scholarly journals Development of arduino controlled robotic arm

2020 ◽  
Vol 1 (2) ◽  
pp. 37
Author(s):  
Norfarida Binti Awang
Keyword(s):  
Remote Control ◽  
Graphical User Interface ◽  
Vital Role ◽  
Robotic Arm ◽  
Hand Gesture ◽  
Android Application ◽  
Clockwise Rotation ◽  
Remote Operation ◽  
The People ◽  
Human Arm

<p>Robots are playing a vital role in today’s industrial automation and monitoring system. As technology developed, these robots have increased their applications. Working robots that cooperate to the people makes the work less effort and uncomplicated. A robotic arm is a type of mechanical arm, usually programmable, with similar functions to a human arm. In this project, a programmable robotic arm is redesigned and implemented, and aimed to move using remote control and hand gesture from a certain distance by using wireless component. This robotic arm is based on android application control for remote operation. Inputs are sent to control the movement of the robot either to move in x-axis, y-axis or z-axis using 1Sheeld application on android smartphone. Five motors are interfaced to the microcontroller whereas one motor is used for gripper movement, while the other four motors are used at the joints of the robotic arm for movement. The android application device transmitter acts as a remote control by using hand gesture that has an advantage of adequate range, while receiver (1Sheeld) and Bluetooth device are fed to the microcontroller (Arduino) to drive DC motor via motor driver IC L298N for clockwise and anti-clockwise rotation. Remote operation is achieved by any smartphone with android upon Graphical User Interface (GUI) based touch screen operation.</p>

scholarly journals Virtual Assistant App for Disabled People

2019 ◽  
Vol 9 (2S) ◽  
pp. 326-329
Keyword(s):  
Human Life ◽  
Disabled Persons ◽  
Vital Role ◽  
Android Application ◽  
Disabled People ◽  
Home Owner ◽  
Turn On ◽  
The People ◽  
Different Types ◽  
Visually Challenged

Human life is heading towards busy and hectic schedule it becomes necessary to automate the home appliances. The main objective of virtual assistant is controlling, managing and co-ordinating surrounding devices in a comfortable, secure and effectiveway. Some methods can control and handle different types of appliances using unique methodology. Virtual Assistant presents the automated approach of controlling the household devices that could ease the tasks of using the traditional methods. Augmented Reality isa recently developedmethod for the automation of various electrical appliances which is used to allow virtual pop ups on the screen when the camera of the smartphone is pointed towards the object. This pop up enables the user to turn on or off the device by simple touch selection thus improvising the ways of automation in a significant way. This application is built in such a platform where a visually challenged one also has a chance to interact with the system through braille method. The entire system concentrates on simple way of interaction. The best way of interaction is through Android Application. Developed app will not only be helpful for disabled persons but also provides areliable and well-mannered platform for each and every individual that helps in saving energy. Face recognition plays a vital role in providing security for the home owner by providing information about the people present at their door-step.

Covid-19 – rumours and facts in media

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 171-174
Author(s):  
Tarare Toshida ◽  
Chaple Jagruti
Keyword(s):  
Social Media ◽  
Preventive Measures ◽  
Vital Role ◽  
The Other ◽  
Sources Of Information ◽  
Other Hand ◽  
Corona Virus ◽  
The People ◽  
The World

The covid-19 resulted in broad range of spread throughout the world in which India has also became a prey of it and in this situation the means of media is extensively inϑluencing the mentality of the people. Media always played a role of loop between society and sources of information. In this epidemic also media is playing a vital role in shaping the reaction in ϑirst place for both good and ill by providing important facts regarding symptoms of Corona virus, preventive measures against the virus and also how to deal with any suspect of disease to overcome covid-19. On the other hand, there are endless people who spread endless rumours overs social media and are adversely affecting life of people but we always count on media because they provide us with valuable answers to our questions, facts and everything in need. Media always remains on top of the line when it comes to stop the out spread of rumours which are surely dangerous kind of information for society. So on our side we should react fairly and maturely to handle the situation to keep it in the favour of humanity and help government not only to ϑight this pandemic but also the info emic.

