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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 9, No 2: June 2020" : 8 Documents clear
Designing and testing of a smart firefighting device system (LAHEEB) Yousef Samkari; Kamel Guedri; Mowffaq Oreijah; Shadi Munshi; Sufyan Azam
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.871 KB) | DOI: 10.11591/ijra.v9i2.pp143-152

Abstract

The motivation behind this project is that firefighter's death. Many firefighters are struggling to perform their duty which causes much death while on a mission and the circumstances related to each incident. Firefighters are our heroes and our sense of security in times of trouble. They put themselves on dangerous situations to protect us. At present, the world is moving toward the use of technologies software and hardware. This paper proposed a smart firefighting device system (LAHEEB) which designed to detect the source of fire, extinguish it, and increase the knowledge about fire behavior from incident area. This device can extinguish different types of fire A, B, C, D, F/K, electric and metal fire without spreading in the shortest time. This device will reduce the risk of injury for firefighters and possible victims and decrease the monetary losses which increase considerably as fire duration increases. LAHEEB device is consists of two parts. The first part is called the mid-cap which presented the body of the device that has most of the components such as sensors, relays, battery, servo motor, liquid tank, push-button, and Arduino. The second part is called the bottom-cap which presented the moving part of the device that has the significant components of LAHEEB such as servo motor, sprayer, and thermal camera. It also makes use of liquid-tank and spray mechanism for extinguishing the fire. The spraying nozzle is mounted on a servo motor to cover maximum area. Liquid-extinguisher is pumped from the main tank to the nose with the help of a pump. The whole system is programmed using an Arduino DUE board which forms the brain of the system.
Inverse kinematic analysis of 3 DOF 3-PRS PM for machining on inclined prismatic surfaces Hishantkumar Rashmikantbhai Patel; Yashavant Patel
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.57 KB) | DOI: 10.11591/ijra.v9i2.pp135-142

Abstract

Parallel Manipulators (PMs) are family members of modern manipulators based on the closed loop structural architecture. 3-PRS (prismatic, revolute, spherical) manipulator with 3DOF is investigated for its machining capability on prismatic surfaces as it possesses greater structural stiffness, higher pay load caring capacity, more precision compare to serial manipulators as well as less accumulation of errors at joints within a constrained workspace. The said manipulator can be utilized in various fields of application such as precise manufacturing, medical surgery, space technology and many more. In this paper, the primary focus on usage of parallel manipulator in industrial applications such as drilling and grooving on inclined work part surface. Inverse kinematic solutions are used for drilling, square and round profiles on inclined surface using parallel manipulator.
General concepts of multi-sensor data-fusion based SLAM Jan Klečka; Karel Horák; Ondřej Boštík
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.912 KB) | DOI: 10.11591/ijra.v9i2.pp63-72

Abstract

This paper is approaching a problem of Simultaneous Localization and Mapping (SLAM) algorithms focused specifically on processing of data from a heterogeneous set of sensors concurrently. Sensors are considered to be different in a sense of measured physical quantity and so the problem of effective data-fusion is discussed. A special extension of the standard probabilistic approach to SLAM algorithms is presented. This extension is composed of two parts. Firstly is presented general perspective multiple-sensors based SLAM and then thee archetypical special cases are discuses. One archetype provisionally designated as "partially collective mapping" has been analyzed also in a practical perspective because it implies a promising options for implicit map-level data-fusion.
Fuzzy logic controller design for PUMA 560 robot manipulator Abdel-Azim S. Abdel-Salam; Ibrahim N. Jleta
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (855.279 KB) | DOI: 10.11591/ijra.v9i2.pp73-83

Abstract

The dynamic model of the robot manipulator contain from equations, these equations are nonlinear and contained from variations parameters due to variations in load, friction, and disturbance. The conventional computed torque (PD and PID) controllers are not highly suitable for nonlinear, complex, time-variant systems with delay. In this paper, the fuzzy logic controllers (FLC) has been used because it is efficient tools for control of nonlinear and uncertain parameters systems. This paper aims to design a fuzzy logic controller for position control of a PUMA 560 robot manipulator. Based on simulation results we conclude that the performance of the fuzzy logic controller in term of position tracking error in case of disturbance or load is better than the conventional computed torque (PD-CTC and PID-CTC) controllers.
Robots for search site monitoring, suspect guarding, and evidence identification Yi-Chang Wu; Jih-Wei Lee; Huan-Chun Wang
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.998 KB) | DOI: 10.11591/ijra.v9i2.pp84-93

