cover
Contact Name
Tae Jin Park
Contact Email
iaes.ijra@gmail.com
Phone
-
Journal Mail Official
iaes.ijra@gmail.com
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
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 3, No 2: June 2014" : 7 Documents clear
Rolling Path Plan of Mobile Robot Based on Automatic Diffluent Ant Algorithm Zhou Feng
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (246.489 KB) | DOI: 10.11591/ijra.v3i2.pp112-117

Abstract

This paper proposes a new rolling algorithm for path plan of mobile robot based on automatically shunt the ant algorithm.The goal node is mapped to the node nearby the boundary in the eyeshot of the robot, and make out the best partial path, which the robot goes ahead for a step. The algorithm will iterate one time when the robot arrives at the goal node. The robot will reach the destination along the optimal path. Simulation experiments illustrate that the algorithm can be used to plan the optimal path for mobile robot even in the complex and unknown static environment.
A Novel Path Planning for Robots Based on Rapidly-Exploring Random Tree and Particle Swarm Optimizer Algorithm Zhou Feng
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (165.828 KB) | DOI: 10.11591/ijra.v3i2.pp107-111

Abstract

A based on Rapidly-exploring Random Tree(RRT) and Particle Swarm Optimizer (PSO) for path planning of the robot is proposed.First the grid method is built to describe the working space of the mobile robot,then the Rapidly-exploring Random Tree algorithm is used to obtain the global navigation path,and the Particle Swarm Optimizer algorithm is adopted to get the better path.Computer experiment results demonstrate that this novel algorithm can plan an optimal path rapidly in a cluttered environment.The successful obstacle avoidance is achieved,and the model is robust and performs reliably.
Design of Piano -playing Robotic Hand Lin Jen-Chang; Hsin-Cheng Li; Kuo-Cheng Huang; Shu-Wei Lin
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.511 KB) | DOI: 10.11591/ijra.v3i2.pp118-130

Abstract

Unlike the market slowdown of industrial robots, service & entertainment robots have been highly regarded by most robotics reseach and market research agencies. In this study we developed a music playing robot (which can also work as a service robot) for public performance. The research is mainly focused on the mechanical and electrical control of piano-playing robot, the exploration of correlations among music theory, rhythm and piano keys, and eventually the research on playing skill of keyboard instrument. The piano-playing robot is capable of control linear motor, servo-motor and pneumatic devices in accordance with the notes and rhythm in order to drive the mechanical structure to proper positions for pressing the keys and generating music. The devices used for this robot are mainly crucial components produced by HIWIN Technology Corp. The design of robotic hand is based on the direction of anthropomorphic hand such that five fingers will be used for playing piano. The finger actuations include actions of finger rotation, finger pressing, and finger lifting; time required for these 3 stages must meet the requirement of rhythm. The purpose of entertainment robot can be achieved by playing electric piano with robotic hand, and we hope this research can contribute to the development of domestic entertainment music playing robots.
Multisensor Data Fusion and Integration for Mobile Robots: A Review KS Nagla; Moin Uddin; Dilbag Singh
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (115.519 KB) | DOI: 10.11591/ijra.v3i2.pp131-138

Abstract

One of the most important and useful feature of autonomous mobile robots is their ability to adopt themselves to operate in unstructured environment. Today robots are performing autonomously in industrial floor, office environments, as well as in crowded public places where the robots need to maintain their localization and mapping parameters.The basic requirement of an intelligent mobile robot is to develop and maintain localization and mapping parameters to complete the complex missions. In such situations, several difficulties arise in due to the inaccuracies and uncertainties in sensor measurements. Various techniques are there to handle such noises where the multisensor data fusion is not the exceptional one.From the last two decades, multisensor data fusions in mobile robots become a dominant paradigm  due to its potential advantages like reduction in uncertainty, increase in accuracy and reliability and reduction of cost.This paper presents the reviews of autonomous mobile robots and role of multisenosr data fusion.
Actual Flight Movements of Electric Helicopters for Making a Disaster Area Monitoring System Takuya Saito; Kenichi Mase
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (441.051 KB) | DOI: 10.11591/ijra.v3i2.pp75-83

Abstract

This paper describes the actual flight movements of electric helicopters and how to implement a disaster area monitoring system using electric ground vehicles and electric helicopters. A quad-rotor helicopter and a hex-rotor helicopter were used in the proposed system, specifically, the AR.Drone 2.0 and the DJI Innovations frame kit with an auto pilot system, respectively. We developed a software framework for the AR.Drone 2.0, which makes it possible to obtain flight data and images and to control automatic flight operations by computer. The relationship between the flight parameters and the real flight movements of the AR.Drone 2.0 were experimentally investigated. In conclusion, we found that the AR.Drone 2.0 with a software framework and a developed hex-rotor helicopter are sufficiently effective in implementing a disaster area monitoring system using electric ground vehicles and electric helicopters.
Optimizing Hexapod Robot Reconfiguration using Hexa-Quad Transformation Addie Irawan; Tan Yee Yin
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (836.688 KB) | DOI: 10.11591/ijra.v3i2.pp139-150

Abstract

This paper presents a leg reconfigurable technique to optimize the hexapod robot reconfiguration flexiblity. A hexapod-to-quadruped (Hexa-Quad) transformation technique is proposed to optimize hexapod legs on certain situation that need some legs to be disabled as a leg to do other tasks and operations. This proposed method used the factor of center of body (CoB) stability in the support polygon and its body shape. The reinitialized leg’s shoulder method is proposed to ensure the support polygon is balanced and confirmed the CoM nearly or at the center. This method is modeled and simulated in a real-time based model of hexapod robot with 4-DOF/leg control architecture. The model is verified in numerical model and presented using separated 3D simulators.
Distributed Receding Horizon Coverage Control by Multiple Mobile Robots Fatemeh Mohseni; Ali Doustmohammadi; Mohammad Bagher Menhaj
IAES International Journal of Robotics and Automation (IJRA) Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.376 KB) | DOI: 10.11591/ijra.v3i2.pp84-106

Abstract

This paper presents a distributed receding horizon coverage control algorithm to control a group of mobile robots having linear dynamics with the assumption that the robot dynamics are decoupled from each other. The objective of the coverage algorithm considered here is to maximize the detection of the occurrence of the events. First the authors introduce a centralized receding horizon coverage control and then they introduce a distributed version of it. To avoid the common disadvantages that are associated with the centralized approach, the problem is then decomposed into several RHCC problems, each associated with a particular robot, that are solved using distributed techniques. In order to solve each RHCC, each robot needs to know the trajectories of its neighbors during the optimization time interval. Since this information is not available, an algorithm is presented to estimate the trajectory of the neighboring robots. To minimize the estimation error, a compatibility constraint, which is also a key requirement in the closed-loop stability analysis, is considered. Moreover, the proof of the close-loop stability of this distributed version is provided and shows that the location of the robots will indeed converge to the centroids of a Voronoi partition. Simulation results validate the algorithm and the convergence of the robots to the centroidal Voronoi configuration.

Page 1 of 1 | Total Record : 7