Hybrid metaheuristic approach for robot path planning in dynamic environment

Amar, Lina Basem; Jasim, Wesam M.

doi:10.11591/eei.v10i4.2836

Cited by 10 publications

(8 citation statements)

References 24 publications

(26 reference statements)

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“…Lina Bassem Amar and Wesam M. Jasim [62] suggested a hybrid technique for identifying the best path of a PSO/ACO hybrid robot. These were utilized to successfully carry out path planning operations.…”

Section: Hybrid Methodsmentioning

confidence: 99%

A review: On bio-inspired optimization methods for path planning of mobile robot

Hason

Al-Darraji

2023

IJICI

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In recent years, researchers have paid attention to algorithms inspired by nature where these algorithms have proven their efficiency in solving many optimization problems, especially in complex situations, due to their high precision, speed of optimization, simplicity of the techniques, and efficiency in agent cooperation. The primary issue in the field of autonomous mobile robots is navigation. An autonomous robot's navigation ability is one of its most crucial and distinctive features. There are four components of the autonomous robot navigation issue: vision, localization, cognition, and path planning. Many academics have used bio-inspired methods to solve navigation difficulties in mobile robots in recent years, including path planning where they considered the path planning problem as an optimization problem. Many novel path-planning methods have been created, and those using bio-inspired algorithms have received much attention. These algorithms have been shown to be useful in solving complex problems where the solution space isn't always adequately characterized and the problem necessitates solving complex mathematical models of live processes. More intricate optimization methods that transcend the constraints of classical procedures must be applied as the complexities of the optimization problem increase. This work contributes to presenting a group of algorithms inspired by nature that has been used to solve the problem of planning the path of mobile robots, and then making a comparison between these algorithms based on three factors (cost, time, and path length). Choosing an appropriate path-planning method contributes to ensuring safe and efficacious navigation from one point to another.

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Section: Hybrid Methodsmentioning

confidence: 99%

A review: On bio-inspired optimization methods for path planning of mobile robot

Hason

Al-Darraji

2023

IJICI

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“…The reproduction procedure seeks to increase the candidate solutions quality. The replication procedure is dependent on the meta-heuristic algorithm utilized in the fuzzy modelling process [29], [88], [180].…”

Section: Fuzzy Meta-heuristic Algorithmsmentioning

confidence: 99%

Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness’ severity classification

Aseri

Ismail

Fakharudin

et al. 2022

IJ-AI

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The world health organization (WHO) proclaimed the COVID-19, commonly known as the coronavirus disease 2019, was a pandemic in March 2020. When people are in close proximity to one another, the virus spreads mostly through the air. It causes some symptoms in the affected person. COVID-19 symptoms are quite variable, ranging from none to severe sickness. As a result, the fuzzy method is seen favourably as a tool for determining the severity of a person’s COVID-19 sickness. However, when applied to a large situation, manually generating a fuzzy parameter is challenging. This could be because of the identification of a large number of fuzzy parameters. A mechanism, such as an automatic procedure, is consequently required to identify the right fuzzy parameters. The metaheuristic algorithm is regarded as a viable strategy. Five meta-heuristic algorithms were analyzed and utilized in this article to classify the severity of COVID-19 sickness data. The performance of the five meta-heuristic algorithms was evaluated using the COVID-19 symptoms dataset. The COVID-19 symptom dataset was created in accordance with WHO and the Indian ministry of health and family welfare criteria. The findings provide the average classification accuracy for each approach.

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“…The results of the experiment are shown in Table 1, indicating the average value of the bending moment of the robot arm. After statistical analysis according to the classical technique [30]- [34], a regression model of the dependence of the bending moment on factors in coded variables was obtained: 𝑦 = 2,97 + 0,53𝑥 + 0,66𝑥 + 0,29𝑥 The function (9) obtained as a result of the experiment shows thatthe diameter parameter "d" (coded designation x2) is dominant for the increase in torque, and vice versa, the eccentricity parameter "e" (coded designation x3) has the least effect on the bending torque of the robot arm. Thus, in contrast to the abovementioned in the Introduction section of analog solutions to problems, the data indicate the direction of effective control of the torque of the arm of the robot in different planes of the coordinate system.…”

Section: Experimental Studies Of the Process Of Bending The Arm Of The Robotmentioning

confidence: 99%

Design and modeling industrial intelligent robot flexible hand

et al. 2022

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The article describes a description of a fundamentally new design, mathematical model and experimental research of a flexible arm with an anthropomorphic gripper for an industrial robot. The advantage of the proposed design of the robot arm in comparison with the known traditional technical solutions is achieved as close as possible to the functions of the human arm. This property significantly increases the versatility of the robot arm when performing various technological operations. Another difference from the known models of industrial robots is the presence of an anthropomorphic gripping device in the flexible arm, which allows you to service products with different shapes and arbitrary coordinates in space. In addition, the article for the first time proposes a method for calculating the parameters of a new hand and experimental studies of its functioning, which will allow engineers in the field of robotics to create similar designs. The economic effect of the proposed design is that the implementation of the movements of the proposed robot arm does not require separate electromechanical drives for each joint of the kinematic chain of the manipulator. This effect significantly reduces the cost of a robot arm while expanding its technological capabilities.

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Hybrid metaheuristic approach for robot path planning in dynamic environment

Cited by 10 publications

References 24 publications

A review: On bio-inspired optimization methods for path planning of mobile robot

A review: On bio-inspired optimization methods for path planning of mobile robot

Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness’ severity classification

Design and modeling industrial intelligent robot flexible hand

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