Robotic Arm

a smart robotic arm controlling system will be presented. The robotic arm system is controlled by a Raspberry PI, which is a compact card size, smart, embedded system. To the Raspberry PI cameras like a Logitech C270 web camera or a TP-LINK TL-SC3230 IP camera are connected, these acquire live image

Project Title

Robotic Arm

Project Area of Specialization

Artificial Intelligence

Project Summary

a smart robotic arm controlling system will be presented. The robotic arm system is controlled by a Raspberry PI, which is a compact card size, smart, embedded system. To the Raspberry PI cameras like a Logitech C270 web camera or a TP-LINK TL-SC3230 IP camera are connected, these acquire live images, which are then processed and the robotic arm is controlled accordingly. The robotic arm has no preprogrammed functions, everything is decided in real-time. The robotic arm is controlled via a serial interface by a USB to serial dongle

Project Objectives

The current Internet revolution along with the increasing robotics in many day-to-day operations of the Internet of Things has taken over all the heavy loads from the person to itself. The Internet of Things (IOT) is essentially an interconnection of several devices. Robots are used to support human beings in different situations if we combine the robots and the Internet of things then we can do more than we would imagine. This project addresses technical implications, open problems, and IOT-assisted robotics applications. The paper's main objective is to introduce a device with one robot used for selecting and putting applications in industries. This system has Robot-Control-Communicating Modules. There are basically four modules that need to be discussed here. 1) Raspberry pi Laptop System 2) Development of an account for Ada-fruit IO Remote. 3) Formulation of operating python code software. 4) Robotic arm link with pi, servo motor, motor driver and checking. The robotic arm is a kind of mechanical arm which can be programmed to behave like a human arm. An anthropomorphic robotic arm is developed and implemented in this work, and is operated from a remote location using adafruit programming software and python. This can find application on a wide scale where direct human presence is a concern such as operating in a toxic environment or during the disposal of bombings. In the past some works were done to imitate the movement of human hands, but some of the designs were complicated and often expensive. A very basic concept is used in this work, and low-cost materials readily available are used for producing the robotic arm. The arm is made from sheets of aluminium. Using servo motors, the finger movements are controlled by pulling them using cables which function as human hand tendons. Considered Robotic ARM has one base rotation which contains a servomotor of 180 degrees and all remaining are DC motors with proper delay.

Project Implementation Method

The control circuitry of the Lynxmotion AL5 type robotic arms is the SSC-32 servo control board, which can control up to 32 servomotors. For the Lynxmotion AL5 type robotic arms only 6 motors are needs to be controlled, so the SSC-32 servo control board is more than suitable to do the task. For a 3D movement even the control of 3 motors is enough. The SSC32 servo control board can communicate with a master device, in the present case with a Raspberry PI, via RS-232 serial port. The SSC-32 servo control board generates PWM signals on the digital ports with a specific duty cycle coded in the SCPI commands and this is sent over the serial interface. The PWM signal will move the connected motor proportionally with the preset duty cycle [11]. The robotic arm has special Hitec motors, they have gears for increasing torque and they have also a small control circuitry which has 3 signals, 5 V, ground and PWM. At the PWM input a signal is received from the SSC-32 servo control board, this way the circuit board will move the motor as much as the duty cycle of the PWM signal is set. The motors are blocked mechanically to be able to move only 180°, so they cannot rotate 360°; they just make very small movements .

The used Raspberry PI is the model B, which is not the latest model, but for the robotic arm control experiment it worked just fine.

Benefits of the Project

for color blind .

can serve as waiter at hotels.

at medcin shops 

at factries for assembling

Technical Details of Final Deliverable

Here in this functional method we make sure all the connections are rightly established. 2. The connections should be as followsPi to Router Pi to laptop wireless Pi to motor driver Motor driver to Robotic arm Robotic arm to servo motor.

The software was implemented in Python scripting language using the OpenCV libraries. The software is running on the Raspberry PI on Raspbian (Debian) Linux “Wheezy” v7.0 operating system. The image acquisition is done using Logitech C270 webcams over USB interface or TP-LINK TL-SC3230 IP cameras over Ethernet interface. With IP camera, the acquisitioning system is a little bit different. The IP camera takes pictures which are sent over Ethernet to the Raspberry PI. If the acquisitioning is done with a big frame rate, the pictures loaded look like a live stream, but actually there are more pictures loaded like the frames of a movie.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT), Robotics

Sustainable Development Goals

Good Health and Well-Being for People, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com