Abstract

As an initial trial and in response to a lack of technological applications in government agencies, we have developed three multifunctional robots in accordance with the work environment and the nature of our tasks. Search site monitoring robot is fitted with a panoramic camera and large wheels for walk-around search site monitoring. Suspect guarding robot follows and guards a suspect by tracking an augmented reality marker worn by the suspect and identifying the human body through an infrared thermal camera. For the evidence identification robot, You Only Look Once (YOLO) is utilized to identify some specific evidence on search site and is equipped with a carrier and a high-torque motor for evidence transportation; it is set to issue warnings and emails to relevant personnel on specific emergencies. We have performed multiple experiments and tests to confirm the robots’ effectiveness, verifying their applicability of technological task support in government agencies.
Particle swarm optimization algorithms with selective differential evolution for AUV path planning Hui Sheng Lim; Shuangshuang Fan; Christopher K.H. Chin; Shuhong Chai; Neil Bose
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1336.369 KB) | DOI: 10.11591/ijra.v9i2.pp94-112

Abstract

Particle swarm optimization (PSO)-based algorithms are suitable for path planning of the Autonomous Underwater Vehicle (AUV) due to their high computational efficiency. However, such algorithms may produce sub-optimal paths or require higher computational load to produce an optimal path. This paper proposed a new approach that improves the ability of PSO-based algorithms to search for the optimal path while maintaining a low computational requirement. By hybridizing with differential evolution (DE), the proposed algorithms carry out the DE operator selectively to improve the search ability. The algorithms were applied in an offline AUV path planner to generate a near-optimal path that safely guides the AUV through an environment with a priori known obstacles and time-invariant non-uniform currents. The algorithm performances were benchmarked against other algorithms in an offline path planner because if the proposed algorithms can provide better computational efficiency to demonstrate the minimum capability of a path planner, then they will outperform the tested algorithms in a realistic scenario. Through Monte Carlo simulations and Kruskal-Wallis test, SDEAPSO (selective DE-hybridized PSO with adaptive factor) and SDEQPSO (selective DE-hybridized Quantum-behaved PSO) were found to be capable of generating feasible AUV path with higher efficiency than other algorithms tested, as indicated by their lower computational requirement and excellent path quality.
Dynamics of trunk type robot with spherical piezoelectric actuators Aistis Augustaitis; Vytautas Jurėnas
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3.114 KB) | DOI: 10.11591/ijra.v9i2.pp113-122

Abstract

Trunk type robots (TTRs) are exclusive. These robots can provide a high level of maneuverability and have a potential in medicine or high risk zones. TTRs are determined as a long serial linkage of similar segments. They are usually connected using tendons or small actuators. A spherical actuator is the most appreciable option. The motion of real spherical actuator (RSA) can be easily obtained applying an inverse piezoelectric effect. It has three independent spinning axes. These axes are perpendicular to each other despite the history of excitation. Kinematics and dynamics of RSA almost have no basics regardless of mentioned features. This situation can be explained according to common disadvantages of other SAs: sophisticated structure and complex control. The structures and abilities of TTRs are reviewed in the first section of this article. At the beginning of the fourth section the kinematics of piezoelectric TTR with two different RSAs is introduced. Its results of inverse dynamics using Euler-Lagrange equations are presented at the end of the fourth section. Similar results are derived using an analytical-potential method in the fifth section. It is quite accurate and effective option to determine inverse dynamics of the TTR employing an analytical-potential method.
Control system design of duct cleaning robot capable of overcoming L and T-shaped ducts Myeong In Seo; Woo Jin Jang; Junhwan Ha; Kyongtae Park; Dong Hwan Kim
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (980.622 KB) | DOI: 10.11591/ijra.v9i2.pp123-134

Abstract

This study introduces the control method of duct cleaning robot that enables real-time position tracking and self-driving over L-shaped and T-shaped duct sections. The developed robot has three legs and is designed to flexibly respond to duct sizes. The position of the robot inside the duct is identified using the UWB communication module and the location estimation algorithm. Although UWB communication has relatively large distance error within the metal, the positional error was reduced by introducing appropriate filters to estimate the robot position accurately. TCP/IP communication allows commands to be sent between the PC and the robot and to receive live images of the camera attached to the robot. Using Haar-like and classifiers, the robot can recognize the type of duct that is difficult to overcome, such as L-shaped and T-shaped duct, and it moves successfully inside the duct according to the corresponding moving algorithms.

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