references used.
This document describes an obstacle avoiding car project created by Utkarsh Bingewar, Shubham Thakur, and Rupesh Rote, with guidance from their assistant professor Mrs. Varsha Nanaware. The car uses an ultrasonic sensor and Arduino board to detect obstacles and navigate around them. When an obstacle is detected, the Arduino controls the motors to turn the car left or right to avoid the obstacle. The obstacle avoiding car has applications in areas like surveillance, hazardous environments, and unmanned vehicle navigation.
Design, Implementation and Control of a Humanoid Robot for Obstacle Avoidance...IOSR Journals
In this paper, the design, implementation and control of a humanoid robot, which enables humanlike
walk and a path planning of humanoid robot for obstacle avoidance by using infrared sensors (IRs) is
proposed. As the focus is to obtain human-like walk, the robot is designed to resemble human proportions.
Based on the obtained information from IR sensors, a software flow proposed to decide the behaviour of robot
so that the robot avoids obstacles and goes to the destination. Furthermore the hardware and software
necessary to obtain a fully autonomous system is developed and implemented. Human-like walk was not
obtained on the real system, due to system limitations. If a new interface to the DC-motors in the servos was
developed, and a faster on-board computer was chosen, human-like walk should be possible.
This document is an obstacle avoiding car project report submitted by three students - Utkarsh Bingewar, Shubham Thakur, and Rupesh Rote - to partially fulfill their project requirements for a bachelor's degree in electronics and telecommunications engineering. The report describes the design and implementation of a robotic vehicle that uses an ultrasonic sensor and microcontroller to detect and avoid obstacles in its path by controlling two DC motors through a motor driver. Experimental results show the car is able to successfully detect and navigate around obstacles.
This document describes an obstacle avoiding robot. The robot uses an Arduino Uno microcontroller, ultrasonic sensor, DC motors, motor driver module, and other components. It measures distance to obstacles using the ultrasonic sensor and triggers different motor movements to avoid obstacles. The connections and code are provided to trigger the motors to move forward when no obstacle is detected and turn when an obstacle is close, helping the robot avoid collisions during movement.
Obstacle detection Robot using Ultrasonic Sensor and Arduino UNOSanjay Kumar
This document describes how to build an obstacle detection robot using an Arduino UNO, ultrasonic sensor, and motor driver module. It explains the components used, including the Arduino, ultrasonic sensor to detect obstacles from 2-400cm away, and an L298N motor driver module to control DC motors. It provides details on connecting the components, programming the ultrasonic sensor to trigger and receive echo signals to determine distances, and controlling the motor's direction depending on detected obstacles to help the robot navigate. Code and more details are available at the provided GitHub link.
This robot uses IR sensors to detect edges and avoid falling off platforms. It has two IR sensors, one on each side, that detect light reflecting off the platform. When an edge is detected, the comparator sends a signal to the microcontroller, which makes the robot turn away from the edge by only powering the motor on the opposite side. This allows the robot to continuously move around the platform without falling.
This document describes the components, working, circuit, source code, and scope of an obstacle avoidance robot powered by an Arduino. The main components are a chassis, Arduino UNO microcontroller, DC motor, motor driver, ultrasonic sensor, and servo motor. The robot uses the ultrasonic sensor to calculate distances and detects obstacles. It then controls the DC motor and servo motor using the motor driver and Arduino to avoid obstacles and navigate autonomously. The source code contains functions for movement, distance calculation, and sensor control. Potential applications discussed for further development include using it as a firefighting, mining, driverless vehicle, or cleaning robot.
1. The document describes an obstacle avoiding robot that uses an 8051 microcontroller and infrared sensors to detect obstacles and change direction to avoid collisions.
2. It uses a dual full H bridge motor driver and DC motors to change the robot's direction upon detecting an obstacle with its infrared sensors.
3. The robot is capable of automated navigation and obstacle avoidance, making it useful for applications like automated vehicles.
The document describes an edge-avoiding robot that uses infrared (IR) sensors to detect edges and avoid falling off surfaces. It works by emitting IR rays from sensor modules and detecting the reflected rays. If both sensors receive rays, it continues forward. If one sensor detects an edge and stops receiving rays while the other still does, the robot turns away from the edge. The robot's hardware components include an Arduino, motor driver, DC motors, IR sensors, and other parts. It also explains how the ultrasonic sensor, servo motor, and motor driver circuit work.
