scholarly journals Accelerometer Based Control of Robotic Arm

2016 ◽  
Vol 5 (3) ◽  
pp. 176
Author(s):  
Yogita Sawant
Keyword(s):  
Robotic Arm ◽  
Human Hand ◽  
Production Lines ◽  
Robotic Arms ◽  
Pick And Place ◽  
Time Required ◽  
Small Parts ◽  
Similar Kind

<p class="Abstract"><em>Abstract</em>— <em><span>Robots are very smart and interactive machines that can be programmed and used in many areas such as industry, manufacturing, production lines, household or health, etc. These robots can perform hard, dangerous, and accurate work to facilitate our life and to increase the production. Humans</span></em><em><span> are trying to minimize the time required to do the similar kind of jobs. The task in which picking &amp; placing of an object is to be done, can be carried out with the help of robots. These robots can minimize the human efforts. The robotic arms can be also used in the industries to assemble the small parts, in chemical industries to pick and place small types of object such as tablets. Artificial robotic arms thus can be used to control gestures. In this paper an  idea of controlling robotic arm is implemented using an accelerometer which is placed </span></em><em>on the human hand, capturing its behavior (gestures and postures) which are then transmitted at some distance and the robotic arm assembly connected wirelessly moves accordingly.</em></p>

scholarly journals Implementation of Gesture Control Robotic Arm for Automation of Industrial Application

2020 ◽  
pp. 147-156
Author(s):  
Shriya A. Hande ◽  
Nitin R. Chopde
Keyword(s):  
System Design ◽  
The Other ◽  
Robotic Arm ◽  
Human Hand ◽  
Design And Implementation ◽  
Gesture Control ◽  
Rf Signals ◽  
Pick And Place ◽  
Almost All ◽  
Minimal Effort

<p>In today’s world, in almost all sectors, most of the work is done by robots or robotic arm having different number of degree of freedoms (DOF’s) as per the requirement. This project deals with the Design and Implementation of a “Wireless Gesture Controlled Robotic Arm with Vision”. The system design is divided into 3 parts namely: Accelerometer Part, Robotic Arm and Platform. It is fundamentally an Accelerometer based framework which controls a Robotic Arm remotely utilizing a, little and minimal effort, 3-pivot (DOF's) accelerometer by means of RF signals. The Robotic Arm is mounted over a versatile stage which is likewise controlled remotely by another accelerometer. One accelerometer is mounted/joined on the human hand, catching its conduct (motions and stances) and hence the mechanical arm moves in like manner and the other accelerometer is mounted on any of the leg of the client/administrator, catching its motions and stances and in this way the stage moves as needs be. In a nutshell, the robotic arm and platform is synchronised with the gestures and postures of the hand and leg of the user / operator, respectively. The different motions performed by robotic arm are: PICK and PLACE / DROP, RAISING and LOWERING the objects. Also, the motions performed by the platform are: FORWARD, BACKWARD, RIGHT and LEFT.</p>

scholarly journals Efficiency Comparison between Robotic Manipulator Configurations for Trajectory/Path Tracing

2020 ◽  
Vol 10 (11) ◽  
pp. 56-60
Author(s):  
Joshua Laber ◽  
◽  
Ravindra Thamma
Keyword(s):  
Global Economy ◽  
High Speed ◽  
Industrial Robots ◽  
Robotic Arm ◽  
Manufacturing Companies ◽  
Robotic Arms ◽  
Repetitive Tasks ◽  
Pick And Place ◽  
Efficiency Comparison ◽  
Speed And Accuracy

In automation, manufacturing companies require high speed and efficiency to remain competitive in the global economy. One of the most popular ways to increase precision, speed, and accuracy is to implement industrial robotic arms. As of 2020, 2.7 million industrial robots are in operation worldwide. A robotic arm is a machine used to automatic repetitive tasks by manipulating tools or parts in the space around it. Businesses use robotic arms for many operations including pick and place, machining, welding, precision soldering, and other tasks. But with all the different types and configurations of robotic arms, the question remains: What arm would best suit the task at hand? This paper examines and compares three commonly available types of robotic arm: 5-DoF, 6-DoF, and SCARA to compare which are most efficient in tracing paths.

scholarly journals Gesture based wireless control for a robotic manipulator

2018 ◽  
Vol 7 (2.31) ◽  
pp. 231
Author(s):  
Arockia Vijay Joseph ◽  
Akshat Mathur ◽  
Jatin Verma ◽  
Ankita Singh
Keyword(s):  
Image Processing ◽  
Motion Tracking ◽  
Robotic Manipulators ◽  
Robotic Manipulator ◽  
Robotic Arm ◽  
Human Hand ◽  
The Past ◽  
Wireless Control ◽  
Pick And Place

