IAES International Journal of Robotics and Automation (IJRA)
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
470 Documents
Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm
Majid Moazzami;
Hossein Shahinzadeh;
Gevork B. Gharehpetian;
Abolfazl Shafiei
IAES International Journal of Robotics and Automation (IJRA) Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v8i2.pp77-88
Congestion management is one of the important issues in the deregulated power systems. There are several methods to eliminate congestion. Utilizing FACTS devices is an appropriate option for large-scale and quick control of flows of transmission lines. FACTS devices such as Thyristor Controlled Series Capacitor (TCSC) can help to mitigate the transmitting flow of power in the congested lines, which leads to an increase in the network loading ability as well as reduction of both losses and production costs. Due to the considerably high price of FACTS devices, it is important to determine their optimum location on the network. Accordingly, in this paper, the Antlion optimization algorithm (ALO) has been employed to conduct a congestion management analysis to determine the optimal location for the installation of TCSC, which is simulated on an IEEE 14-bus test system subject to satisfy the constraints of the market environment.
PLC based Multi-Floor Elevator Control System
Shrey Gupta
IAES International Journal of Robotics and Automation (IJRA) Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v4i3.pp202-208
This paper presents programmable logic controller based elevator control system. Primary focus is on using programmable logic controller to build the elevator model. To control the motion of the elevator through various levels DC geared motor is used. Push buttons are used to give signal to the elevator to come to the desired floor, traversing up and down. Moreover DC relays are used as switches, not protective devices, to drive the motor in clockwise and anticlockwise direction. Ladder logic is used for the model implementation.
Model of absorbed gamma radiation in the interaction with rock formation
A. A. Azaryan;
A. N. Gritsenko;
A. A. Trachuk;
V. M. Serebrenikov;
D. V. Shvets
IAES International Journal of Robotics and Automation (IJRA) Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v8i4.pp269-276
The article discusses issues of improving the accuracy of operational quality control of iron ore in mountain ranges. There was proposed the use of the absorbed gamma radiation indicator as an improvement of the nuclear physics method for determining the iron content in ore mass are proposed. There were obtained the relationships of the sensitivity of the absorbed gamma radiation intensity on the distance between the detector and the irradiated surface, as well as on the distance between the source and the detector of gamma radiation.
A New 6 DOF Robotic Arm with Linkage Motion Mechanism and Actuators Placed in Base
Mohsen Shahhosseini;
Rambod Rastegari;
Roozbeh Abbasi
IAES International Journal of Robotics and Automation (IJRA) Vol 5, No 1: March 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v5i1.pp35-48
We examined mechanism design and kinematic simulation of a new six degrees of freedom (DOF) robotic arm with rotational joints and a linkage motion mechanism. In the design, a parallel linkage mechanism, accompanied by an additional set of bevel gears, was used to create the desired motion for all six links along with transfer of all actuators to the robot’s base to reduce the mass of most of the arms. These changes resulted in reduction of the torque required for joints 1, 2, and 3. Using this parallel mechanism ensures dependence to motion links and creates a special case for the control of the robot and more rigidity against unwanted movement. Initially, we examined mechanism design methods for a parallel linkage mechanism and considered methods for application in an operational robot. In the next step, we determined the kinematic relationships that were established between the robot’s actuators and joints spaces due to the use of this mechanism. Then, we developed an example of the robot’s function in a performance simulation. The simulation results indicated that the mechanism and controller performance were acceptable.
VOICE CONTROLLED ROBOTIC ARM
P Naik, Adwait
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v9i3.pp%p
Robotic arms are programmable mechanical manipulators with movable components which can cause relative motion between adjoining links. The aim of this project is developing a robotic arm capable of identifying the voice commands. The speech acts as an input responsible for triggering action. Apart from having diverse applications in industries, with advancement in technology and medical sciences, the robotic prosthesis is highly successful at restoring one's biological ability to perform daily chores comfortably. This approach commits to a goal to accomplish a well-built system with minimum faults. Computing coordinates to attain a Soft-home position is an essential task which is responsible for achieving the required speed, torque, and delivers optimum performance. Most challenging part in the whole procedure is to obtain high calibration for smooth working of the arm. We have employed a software-based calibration technique which is simple to implement and highly efficient.