The document presents an obstacle avoidance algorithm for mobile robots that uses ultrasonic sensors to detect obstacles and then implements the Bug 1 and Bug 2 algorithms to navigate around obstacles in a reactive manner. It describes the Bug algorithms, compares Bug 1 and Bug 2, and discusses other algorithms like VFH and potential fields. Potential applications of obstacle detection algorithms discussed include mining vehicles, smart cars, and autonomous cleaning robots.
This document describes an edge-detecting robot that uses an ATMega8 microcontroller. The robot has IR sensors on the left and right sides that detect edges and cause the robot to turn in the opposite direction. When an edge is detected, the appropriate motor is turned on via a motor driver IC to turn the robot away from the edge. The IR sensors send signals to comparators and then the microcontroller which controls the motor driver IC and decides which motor to power based on sensor input.
This document describes a project to design an obstacle detection algorithm for robotics using an infrared sensor system. A team of 5 students developed an embedded C program for an intelligent robot that can detect and avoid obstacles using 3 infrared sensors and an AT89S52 microcontroller. The robot is able to navigate collision-free using this multi-sensor integration technique. The hardware components include infrared sensors, a motor driver IC, DC motors, an LCD, and a comparator. The software was developed using Kiel compiler and embedded C language. The robot is able to safely reach its goal in an unknown environment by overcoming obstacles without human guidance.
Edgefxkits.com has a wide range of electronic projects ideas that are primarily helpful for ECE, EEE and EIE students and the ideas can be applied for real life purposes as well.
http://www.edgefxkits.com/
Visit our page to get more ideas on popular electronic projects developed by professionals.
Edgefx provides free verified electronic projects kits around the world with abstracts, circuit diagrams, and free electronic software. We provide guidance manual for Do It Yourself Kits (DIY) with the modules at best price along with free shipping.
This article discusses about how to build a robot vehicle with arduino, AVR, robot body, DC motor, 8051 microcontroller, metal detector and motor driver IC.
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.
The document describes a proposal for a line maze solver robot project. It includes an introduction to line mazes, the objectives of the project to build an autonomous robot that can solve a line maze, and the key components and methodology. The robot will use 6 light sensors to detect the black line on a white surface and make decisions at intersections. It will use an Arduino microcontroller to process sensor input and control the motors. The first run will record wrong turns to avoid on the second run when it can solve the maze quickly.
This document describes an obstacle avoiding robot with a vacuum cleaner. The robot uses IR sensors and a microcontroller to detect obstacles and navigate around them while using a blower to function as a vacuum cleaner. It discusses the components, circuit diagram, software, applications and future enhancements such as adding a camera to increase range or modifying it to function as a firefighting robot. The goal is to create a robot that can autonomously clean an area while avoiding obstacles.
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.
This document describes the design and implementation of an obstacle avoiding robot by three students - MD. Jobaer, MD. Murshiduzzaman, and Sajib Sarker - from the Department of Electrical & Electronic Engineering at Northern University Bangladesh. The robot is designed to avoid obstacles using sensors.
The document describes an obstacle avoiding robot created by four group members using an Arduino UNO, ultrasonic sensor, DC motor driver, and connecting wires. The robot senses obstacles in its path using the ultrasonic sensor, avoids obstacles by reversing or turning, and resumes moving forward once the path is clear. The robot's program uses the ultrasonic sensor readings to determine its speed and maneuvering.
This document describes an obstacle avoidance robot designed and built by Elijah Barner. The robot uses an Arduino Uno microcontroller along with an ultrasonic sensor and motor shield to drive two DC motors. The ultrasonic sensor transmits and receives radio frequency signals to determine the distance to obstacles in front of the robot. The Arduino code translates the sensor signals and controls the motors to maneuver around obstacles by moving forward, backward, or changing directions. Diagrams show the hardware components and signal flow. The appendices provide additional illustrations and definitions of the inputs, outputs, software, and references used.
This document describes an obstacle avoiding car project created by Utkarsh Bingewar, Shubham Thakur, and Rupesh Rote, with guidance from their assistant professor Mrs. Varsha Nanaware. The car uses an ultrasonic sensor and Arduino board to detect obstacles and navigate around them. When an obstacle is detected, the Arduino controls the motors to turn the car left or right to avoid the obstacle. The obstacle avoiding car has applications in areas like surveillance, hazardous environments, and unmanned vehicle navigation.