This project plays a very important role to complement the industrial and automation field. Nowadays, robots are used in several fields of engineering and manufacturing and the systems for controlling or actuating them have also enhanced from the past. The use of gestures for controlling them has been the new trend to control the movement of robotic manipulators. The various methodologies for controlling them are motion tracking, image processing and by using Kinect sensors. All these methods can be used as a teach pendant where one can provide the movement of the manipulator as a preset and the manipulator can carry out the same motion repetitively, or in the case of motion tracking and while using Kinect sensors, the user is bound to a confined area where the cameras can monitor the user’s body. Here, we propose a wireless controlled robotic arm system for tool handling (pick and place) and many other applications where human reach is elusive. The result is that the gestures of the human hand are in sync with the manipulator’s movement. Further, this robotic arm has been implanted beneath a drone which would then have the ability to reach certain heights where human reach is impervious or might put a human’s life in jeopardy. In this case, the user can maneuver along with manipulator wherever it is used.  

Visual Simulation of Aristo Robot With Workspace Analysis

2008 ◽  
Author(s):  
Upendra K. Parghi ◽  
H. K. Raval
Keyword(s):  
Three Dimensional ◽  
Robotic Arm ◽  
Visual Simulation ◽  
Robotic Arms ◽  
Workspace Analysis ◽  
Payload Capacity ◽  
Pick And Place ◽  
Different Types ◽  
Commercial Applications ◽  
Industrial Needs

Robotics is a technology that is utilized tremendously in Industrial and Commercial Applications. Different types of robotic arms are used to fulfill the industrial needs. The aim of the work presented in this paper is to give a visual simulation of the robotic arm (Aristo Robot – 6 DOF) which can be used with offline robotic programming thereby introducing the language to the user and creating a training package for the user. This software also reduces the time as programming can be done offline. The pick and place robotic arm comprises of 6 links, which each of them has one degree of freedom (DOF) with a payload capacity of 3 kg is used for visual simulation. The main objective is to design a three dimensional graphic of a robotic arm and its movement animation that imitates the movement of actual robotic arm. The graphic design is then used as a foundation to find its limits of reach in the surrounding. Also the analysis of workspace is done to understand its workspace volume properly.

scholarly journals Low-cost pick and place anthropomorphic robotic arm for the disabled and humanoid applications

2020 ◽  
Vol 1 (2) ◽  
pp. 35-42
Author(s):  
Norsinnira Zainul Azlan ◽  
Mubeenah Titilola Sanni ◽  
Ifrah Shahdad
Keyword(s):  
Degrees Of Freedom ◽  
Low Cost ◽  
Robotic Arm ◽  
Robotic Arms ◽  
Kinematic Study ◽  
Human Arm ◽  
Pick And Place ◽  
The Disabled ◽  
Command Input ◽  
The Voice

This paper presents the design and development of a new low-cost pick and place anthropomorphic robotic arm for the disabled and humanoid applications. Anthropomorphic robotic arms are weapons similar in scale, appearance, and functionality to humans, and functionality. The developed robotic arm was simple, lightweight, and has four degrees of freedom (DOF) at the hand, shoulder, and elbow joints. The measurement of the link was made close to the length of the human arm. The anthropomorphic robotic arm was actuated by four DC servo motors and controlled using an Arduino UNO microcontroller board. The voice recognition unit drove the command input for the targeted object. The forward and inverse kinematics of the proposed new robotic arm has been analysed and used to program the low cost anthropomorphic robotic arm prototype to reach the desired position in the pick and place operation. This paper’s contribution is in developing the low cost, light, and straightforward weight anthropomorphic arm that can be easily attached to other applications such as a wheelchair and the kinematic study of the specific robot. The low-cost robotic arm’s capability has been tested, and the experimental results show that it can perform basic pick place tasks for the disabled and humanoid applications.

LEAP MOTION UNDERWATER ROBOTIC ARM CONTROL

2015 ◽  
Vol 74 (9) ◽  
Author(s):  
Lee Jun Wei ◽  
Loi Wei Sen ◽  
Zamani Md. Sani
Keyword(s):  
Control Algorithm ◽  
Inverse Kinematic ◽  
Robotic Arm ◽  
Leap Motion ◽  
Robotic Arms ◽  
Gesture Control ◽  
Pick And Place ◽  
Robotic Arm Control ◽  
Reliability Performance ◽  
And Control

The robotic arm structure and control algorithm are designed for a purpose, to pick and place an object task at underwater which is attached to a ROV (Remotely Operated Underwater Vehicle). It is controlled by an innovated gesture control system, Leap Motion controller. The arm structure of pick and place is controlled by Arduino as microcontroller to control the angles and displacements of the servomotor precisely. The detection of position and orientation of the fingers and hands processed by develop control algorithm in Javascript language and sent to the Arduino. Meanwhile, a detailed 3D drawing is drawn precisely by using SolidWorks for the fabrication. After the platform is completed, kinematic and inverse kinematic equations and calculations are programed into JavaScript language for the control algorithm. Lastly, the hardware and software combined all together. With developed control algorithm, the robotic arm mimics human’s fingers and arm movements which more user friendly interface especially underwater scavenging and salvaging. Since it designed for underwater, the accuracy and precision are crucial for robotic arms, it undergo several experiments and tests for investigate reliability performance of developed robotic arm.   