Optimal Trajectory Planning of Industrial Robots using Geodesic
Pradip Kumar Sahu
IAES International Journal of Robotics and Automation (IJRA) Vol 5, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v5i3.pp190-198
This paper intends to propose an optimal trajectory planning technique using geodesic to achieve smooth and accurate trajectory for industrial robots. Geodesic is a distance minimizing curve between any two points on a Riemannian manifold. A Riemannian metric has been assigned to the workspace by combining its position and orientation space together in order to attain geodesic conditions for desired motion of the end-effector. Previously, trajectory has been planned by considering position and orientation separately. However, practically we cannot plan separately because the manipulator joints are interlinked. Here, trajectory is planned by combining position and orientation together. Cartesian trajectories are shown by joint trajectories in which joint variables are treated as local coordinates of position space and orientation space. Then, the obtained geodesic equations for the workspace are evaluated for initial conditions of trajectory and results are plotted. The effectiveness of the geodesic method validated through numerical computations considering a Kawasaki RS06L robot model. The simulation results confirm the accuracy, smoothness and the optimality of the end-effector motion.
A Noble Approach of Process Automation in Galvanized Nut, Bolt Manufacturing Industry
Akash Samanta;
Arindam Dutta
IAES International Journal of Robotics and Automation (IJRA) Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science
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Corrosion costs money”, The Columbus battle institute estimates that corrosion costs Americans more than $ 220 billion annually, about 4.3% of the gross natural product [1].Now a days due to increase of pollution, the rate of corrosion is also increasing day-by-day mainly in India, so, to save the steel structures, galvanizing is the best and the simplest solution. Due to this reason galvanizing industries are increasing day-by-day since mid of 1700s.Galvanizing is a controlled metallurgical combination of zinc and steel that can provide a corrosion resistance in a wide variety of environment. In fact, the galvanized metal corrosion resistance factor can be some 70 to 80 times greater that the base metal material. Keeping in mind the importance of this industry, a noble approach of process automation in galvanized nut-bolt manufacturing plant is presented here as nuts and bolts are the prime ingredient of any structure. In this paper the main objectives of any industry like survival, profit maximization, profit satisfying and sales growth are fulfilled. Furthermore the environmental aspects i.e. pollution control and energy saving are also considered in this paper. The whole automation process is done using programmable logic controller (PLC) which has number of unique advantages like being faster, reliable, requires less maintenance and reprogrammable. The whole system has been designed and tested using GE, FANUC PLC.DOI: http://dx.doi.org/10.11591/ijra.v1i2.346
Design of POD controller using linear quadratic regulator tecniques for SMIB power system stability enhancement installed with UPFC
Brijesh Kumar Dubey;
N. K. Singh
IAES International Journal of Robotics and Automation (IJRA) Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v8i3.pp164-173
In the field of the power system stability, this paper presents the current research status and developments. This paper presents a systematic approach for designing Power Oscillation Damping Controller (POD) based Linear Quadratic Regulator Techniques for SMIB power system stability installed with UPFC to damp out low frequency oscillations in a power system. The impacts of control strategy on power system single machine infinite bus installed with UPFC, without UPFC and with UPFC and POD controller at different operating conditions are discussed. The accuracy of the developed models is verified through comparing the study results with those obtained from detailed MATLAB programming.
Investigation In Two Wheels Mobile Robot Movement: Stability and Motion Paths
Abdulrahman A.A. Emhemed
IAES International Journal of Robotics and Automation (IJRA) Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijra.v2i2.pp45-49
This paper deals with the problem of dynamic modelling of inspection robot two wheels. Fuzzy controller based on robotics techniques for optimize of an inspection stability. The target is to enhancement of robot direction and avoids the obstacles. To find collision free area, distance-sensors such as ultra-sonic sensors and laser scanners or vision systems are usually employed. The distance-sensors offer only distance information between mobile robots and obstacles. Also the target are shown can be reached by different directions. The fuzzy logic controller is effect to avoid the abstacles and get ideal direction to “the target box”.
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
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DOI: 10.11591/ijra.v6i3.pp200-206
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.