Design, Implementation and Control of a Humanoid Robot for Obstacle Avoidance...IOSR Journals
In this paper, the design, implementation and control of a humanoid robot, which enables humanlike
walk and a path planning of humanoid robot for obstacle avoidance by using infrared sensors (IRs) is
proposed. As the focus is to obtain human-like walk, the robot is designed to resemble human proportions.
Based on the obtained information from IR sensors, a software flow proposed to decide the behaviour of robot
so that the robot avoids obstacles and goes to the destination. Furthermore the hardware and software
necessary to obtain a fully autonomous system is developed and implemented. Human-like walk was not
obtained on the real system, due to system limitations. If a new interface to the DC-motors in the servos was
developed, and a faster on-board computer was chosen, human-like walk should be possible.
This document is an obstacle avoiding car project report submitted by three students - Utkarsh Bingewar, Shubham Thakur, and Rupesh Rote - to partially fulfill their project requirements for a bachelor's degree in electronics and telecommunications engineering. The report describes the design and implementation of a robotic vehicle that uses an ultrasonic sensor and microcontroller to detect and avoid obstacles in its path by controlling two DC motors through a motor driver. Experimental results show the car is able to successfully detect and navigate around obstacles.
This document describes an obstacle avoiding robot. The robot uses an Arduino Uno microcontroller, ultrasonic sensor, DC motors, motor driver module, and other components. It measures distance to obstacles using the ultrasonic sensor and triggers different motor movements to avoid obstacles. The connections and code are provided to trigger the motors to move forward when no obstacle is detected and turn when an obstacle is close, helping the robot avoid collisions during movement.
Obstacle detection Robot using Ultrasonic Sensor and Arduino UNOSanjay Kumar
This document describes how to build an obstacle detection robot using an Arduino UNO, ultrasonic sensor, and motor driver module. It explains the components used, including the Arduino, ultrasonic sensor to detect obstacles from 2-400cm away, and an L298N motor driver module to control DC motors. It provides details on connecting the components, programming the ultrasonic sensor to trigger and receive echo signals to determine distances, and controlling the motor's direction depending on detected obstacles to help the robot navigate. Code and more details are available at the provided GitHub link.
This robot uses IR sensors to detect edges and avoid falling off platforms. It has two IR sensors, one on each side, that detect light reflecting off the platform. When an edge is detected, the comparator sends a signal to the microcontroller, which makes the robot turn away from the edge by only powering the motor on the opposite side. This allows the robot to continuously move around the platform without falling.
This document describes the components, working, circuit, source code, and scope of an obstacle avoidance robot powered by an Arduino. The main components are a chassis, Arduino UNO microcontroller, DC motor, motor driver, ultrasonic sensor, and servo motor. The robot uses the ultrasonic sensor to calculate distances and detects obstacles. It then controls the DC motor and servo motor using the motor driver and Arduino to avoid obstacles and navigate autonomously. The source code contains functions for movement, distance calculation, and sensor control. Potential applications discussed for further development include using it as a firefighting, mining, driverless vehicle, or cleaning robot.
1. The document describes an obstacle avoiding robot that uses an 8051 microcontroller and infrared sensors to detect obstacles and change direction to avoid collisions.
2. It uses a dual full H bridge motor driver and DC motors to change the robot's direction upon detecting an obstacle with its infrared sensors.
3. The robot is capable of automated navigation and obstacle avoidance, making it useful for applications like automated vehicles.
The document describes an edge-avoiding robot that uses infrared (IR) sensors to detect edges and avoid falling off surfaces. It works by emitting IR rays from sensor modules and detecting the reflected rays. If both sensors receive rays, it continues forward. If one sensor detects an edge and stops receiving rays while the other still does, the robot turns away from the edge. The robot's hardware components include an Arduino, motor driver, DC motors, IR sensors, and other parts. It also explains how the ultrasonic sensor, servo motor, and motor driver circuit work.
The document presents an obstacle avoidance algorithm for mobile robots that uses ultrasonic sensors to detect obstacles and then implements the Bug 1 and Bug 2 algorithms to navigate around obstacles in a reactive manner. It describes the Bug algorithms, compares Bug 1 and Bug 2, and discusses other algorithms like VFH and potential fields. Potential applications of obstacle detection algorithms discussed include mining vehicles, smart cars, and autonomous cleaning robots.
This document describes an edge-detecting robot that uses an ATMega8 microcontroller. The robot has IR sensors on the left and right sides that detect edges and cause the robot to turn in the opposite direction. When an edge is detected, the appropriate motor is turned on via a motor driver IC to turn the robot away from the edge. The IR sensors send signals to comparators and then the microcontroller which controls the motor driver IC and decides which motor to power based on sensor input.
