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IAES International Journal of Robotics and Automation (IJRA)
ISSN : 20894856     EISSN : 27222586     DOI : -
Core Subject : Engineering,
Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our co-workers in factories and offices, or maids in our homes. The IAES International Journal of Robotics and Automation (IJRA) is providing a platform to researchers, scientists, engineers and practitioners throughout the world to publish the latest achievement, future challenges and exciting applications of intelligent and autonomous robots. IJRA is aiming to push the frontier of robotics into a new dimension, in which motion and intelligence play equally important roles. Its scope includes (but not limited) to the following: automation control, automation engineering, autonomous robots, biotechnology and robotics, emergence of the thinking machine, forward kinematics, household robots and automation, inverse kinematics, Jacobian and singularities, methods for teaching robots, nanotechnology and robotics (nanobots), orientation matrices, robot controller, robot structure and workspace, robotic and automation software development, robotic exploration, robotic surgery, robotic surgical procedures, robotic welding, robotics applications, robotics programming, robotics technologies, robots society and ethics, software and hardware designing for robots, spatial transformations, trajectory generation, unmanned (robotic) vehicles, etc.
Articles 7 Documents
Search results for , issue "Vol 6, No 3: September 2017" : 7 Documents clear
Sensor Fusion of Leap Motion Controller and Flex Sensors using Kalman Filter for Human Finger Tracking Godwin Ponraj Joseph Vedhagiri; Hongliang Ren
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (941.391 KB) | DOI: 10.11591/ijra.v6i3.pp178-187

Abstract

In our daily life, we, human beings use our hands in various ways for most of our day-to-day activities. Tracking the position, orientation and articulation of human hands has a variety of applications including gesture recognition, robotics, medicine and health care, design and manufacturing, art and entertainment across multiple domains. However, it is an equally complex and challenging task due to several factors like higher dimensional data from hand motion, higher speed of operation, self-occlusion, etc. This paper puts forth a novel method for tracking the finger tips of human hand using two distinct sensors and combining their data by sensor fusion technique.
Implementing 3D Printer to Produce Parts in Medical Applications Roger Johnson; Charles Taylor; G. H. Massiha
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.728 KB) | DOI: 10.11591/ijra.v6i3.pp188-199

Abstract

The purpose of this project is to show the ability of a 3D printer to produce temporary parts, molds, and jigs for industrial applications. In the industry, it is common for any replacement parts to be milled by a CNC machine or a large inventory of replacement parts to be kept on standby.  This represents an underutilization of company capital.  This is because there should either be a CNC machine delegated to remake the part, while the other machine is down, or have capital dumped into parts that will not be utilized until a part breaks.  A 3D printer can create a temporary part that can take the place of the broken one until another, more permanent, one can be produced or ordered.  Although, if this was the only thing it would be used for it also would be underutilized and not bringing out its full potential.  It can also make jigs in a fraction of the time, and cost in materials, it would take for a CNC machine to mill it from metal.  This increases flexibility of the 3D printer and does not leave it underutilized, thus not being capital that is underutilized.
Discrete-time Inversion Model Control of a Double-damper System with Uncertain Parameters Marwa Hannachi; Ikbel Bencheikh Ahmed; Dhaou Soudani
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (654.377 KB) | DOI: 10.11591/ijra.v6i3.pp168-177

Abstract

This paper addresses the control at discrete time of physical complex systems multi-inputs multi-outputs with variables parameters. Classified among the robust control laws the Internal Model Control (IMC) is adopted in this work to ensure the desired performances adjacent to the complexities of the system. However, the application of this control strategy requires that these different building blocks be open loop stable, which invites us, on the one hand, to apply the algebraic approach of Kharitinov for delimiting the summits stability domain’s system. On the other case, the Linear Matrix Inequalities (LMI) approach is applied to determine the corrector’s stability conditions obtained by a specific inversion of the chosen model. It is in this sense that we contribute by this work to execute the command by inversion the discrete-time model in order to ensure the stability and to maintain the performances the stability conditions of required for the double damper system with variable parameters.
Autonomous Vehicle Control System as a Mobile Robot by Artificial Neural Network Nazmul Haque; Md Hasnat Riaz
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.629 KB) | DOI: 10.11591/ijra.v6i3.pp200-206

Abstract

In this paper we have presented the artificial neural network controlled car in mobile robotics and intelligent car systems. The motion control architecture of the robot is presented with an importance on the support and directing units. This uses neural network methods and the values fundamental its design is drawn. A robust neural control system using a model of the process is also developed.
The Influence of Non-planar (Spatial) Links in the Static Characteristics Behavior of Planar Parallel Manipulator Ganesh Mangavu; Karthikeyan. R; Venkitachalam. P; Guruguhan . G; S. Shrinithi; Kannan. S; Anjan Kumar Dash
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1237.101 KB) | DOI: 10.11591/ijra.v6i3.pp151-167

Abstract

Conventional planar manipulators have all their links in a single plane. Increasing payload at the end-effecter/mobile platform can induce high stress in the links due to cantilever nature of links. Thus it limits the total vertical load that can be applied on the mobile platform. In contrast to the links in conventional planar parallel mechanisms, non-planar links are proposed in this paper, i.e., links are made inclined to the horizontal plane and non planar legs are constructed. Although the links are made non-planar, the rotary (or prismatic) joints axes remain perpendicular (or parallel) to the plane of the base platform, which retains the planar motion of the end-effecter. For studying the application of such non planar links in planar manipulators, new models of inertia, stiffness and leg dynamics have to be developed. In this article, these models are developed and with the developed models, the static analysis is done on the planar manipulators with non-planar links and the performance is compared with the corresponding conventional planar manipulators.
Controlling of Mobile Robot by Using of Predictive Controller Alireza Rezaee
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1173.73 KB) | DOI: 10.11591/ijra.v6i3.pp207-215

Abstract

In this paper implementation of Model PredictiveController on mobile robot was explained. The conductedexperiments show effectiveness of the proposed method oncontrol of the mobile robot. Furthermore the effects of the modelparameters such as control horizon, prediction horizon,weighting factor and signal filter band on the controllerperformance were studied. Finally, a comparison between thedesigned MPC controller and PID and adaptive controllers waspresented demonstrating superior performance of the ModelPredictive Controllers.
Model Predictive Control of Wind-Photovoltaic Hybrid System Connected to Grid Houda Abidi; Abdelkader Mami
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1042.843 KB) | DOI: 10.11591/ijra.v6i3.pp216-226

Abstract

This work focuses on Model based Predictive Control (MPC) for photovoltaic-wind hybrid energy system connected to electrical grid. Several benefits  are offered by this method  such as robustness against a  parameter variations, minimum output current distortion and excellent reference tracking. In order to minimize the cost function or the error between the  predicted values and their references, MPC-based algorithm permit to select and apply the  optimal voltage vector. Simulation results under Psim environment show a fast dynamic behavior of hybrid system with minimal errors, accuracy and usefulness of the considered control approach.

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