MackDroid - An Android based Application to monitor devices

2016 ◽  
Vol 9 ◽  
pp. 1
Author(s):  
Maaz Sirkhot ◽  
Ekta Sirwani ◽  
Aishwarya Kourani ◽  
Akshit Batheja ◽  
Kajal Jethanand Jewani
Keyword(s):  
Operating System ◽  
Open Source ◽  
Vital Role ◽  
Mobile Users ◽  
Android Application ◽  
Web Page ◽  
Technological World ◽  
Monitoring Service ◽  
User Friendly

In this technological world, smartphones can be considered as one of the most far-reaching inventions. It plays a vital role in connecting people socially. The number of mobile users using an Android based smartphone has increased rapidly since last few years resulting in organizations, cyber cell departments, government authorities feeling the need to monitor the activities on certain targeted devices in order to maintain proper functionality of their respective jobs. Also with the advent of smartphones, Android became one of the most popular and widely used Operating System. Its highlighting features are that it is user friendly, smartly designed, flexible, highly customizable and supports latest technologies like IoT. One of the features that makes it exclusive is that it is based on Linux and is Open Source for all the developers. This is the reason why our project Mackdroid is an Android based application that collects data from the remote device, stores it and displays on a PHP based web page. It is primarily a monitoring service that analyzes the contents and distributes it in various categories like Call Logs, Chats, Key logs, etc. Our project aims at developing an Android application that can be used to track, monitor, store and grab data from the device and store it on a server which can be accessed by the handler of the application.

Remote control of a robotic platform based on hand gesture recognition

2017 ◽  
Author(s):  
Alexandru Pasarica ◽  
Casian Miron ◽  
Dragos Arotaritei ◽  
Gladiola Andruseac ◽  
Hariton Costin ◽  
...  
Keyword(s):  
Remote Control ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Robotic Platform

Utilization of the Oculus Rift HMD in Mobile Robot Teleoperation

2014 ◽  
Vol 555 ◽  
pp. 199-208 ◽  
Author(s):  
Tomáš Kot ◽  
Petr Novák
Keyword(s):  
User Interface ◽  
Remote Control ◽  
Mobile Robots ◽  
Graphical User Interface ◽  
Additional Data ◽  
Mobile Robotics ◽  
3D Display ◽  
Oculus Rift ◽  
Head Mounted Display ◽  
In The Beginning

This paper mentions some problems related to utilization of a head-mounted display (HMD) for remote control of mobile robots by a human operator and also presents a possible solution. Considered is specifically the new HMD device called Oculus Rift, which is a very interesting device because of its great parameters and low price. The device is described in the beginning, together with some of the specific principles of the Oculus 3D display. Then follows the design of a new graphical user interface for teleoperation, with main focus on visualization of stereoscopic images from robot cameras. Demonstrated is also a way how to display additional data and information to the operator. The overall aim is to create a comfortable and highly effective interface suitable both for exploration and manipulation tasks in mobile robotics.

ROBOTS AND APPAREL MANUFACTURING

2021 ◽  
Vol 0 (15) ◽  
pp. 0-0
Author(s):  
Ahmet ÖZBEK ◽  
Oğuzhan PEKİNALP
Keyword(s):  
Quality Control ◽  
Humanoid Robot ◽  
Robotic Systems ◽  
Robotic Arm ◽  
Apparel Manufacturing ◽  
Robot Gripper ◽  
The People ◽  
Apparel Production ◽  
The Subject ◽  
Robot Technology

Aim: The main purpose of this manuscript is to examine the robot technologies developed or under development for use in apparel production. Then, based on the identified related robotic technologies, it is aimed to inform the apparel clothing companies about the latest status of robot technologies and to provide information about the identified shortcomings to the people or institutions interested in this field, leading to new studies. Method: Within the scope of the manuscript, the literature on the subject was searched. Results: As a result of the literature review, robotics developed or under development to perform fabric laying (PR2 robot, Gripper and Picking Pad), sewing (Kuka LWR 4 and Robotic Arm), ironing (Baxter and Humanoid robot TEO) and packaging (Robot Motoman SDA10D) technologies have been identified. However, no robot technology has been found for cutting and quality control processes. Conclusion: Although many robotic systems have been developed for use in the apparel production, it has been understood that new R&D studies are needed in this area in order for the production to be fully robotized.