This document describes a project to design an obstacle detection algorithm for robotics using an infrared sensor system. A team of 5 students developed an embedded C program for an intelligent robot that can detect and avoid obstacles using 3 infrared sensors and an AT89S52 microcontroller. The robot is able to navigate collision-free using this multi-sensor integration technique. The hardware components include infrared sensors, a motor driver IC, DC motors, an LCD, and a comparator. The software was developed using Kiel compiler and embedded C language. The robot is able to safely reach its goal in an unknown environment by overcoming obstacles without human guidance.
Edgefxkits.com has a wide range of electronic projects ideas that are primarily helpful for ECE, EEE and EIE students and the ideas can be applied for real life purposes as well.
http://www.edgefxkits.com/
Visit our page to get more ideas on popular electronic projects developed by professionals.
Edgefx provides free verified electronic projects kits around the world with abstracts, circuit diagrams, and free electronic software. We provide guidance manual for Do It Yourself Kits (DIY) with the modules at best price along with free shipping.
This article discusses about how to build a robot vehicle with arduino, AVR, robot body, DC motor, 8051 microcontroller, metal detector and motor driver IC.
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.
The document describes a proposal for a line maze solver robot project. It includes an introduction to line mazes, the objectives of the project to build an autonomous robot that can solve a line maze, and the key components and methodology. The robot will use 6 light sensors to detect the black line on a white surface and make decisions at intersections. It will use an Arduino microcontroller to process sensor input and control the motors. The first run will record wrong turns to avoid on the second run when it can solve the maze quickly.
This document describes an obstacle avoiding robot with a vacuum cleaner. The robot uses IR sensors and a microcontroller to detect obstacles and navigate around them while using a blower to function as a vacuum cleaner. It discusses the components, circuit diagram, software, applications and future enhancements such as adding a camera to increase range or modifying it to function as a firefighting robot. The goal is to create a robot that can autonomously clean an area while avoiding obstacles.
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.
This document describes the design and implementation of an obstacle avoiding robot by three students - MD. Jobaer, MD. Murshiduzzaman, and Sajib Sarker - from the Department of Electrical & Electronic Engineering at Northern University Bangladesh. The robot is designed to avoid obstacles using sensors.
Android controlled Microcontroller (Arduino) based Motorized Wheelchair for H...MD. Anamul Haque
Physical disability is a curse to human life. Idea of our project "The Intelligent Wheelchair for Handicapped Persons" has occurred to help the handicapped persons. The fundamental operation of the wheelchair is to facilitate handicapped person with safe movement. For ensuring the safety of movement, obstacle sensing, crack detection and living being identification features have been included. Additionally, a voice controlled LCD has been provided considering the case of auditory disabled people. Access to control basic home appliances has also been offered.
SEE MORE: https://goo.gl/DZvJcc
This document describes how to build a robot that can be controlled via Bluetooth from a mobile phone or PC. An HC-05 Bluetooth module connects to a microcontroller on the robot to receive commands from a Bluetooth-enabled device. The microcontroller then uses a motor driver IC to control the robot's motors to move forward, reverse, or turn based on the received commands.
This document is a project report for an IR obstacle detector integrated with a vacuum cleaner robot. It includes sections on the construction of the hardware and software units, describing the basic parts of the project including sensors, microcontroller, driver, motors and blower. It discusses problems faced in the making of the project, testing procedures, applications and future improvements. The report is submitted in partial fulfillment of requirements for a bachelor's degree in electronics and communication engineering.
Class materials for teaching the use of the HC-SR04 ultrasonic sensor with an Arduino Uno. These materials were originally used in Startathon 2016.
The code is available here. https://github.com/SustainableLivingLab/ultrasonic-hc-sr04-usage
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.
This document discusses an Android controlled device project. It presents an introduction to controlling a bot's movements and receiving live video feeds from the bot's camera using an Android phone application. It describes the operating environment including software like Java and hardware like Arduino boards. It also surveys traditional surveillance bots and Android controlled devices, discussing advantages and disadvantages of each. The architecture involves an Android app controlling a microcontroller via Bluetooth. Potential applications are discussed like surveillance, home automation, wheelchairs and military uses. Advantages include live video streaming, voice and motion control, and low cost. The future scope envisions a soldier controlling a robot with camera using a headset and mission control center.
