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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 8 Documents
Search results for , issue "Vol 4, No 2: June 2015" : 8 Documents clear
The Mobile Robot HILARE: Dynamic Modeling and Motion Simulation M. Ghazal; A. Talezadeh; M. Taheri; M. Nazemi-Zade
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.143 KB) | DOI: 10.11591/ijra.v4i2.pp150-155

Abstract

To perform mission in variant environment, several types of mobile robot has been developed an implemented. The mobile robot HILARE is a known wheeled mobile robot which has two fixed wheels and an off-entered orientable wheel. Due to extended application of this robot, its dynamic analysis has attracted a great deal of interests. This article investigates dynamic modeling and motion analysis of the mobile robot HILARE. As the wheels of the robot have kinematic constraints, the constraints of wheels are taken into consideration and the matrix form of the kinematic model of the robot is derived. Furthermore, dynamic model of the robot is developed by consideration of kinematic constraints. To derive dynamic equations of the robot, the Lagrange multiplier method is employed and the governing equations of the robot in state-pace form are presented. Then, some simulations are presented to show applicability of the proposed formulation for dynamic analysis of the mobile robot HILARE.
Wall-E Surveyor Robot using Wireless Networks Aatish Chandak; Arjun Aravind; Nithin Kamath
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.562 KB) | DOI: 10.11591/ijra.v4i2.pp143-149

Abstract

The methods for autonomous navigation of a robot in a real world environment is an area of interest for current researchers. Although there have been a variety of models developed, there are problems with regards to the integration of sensors for navigation in an outdoor environment like moving obstacles, sensor and component accuracy. This paper details an attempt to develop an autonomous robot prototype using only ultrasonic sensors for sensing the environment and GPS/ GSM and a digital compass for position and localization. An algorithm for the navigation based on reactive behaviour is presented. Once the robot has navigated to its final location based on remote access by the owner, it surveys the geographical region and uploads the real time images to the owner using an API that is developed for the Raspberry PI’s kernel.
Modification and Actuator Minimization of the Hip Leg Joint in a Bipedal Robot: A Proposed Design Nirmalya Tripathi
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.378 KB) | DOI: 10.11591/ijra.v4i2.pp93-97

Abstract

In recent times, there have been numeric applications of Biped Robots. In this paper, a proposed upper leg hip design of a biped was developed taking cost reduction and optimization as factors for consideration. The proposed system introduces a novel method which consists of a vibration reduction (VR) DC stepper motor, microcontroller, microprocessor and gearing arrangement. The program in the microprocessor is so designed that it gives a fixed number of cycles/steps to the VR DC stepper motor in clockwise and thereafter in anti-clockwise direction. This turning movement can then be transmitted to the gearing system which precisely moves one upper leg when the VR DC stepper motor moves in clockwise direction, while the other upper leg remains static, and vice-versa. It has been observed that this new proposed system may reduce the cost overhead, weight and the energy consumption incurred by working on a single VR DC stepper motor while conventionally two stepper motors are used to give the motion of the two upper legs in a biped.
A Safe Interaction of Robot Assisted Rehabilitation, Based on Model-Free Impedance Control with Singularity Avoidance Iman Sharifi; Ali Doustmohammadi; Heidar Ali Talebi
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (740.006 KB) | DOI: 10.11591/ijra.v4i2.pp98-108

Abstract

In this paper, a singularity-free control methodology for the safe robot-human interaction is proposed using a hybrid control technique in robotic rehabilitation applications. With the use of max-plus algebra, a hybrid controller is designed to guarantee feasible robot motion in the vicinity of the kinematic singularities or going through and staying at the singular configuration. The approach taken in this paper is based on model-free impedance control and hence does not require any information about the model except the upper bounds on the system matrix. The stability of the approach is investigated using multiple Lyapunov function theory. The proposed control algorithm is applied to PUMA 560 robot arm, a six-axis industrial robot. The results demonstrate the validity of the proposed control scheme.
Backstepping Controller for Electrically Driven Flexible Joint Manipulator Under Uncertainties Lilia Zouari; Hafedh Abid; Mohamed Abid
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.297 KB) | DOI: 10.11591/ijra.v4i2.pp156-163

Abstract

The grown complexity of the robot manipulators dynamics taking into account the jointflexibility, parameter uncertainties and unknown bounded disturbances makes conventionalcontrol strategies difficult and complex to synthesize. This paper focuses on the investiga-tion into backstepping control of flexible joint manipulator driving by Brushless DC Motor(BDCM) in the presence of parameter uncertainties and unknown bounded disturbances fortracking trajectory. The goal of this paper is to compensate all uncertainties and distur-bances for flexible joint manipulator. To study the effectiveness of the controllers, backstep-ping controller has been developed for position control and an hysteresis controller has beentreated for current control. Simulation results of the response of the flexible joint manipu-lators associated with their controllers have been presented. The high performances of thebackstepping control are examined in terms of tracking accuracy and error reduction.
Inverse Kinematic Solution of 5R Manipulator using ANN and ANFIS Panchand Jha
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1051.994 KB) | DOI: 10.11591/ijra.v4i2.pp109-123

Abstract

Inverse kinematics of manipulator comprises the computation required to find the joint angles for a given Cartesian position and orientation of the end effector. There is no unique solution for the inverse kinematics thus necessitating application of appropriate predictive models from the soft computing domain. Artificial neural network and adaptive neural fuzzy inference system techniques can be gainfully used to yield the desired results. This paper proposes structured artificial neural network (ANN) model and adaptive neural fuzzy inference system (ANFIS) to find the inverse kinematics solution of robot manipulator. The ANN model used is a multi-layered perceptron Neural Network (MLPNN). Wherein, gradient descent type of learning rules is applied. An attempt has been made to find the best ANN configuration for the problem. It is found that ANFIS gives better result and minimum error as compared to ANN.
Sampled-Data Backstepping Control of a Quadrotor Unmanned Aerial Vehicle Abdul Jabbar; Fahad Mumtaz Malik
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.142 KB) | DOI: 10.11591/ijra.v4i2.pp124-134

Abstract

Sampled-data backstepping control of a quadrotor UAV is presented in this paper. The discrete time controllers have been designed on the basis of a continuous time system model and an approximate discrete time equivalent system model (Euler Approximate model) obtained using the Euler method. The performance of the controllers obtained using the two sampled-data approaches has been compared in the presence of wing gusts and modeling uncertainties. Simulations have revealed that the backstepping controller designed on the basis of an approximate discrete time model has better performance in the presence of wind gusts and modeling uncertainties. In addition, the closed loop system has a larger region of attraction.
Trajectory Planning and Walking Pattern Generation of Humanoid Robot Motion Saeed Abdolshah; Majid Abdolshah; Sai Hong Tang
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.331 KB) | DOI: 10.11591/ijra.v4i2.pp135-142

Abstract

Walking trajectory generation for a humanoid robot is a challenging control  issue. In this paper, a walking cycle has been recognized considering human motion, and nine simple steps were distinguished in a full step of walking which form motion trajectory, and generates a simplified ZMP motion formulation. This system was used in humanoid robot simulation motion and is achievable easily in walking steps of robot. A minimum DOFs humanoid robot has been considered and geometrical relationships between the robot links were presented by the Denavit-Hartenberg method. The inverse kinematics equations have been solved regarding to extracted ZMP trajectory formula, and constraints in different steps. As a result; angular velocity, acceleration and power of motors were obtained using the relationships and Jacobin. At each step, extracted data were applied on simulated robot in Matlab, and Visual Nastran software. Zero moment point trajectory was evaluated in simulation environment.

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