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.

A Comparative Study on the Pick-and-Place Trajectories for a Delta Robot

2016 ◽  
Author(s):  
Zexiao Xie ◽  
Peixin Wu ◽  
Ping Ren
Keyword(s):  
Comparative Study ◽  
High Speed ◽  
Computation Time ◽  
Optimization Methods ◽  
Terminal State ◽  
Industrial Robots ◽  
Piecewise Polynomials ◽  
Pick And Place ◽  
Dynamic Performances ◽  
Delta Robot

A comparative study on the pick-and-place trajectories for high-speed Delta robots is presented in this paper. The Adept Cycle has been widely accepted as a standardized pick-and-place trajectory for industrial robots. The blending curves and optimization methods to smooth this trajectory are briefly surveyed. Three major types of trajectories: Lamé curves, clothoids and piecewise polynomials, are selected as candidates to be compared. The processes to generate these trajectories are briefly reviewed. The trajectories are firstly compared in term of their computation time. Then, based on a dynamic model and an experimental prototype of the Delta robot, different combinations of the geometric paths and motion profiles are compared in terms of power consumption, terminal state accuracy and residual vibration. The effects of trajectory configurations and parameters on the robot’s dynamic performances are investigated. Through a comprehensive analysis on both simulation and experimental results, a near-optimal pick-and-place trajectory for the Delta robot is identified and validated.

Computer Aided Synthesis of Adjustable Robotic Mechanisms

1994 ◽  
Author(s):  
Thatchai Chuenchom ◽  
Sridhar Kota
Keyword(s):  
High Speed ◽  
Low Cost ◽  
Industrial Applications ◽  
Industrial Robots ◽  
Middle Ground ◽  
Pick And Place ◽  
Computer Aided

Abstract Conventional hard automation such as linkage mechanisms or cam-driven mechanisms provide high speed capability at a low cost (using typically one actuator), but fail to provide the flexibility required in many industrial applications. Manufacturers are increasingly turning to multi-axis robots to fulfill flexibility demands. In many cases, however, the flexibility requirements are limited; i.e. a given pick-and-place unit may be required to perform only a handful of different operations. Therefore, the expensive robots are under-utilized. By incorporating flexibility in conventional linkage-type mechanisms, we are developing adjustable robotic mechanisms (ARMs) to serve as a middle ground between hard automation and overly flexible serial-jointed industrial robots.

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.

scholarly journals Study on image processing method to classify objects on dynamic conveyor

2020 ◽  
Vol 2 (SI2) ◽  
pp. First
Author(s):  
Huy Ngoc Tran
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Object Identification ◽  
Industrial Robots ◽  
Robotic Arm ◽  
Robot Arm ◽  
Vision Sensor ◽  
Image Processing Algorithm ◽  
Product Packaging ◽  
Object A

Controlling a robotic arms for applications such as detection and classification moving object using the vision sensor is a trend in the field of industrial robots. In particular, the vision sensor is the "eye" of the robot. To solve this problem, we need an efficient image processing algorithm for object identification to optimize the speed. Our classification principle based on the color of the object to be classified first, then separating contour to classify according to the shape of the object. In addition, our paper also propose a classification method that rarely mentioned in the relevant documents that classify based on object's characteristic. In fact, the product packaging not only has one color, but also includes complex color and patterns. Being able to classify these products shows the practicality of the proposed method. For complex colors and patterns object, the PCASIFT algorithm is useful, where SIFT extracts the local characteristics of the object and PCA reduces the number of dimensionality and retain only the best characteristics for identification. To picking object, a proposed design with the optimal requirements of picking order so that picking time is the shortest to minimize the delay for the next picking. The other outstanding advantage is a system of robotic arm to perform pick-up and sorting. This helps to verify good running algorithms in real time. The items are randomly released and the rotation of items is random. The speed of the conveyor is 5cm/s, an average of more than 2 seconds to pick up an object and robot arm processing precisely at high speed. The experimental results using camera Logitech C270, Yamaha Scara YK-400X robotic arm, LabVolt conveyor and OpenCV library are satisfactory, reliable and applicable.

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.

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>

Energy-Saving High-Speed Pick-and-Place Robot Using In-Frame Parallel Spring

2015 ◽  
Vol 27 (3) ◽  
pp. 267-275
Author(s):  
Jumpei Arata ◽  
◽  
Yuji Isogai ◽  
Junya Sumida ◽  
Masamichi Sakaguchi ◽  
...  
Keyword(s):  
Energy Saving ◽  
High Speed ◽  
Supply And Demand ◽  
Industrial Applications ◽  
Spring Steel ◽  
Industrial Robots ◽  
Global Issues ◽  
Pick And Place ◽  
Acceleration And Deceleration ◽  
Robotic Instruments

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270003/06.jpg"" width=""340"" />Concept prototype</div> Robotic instruments have recently been widely introduced into industrial automation. As energy supply and demand have become global issues, energy saving in industrial robots has become urgent. In general industrial pick-and-place robots, servomotors periodically repeat acceleration and deceleration, consequently lose much energy in motion. We propose a mechanism using an in-frame parallel spring for the pick-and-place robot. During motion, spring blades deform and store energy, then release it as energy of motion, enabling the mechanism to recycle energy that have been lost in conventional mechanisms. In this paper, a 1 DOF proof-of-concept prototype and preliminary feasibility tests are described. In this study, we applied in-frame parallel springs to a mechanism for pick-and-place robot. The parallel springs are fabricated from spring steel SK85M (Young’s modulus: 210 GPa) with 252 mm long, 50 mm wide and 0.3 mm thick. The results suggest that the prototype can achieve a repeated motion with the range of ±145.7 mm in 2.56 Hz by 1.17 W, greatly reduced from that of the the traditional mechanisms. In addition, it is desired to stop the robot immediately in regular motion if anomalies occurred in industrial applications. The prototype showed that an immediate stop in 0.6 s was feasible by dissipating elastic energy stored in spring blades, confirming the feasibility of our proposed mechanism.

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