This project aims to design a Bluetooth controlled robot car that can be controlled using an Android phone or laptop. An Atmega8 microcontroller is used for serial communication via a Bluetooth HC-05 module using embedded C programming. The HC-05 module allows wireless Bluetooth control of the robot car from a phone or laptop. An L293D motor driver is used to control the motors based on commands received over Bluetooth from the Android device.
This document describes an Arduino-based obstacle avoiding robotic car. The car uses an ultrasonic sensor to detect obstacles and a micro servo to allow the sensor to scan the environment. It includes a motor shield and DC motors to control movement. The Arduino board processes sensor readings and sends signals to move around obstacles. Components are powered by a 9V battery. The goal is to autonomously navigate environments without human intervention.
1. The document describes a project to design an obstacle avoidance robot using an Arduino.
2. An ultrasonic sensor is used to detect obstacles and the Arduino controls a servo motor to change the robot's direction when obstacles are sensed.
3. The objectives are to design a model car that can avoid obstacles detected by the ultrasonic sensor and programmed using Arduino software.
The document describes how to build a maze follower robot using Arduino, IR sensors, and a motor driver. The robot uses 4 IR sensors - two to follow lines and two more to detect intersections and choose a path. It can identify straight paths, left turns, right turns, intersections, and dead ends. The robot follows a left-hand or right-hand wall tracking algorithm to navigate the maze and reverse direction when it reaches a dead end. Components include an Arduino, IR sensors, motor driver, battery, and wheels. The circuit is assembled on a breadboard and code is used to control motor direction and speed based on sensor input.
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.
AUTOMATIC RAILWAY GATE AND SIGNALLING SYSTEMBiprajitSarkar
The document summarizes an automatic railway gate and signalling system project. The system uses an Arduino microcontroller to automatically control railway gates and signals based on the detection of trains by infrared sensors. When a train is detected approaching, the gate closes and signals change to red. Additional sensors ensure the gate fully closes before trains pass and does not hit any obstacles. When trains pass through, the gate opens again and signals return to their original states, ready for the next train. The project aims to increase safety at railway crossings by removing human error compared to manual systems.
1) The document describes an obstacle avoiding robot project built using an Arduino Uno, ultrasonic sensor, motor driver IC, servo motor, geared motors, and chassis.
2) The robot is programmed to continuously measure the distance to obstacles using the ultrasonic sensor and avoid obstacles by rotating or backing up when distances are less than 15cm.
3) Potential applications of obstacle avoiding robots include household vacuuming, dangerous environments where human access is unsafe, and mobile robot navigation systems.
This document describes the design and implementation of an obstacle avoiding robot using an Arduino microcontroller. It includes a list of hardware components like the Arduino Uno, ultrasonic sensor, motor driver IC, servo motor and chassis. The circuit diagram and code are provided to explain how the Arduino controls the ultrasonic sensor, servo motor and motors to enable the robot to detect obstacles within 15cm and navigate around them. Applications of such robots include automated vacuuming, navigation in hazardous environments, and more.
This document summarizes a student project to build an obstacle avoiding car using an Arduino microcontroller. The car uses an ultrasonic sensor to detect obstacles in its path and changes direction to avoid collisions. It consists of an Arduino Uno, motor driver, ultrasonic sensor, DC motors, and power supply. When an obstacle is detected, the ultrasonic sensor measures the distance and sends a signal to the microcontroller, which then controls the motors to divert the car around the obstacle. Potential applications include mining vehicles, driverless transport systems, and autonomous cleaning robots. The project provides an opportunity to develop mechanical and electronics skills while gaining experience in robot construction.
Robot chooses a simpler non-branching path leads to reach goal very easily from a path or collection of paths, typically from an entrance to goal is known as " MAZE SOLVER ROBOT ".
Automatic railway gate control using arduino unoselvalakshmi24
This document describes an automatic railway gate control system using Arduino Uno. The system uses IR sensors to detect the arrival and departure of trains. When a train is detected, the system closes the railway gate automatically using servo or DC motors controlled by the Arduino. Buzzers notify people trying to cross the gate that it is closing. The system aims to prevent accidents at unmanned railway crossings by automating gate operation instead of manual control. The hardware components include an Arduino Uno, IR sensors, motors, buzzers and more. The system is programmed using Arduino C code.