scholarly journals That and There: Judging the Intent of Pointing Actions with Robotic Arms

2020 ◽  
Vol 34 (06) ◽  
pp. 10343-10351
Author(s):  
Malihe Alikhani ◽  
Baber Khalid ◽  
Rahul Shome ◽  
Chaitanya Mitash ◽  
Kostas Bekris ◽  
...  
Keyword(s):  
Common Sense ◽  
Human Subjects ◽  
Robotic Arm ◽  
Task Context ◽  
Robotic Arms ◽  
Human Partner ◽  
Pick And Place ◽  
Embodied Communication ◽  
English Speaking ◽  
And Task

Collaborative robotics requires effective communication between a robot and a human partner. This work proposes a set of interpretive principles for how a robotic arm can use pointing actions to communicate task information to people by extending existing models from the related literature. These principles are evaluated through studies where English-speaking human subjects view animations of simulated robots instructing pick-and-place tasks. The evaluation distinguishes two classes of pointing actions that arise in pick-and-place tasks: referential pointing (identifying objects) and locating pointing (identifying locations). The study indicates that human subjects show greater flexibility in interpreting the intent of referential pointing compared to locating pointing, which needs to be more deliberate. The results also demonstrate the effects of variation in the environment and task context on the interpretation of pointing. Our corpus, experiments and design principles advance models of context, common sense reasoning and communication in embodied communication.

Pose Estimation of Objects Using Digital Image Processing for Pick-and-Place Applications of Robotic Arms

2020 ◽  
Vol 38 (5A) ◽  
pp. 707-718 ◽  
Author(s):  
Firas S. Hameed ◽  
Hasan M. Alwan ◽  
Qasim A. Ateia
Keyword(s):  
Image Processing ◽  
Robot Vision ◽  
Object Identification ◽  
Robotic Arm ◽  
Edge Image ◽  
End Effector ◽  
Robotic Arms ◽  
Pick And Place ◽  
Visual Interaction ◽  
2D Images

Robot Vision is one of the most important applications in Image processing. Visual interaction with the environment is a much better way for the robot to gather information and react more intelligently to the variations of the parameters in that environment. A common example of an application that depends on robot vision is that of Pick-And-Place objects by a robotic arm. This work presents a method for identifying an object in a scene and determines its orientation. The method presented enables the robot to choose the best-suited pair of points on the object at which the two-finger gripper can successfully pick the object. The scene is taken by a camera attached to the arm’s end effector which gives 2D images for analysis. The edge detection operation was used to extract a 2D edge image for all the objects in the scene to reduce the time needed for processing. The methods proposed showed accurate object identification which enabled the robotic to successfully identify and pick an object of interest in the scene.

Design of spline surface vacuum gripper for pick and place robotic arms

2020 ◽  
Vol 4 (2) ◽  
pp. 48-55
Author(s):  
A. S. Jamaludin ◽  
M. N. M. Razali ◽  
N. Jasman ◽  
A. N. A. Ghafar ◽  
M. A. Hadi
Keyword(s):  
Cycle Time ◽  
Industrial Robot ◽  
Annealing Process ◽  
Vacuum Suction ◽  
Robotic Arms ◽  
Custom Made ◽  
Pick And Place ◽  
Manufacturing Procedure ◽  
Production Flexibility ◽  
The Impact

The gripper is the most important part in an industrial robot. It is related with the environment around the robot. Today, the industrial robot grippers have to be tuned and custom made for each application by engineers, by searching to get the desired repeatability and behaviour. Vacuum suction is one of the grippers in Watch Case Press Production (WCPP) and a mechanism to improve the efficiency of the manufacturing procedure. Pick and place are the important process for the annealing process. Thus, by implementing vacuum suction gripper, the process of pick and place can be improved. The purpose of vacuum gripper other than design vacuum suction mechanism is to compare the effectiveness of vacuum suction gripper with the conventional pick and place gripper. Vacuum suction gripper is a mechanism to transport part and which later sequencing, eliminating and reducing the activities required to complete the process. Throughout this study, the process pick and place became more effective, the impact on the production of annealing process is faster. The vacuum suction gripper can pick all part at the production which will lower the loss of the productivity. In conclusion, vacuum suction gripper reduces the cycle time about 20%. Vacuum suction gripper can help lower the cycle time of a machine and allow more frequent process in order to increase the production flexibility.

Sign in / Sign up

Export Citation Format

Share Document