Design Human-Robot Collaborative Lifting Task Using Optimization

2021 ◽  
Author(s):  
Asif Arefeen ◽  
Yujiang Xiang
Keyword(s):  
Degrees Of Freedom ◽  
Joint Angle ◽  
Joint Torque ◽  
Robotic Arm ◽  
Inverse Dynamic ◽  
Floating Base ◽  
Grasping Forces ◽  
Design Variables ◽  
Human Arm ◽  
Lifting Task

Abstract In this paper, an optimization-based dynamic modeling method is used for human-robot lifting motion prediction. The three-dimensional (3D) human arm model has 13 degrees of freedom (DOFs) and the 3D robotic arm (Sawyer robotic arm) has 10 DOFs. The human arm and robotic arm are built in Denavit-Hartenberg (DH) representation. In addition, the 3D box is modeled as a floating-base rigid body with 6 global DOFs. The interactions between human arm and box, and robot and box are modeled as a set of grasping forces which are treated as unknowns (design variables) in the optimization formulation. The inverse dynamic optimization is used to simulate the lifting motion where the summation of joint torque squares of human arm is minimized subjected to physical and task constraints. The design variables are control points of cubic B-splines of joint angle profiles of the human arm, robotic arm, and box, and the box grasping forces at each time point. A numerical example is simulated for huma-robot lifting with a 10 Kg box. The human and robotic arms’ joint angle, joint torque, and grasping force profiles are reported. These optimal outputs can be used as references to control the human-robot collaborative lifting task.

Integration of synchronous compensator in Terna's remote control and remote operation system

2019 ◽  
Author(s):  
E. M. Carlini ◽  
S. Neri ◽  
A. Marietti ◽  
A. Borriello ◽  
L. Barison ◽  
...  
Keyword(s):  
Remote Control ◽  
Operation System ◽  
Remote Operation

scholarly journals AN EFFICIENT METHOD FOR HAND GESTURE RECOGNITION USING ROBUST FEATURES VECTOR

2021 ◽  
Vol 6 (22) ◽  
pp. 25-35
Author(s):  
A F M Saifuddin Saif ◽  
Zainal Rasyid Mahayuddin
Keyword(s):  
Gesture Recognition ◽  
Efficient Method ◽  
Industrial Revolution ◽  
Hessian Matrix ◽  
Vital Role ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Natural Mode ◽  
Interest Points ◽  
Human Machine Interaction

Integration of technology for the Fourth Industrial Revolution (IR 4.0) has increased the need for efficient methods for developing dynamic human computer interfaces and virtual environments. In this context, hand gesture recognition can play a vital role to serve as a natural mode of interactive human machine interaction. Unfixed brightness, complex backgrounds, color constraints, dependency on hand shape, rotation, and scale variance are the challenging issues which have an impact on robust performance for the existing methods as per outlined in previous researches. This research presents an efficient method for hand gesture recognition by constructing a robust features vector. The proposed method is performed in two phases, where in the first phase the features vector is constructed by selecting interest points at distinctive locations using a blob detector based on Hessian matrix approximation. After detecting the area of the hand from the features vector, edge detection is applied in the isolated hand followed by edge orientation computation. After this, templates are generated using one and two dimensional mapping to compare candidate and prototype images using adaptive threshold. The proposed research performed extensive experimentation, where a recognition accuracy rate of 98.33% was achieved by it, which is higher as compared to previous research results. Experimental results reveal the effectiveness of the proposed methodology in real time.

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