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Your search keyword '"Nor, Norzalilah Mohamad"' showing total 13 results
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13 results on '"Nor, Norzalilah Mohamad"'

3. Digital Twin Concept and its Applications: A Review.

Author

Ji Tao and Nor, Norzalilah Mohamad

Subjects
*DIGITAL twins, *DIGITAL communications, *HUMAN-computer interaction, *CYBER physical systems, *COST control
Abstract

This article reviews the development of digital twin and summarizes the evolution of the concept of digital twin. The key words and abstracts of 1187 relevant papers in recent 5 years are quantitatively analyzed, and 13 key nodes are obtained. Then it analyzes the content of 9 systematic review articles and summarizes 15 core contents. Then select 115 application examples from the articles. Through the above three steps, nine descriptive general characteristics of digital twin system are summarized: Entity object; Virtual object; Twinning degree; Communication; Data; Functionality; Human-computer interaction; systematicness; and Cost control. This paper will explain these features in detail and summarize the application examples of classifying each feature. This paper aims to summarize the development of digital twin in recent years and propose a description method of system characteristics according to the application scenario of digital twin and the increasingly complex situation of the system. [ABSTRACT FROM AUTHOR]

Published
2024
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4. Application of human-machine interaction in digital twin system of industrial robot.

Author

Tao, Ji, Nor, Norzalilah Mohamad, and Yiting, Feng

Subjects
*DIGITAL twins, *INDUSTRIALISM, *INDUSTRIAL robots, *HUMAN-machine relationship, *MANUFACTURING processes, *INDUSTRY 4.0
Abstract

In the era of Industry 4.0, human resources are an indispensable part of the production process, so the human-machine relationship in intelligent production is a very important theme. Based on the classical theory of digital twin and ergonomics, this paper discusses the expansion and internal relationship of ergonomics theory under the digital twin system and puts forward a concept of human-machine interaction under the digital twin system(HMDT). According to the concept of HMDT, a universal digital twin system framework with the controller as the core is established and its parts are introduced. Finally, this paper tries to apply the digital twin system to industrial robots. The purpose of this paper is to discuss the human-machine interaction relationship in intelligent production and expect to propose a practical application to provide a reference for related research. [ABSTRACT FROM AUTHOR]

Published
2023
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6. An improved dynamic window approach algorithm for dynamic obstacle avoidance in mobile robot formation

Author

Cao, Yanjie and Nor, Norzalilah Mohamad

Abstract

Dynamic Window Approach (DWA) algorithm is a commonly used choice in dynamic obstacle avoidance. However, the traditional DWA algorithm evaluation function is poorly adapted to dynamic obstacle avoidance and has defects in efficiency and safety. In this paper, we consider the speed and heading of the mobile robot formation and the speed and heading of the obstacles and design the speed-varying obstacle avoidance and safety distance evaluation coefficients. The objective is to design an improved DWA algorithm to improve the obstacle avoidance ability of mobile robot formations when encountering dynamic obstacle interference. First, the obstacle environment in which the mobile robot formation is located is analyzed to determine the obstacles that threaten the formation and those that are not. Second, the obstacle velocity space is evaluated and analyzed using the velocity change evaluation coefficient so that the robot formation’s obstacle avoidance behavior after the combination of angular and linear travel velocities has high robustness in the face of dynamic obstacle interference. Finally, the evaluation coefficient of safe obstacle avoidance distance is designed to accurately judge the positional relationship between the robot formation and dynamic obstacles at the moment of obstacle avoidance, which maximizes the safety of the robot formation traveling. The experimental results show that the improved algorithm shortens the obstacle avoidance time by 19.6% and saves 13% of the distance traveled than the traditional algorithm. It also achieves good results in terms of robustness and safety.

Published
2024
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