This document summarizes a seminar presentation on an automatic railway track brake detection system. The system uses ultrasonic sensors to detect cracks or deformations in railway tracks to automatically stop trains if issues are found. It consists of an Arduino, ultrasonic sensors, buzzer, LEDs, and DC motors. The system aims to address the major issue of derailments caused by undetected cracks, improving safety by automatically detecting cracks without human intervention. It provides advantages over traditional detection like quickly locating issues to prevent accidents and save lives.
This project report summarizes the design and working of a line follower robot. It discusses the components used including an LM324 comparator IC, AT89C51 microprocessor, L293D H-bridge motor driver, and IR transmitter and receiver. It explains how the IR sensors detect the line and the microprocessor controls the motors to follow the line by turning when sensors detect line edges. The working principle section describes the robot's line detection and movement logic in detail. Applications mentioned include industrial transport, automated vehicles, and museum tour guides.
Obstacle Detection robot detects the obstacle to avoid collision using ultrasonic sensor. The motors are connected through motor driver IC to microcontroller , to control the speed PWM is used.
This project aims to develop an automatic railway gate control system using sensors and microcontrollers to prevent accidents. The system uses IR sensors to detect approaching trains and automatically opens and closes railway gates. An Arduino board controls DC motors connected to the gates using an L293D motor driver chip. When a train is detected, the gate closes to stop road traffic and prevent collisions at unmanned level crossings. The automatic system eliminates human errors and provides reliable operation without requiring constant human monitoring.
Line following is one of the most important aspects of Robotics. A Line Follower Robot is an autonomous robot which is able to follow either a black or white line that is drawn on the surface consisting of a contrasting color. It is designed to move automatically and follow the made plot line. The path can be visible like a black line on a white surface or it can be invisible like a magnetic field. It will move in a particular direction Specified by the user and avoids the obstacle which is coming in the path. Autonomous Intelligent Robots are robot that can perform desired tasks in unstructured environments without continuous human guidance. It is an integrated design from the knowledge of Mechanical, Electrical, and Computer Engineering. LDR sensors based line follower robot design and Fabrication procedure which always direct along the black mark on the white surface. The robot uses several sensors to identify the line thus assisting the bot to stay on the track. The robot is driven by DC motors to control the movements of the wheels.
collision detector and avoidance robot.....
this presentation is based on collision detector and avoidance robot.....
in which the graphical representation are given about their costs the components which are required in it and their introduction
the main component arduino uno and ultrasonic sensor which sketches are given in the slides and their introduction..
the circuit diagram are also given in the slides which is very helpful,
A line follower robot is designed to follow a predetermined path marked by a physical line or other markers. Various sensing schemes can detect these markers, ranging from simple low-cost line sensors to complex vision systems. Line follower robots are commonly used in manufacturing plants to move along specified paths and pick up and place components. They work by using sensors to detect the line path and feedback mechanisms to stay on course while correcting deviations.
A simple project on Obstacle Avoiding Robot is designed here. Robotics is an interesting and fast-growing field. Being a branch of engineering, the applications of robotics are increasing with the advancement of technology.
Implementation of automatic railway platformjeevansaral
This project aims to implement an automatic railway platform to help handicapped, elderly, and other citizens. The platform would be a mobile bridge between train tracks, allowing passengers to walk between platforms without using stairs. Sensors detect arriving and departing trains and microcontrollers control DC motors to move the platform backwards when a train arrives and forwards when it leaves, following an algorithm. This is intended to improve safety by preventing passengers from walking on the tracks.
Similar to Obstacle Detector & Find The Way to Reach Destination Robot (20)
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
6. Arduino Uno
● The Arduino Uno is an open source microcontroller board.
7. BreadBoard
Jumper Wires
► Jumper Wires:
Can fit into Bread Board, Arduino Uno, Servo etc.
► BreadBoard
Building or prototyping circuits on a breadboard
8. standard size servo with 3 wires
Servo
► A Servo is a small device that incorporates:
a two wire DC motor,
a gear train
a potentiometer
an integrated circuit and
an output shaft.
► Of the three wires that stick out from the motor casing,
One is for power,
One is for ground,
& One is for control input line
14. Flow Chart
Check start signal
Initializing IO ports
Set direction of Robot
LeftRight
Is Obstacle Detected?
Robots goes in
forward direction
Stop
No
No
Yes
Yes
15. Advantages:
► Simple in construction
► Self controlling
► Low power consumption
Disadvantages:
► Rapidly power reduced
► Time consuming
► Applicable for short distance