Informatics

Research on road damage recognition and classification based on improved VGG-19
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Research Article
Research on road damage recognition and classification based on improved VGG-19
By Jiaqi Wang, Kaihang Wang, Kexin Li
In recent years, methods of road damage detection, recognition and classification have achieved remarkable results, but there are still problems of efficient and accurate damage detection, recognition and classification. In order to solve this problem, this paper proposes a road damage VGG-19 model construction method that can be used for road damage detection. The road damage image is processed by digital image processing technology (DIP), and then combined with the improved VGG-19 network model to study the method of improving the recognition speed and accuracy of VGG-19 road damage model. Based on the performance evaluation index of neural network model, the feasibility of the improved VGG-19 method is verified. The results show that compared with the traditional VGG-19 model, the road damage VGG-19 road damage recognition model proposed in this paper shortens the training time by 79 % and the average test time by 68 %. In the performance evaluation of the neural network model, the comprehensive performance index is improved by 2.4 % compared with the traditional VGG-19 network model. The research is helpful to improve the model performance of VGG-19 road damage identification network model and its fit to road damages.
October 6, 2023
Informatics
Most cited
Research Article
Optimization of palm methyl ester and its effect on fatty acid compositions and cetane number
By Sharath Satya, Aditya Kolakoti, Naga Raju B., Shyam Sundar R., Ranga Rao
March 31, 2019
Informatics
Most cited
Research Article
Mathematical modeling of forced oscillations of semidefinite vibro-impact system sliding along rough horizontal surface
By Vitaliy Korendiy, Volodymyr Gursky, Oleksandr Kachur, Volodymyr Gurey, Oleksandr Havrylchenko, Oleh Kotsiumbas
December 2, 2021
Informatics
Most cited
Research Article
Performance of PID-Fuzzy control for cab isolation mounts of soil compactors
By Vanliem Nguyen, Renqiang Jiao, Vanquynh Le, Anhtan Hoang
December 31, 2019
Informatics
Most cited
Research Article
Optimization and modelling of mahua oil biodiesel using RSM and genetic algorithm techniques
By Aditya Kolakoti, Panchanand Jha, Prakasa Rao Mosa, Manohar Mahapatro, Tulasi Ganesh Kotaru
June 2, 2020
Informatics

Robotic Systems and Applications

Positioning algorithm for AGV autonomous driving platform based on artificial neural networks
Research Article
Positioning algorithm for AGV autonomous driving platform based on artificial neural networks
This paper presents an artificial intelligence algorithm responsible for the autonomy of a platform. The proposed algorithm allows the platform to move from an initial position to a set one without human intervention and with understanding and response to the dynamic environment. The implementation of such a task is possible by using a combination of a camera identifying the environment with a laser LIDAR sensor and a vision system. The signals from the sensors are analysed through convolutional neural networks. Based on AI inference, the platform makes decisions, including determining the optimal path for itself. A transfer learning method will be used to teach the neural network. This article presents the results of learning the applied neural algorithm.
August 11, 2021
Biomechanics
Design of a high-payload Mecanum-wheel ground vehicle (MWGV)
Research Article
Design of a high-payload Mecanum-wheel ground vehicle (MWGV)
With the rapid developments of Industry 4.0 and Smart Manufacturing, customized manufacturing has been becoming greatly needed. Meanwhile, the challenge of production automation has become more bigger, especially for the automation of moving, picking, placing and manipulating objects. Many researchers have begun to work on Autonomous Ground Vehicles (AGVs). Most AGVs were utilized to carry middle or small objects, as the high-payload AGVs were rarely developed. This paper focused on the design of a High-Payload Mecanum-Wheel Ground Vehicle (MWGV), which was 1.7 m wide and 2.04 m long. The weight of the vehicle was 740 kg and it was able to carry the payload as its own weight (i.e. around 7,300 N). The safety factor of the structural strength was greater than 1.66 and the safety factor of the axial design was at least 6.24. The vehicle was designed to carry 150-kg weight with a reach of 1.375 m without falling. The design of Mecanum wheels provided great flexibility on movement with small rotational radius. Mathematical descriptions about how Mecanum wheels were controlled was also introduced in this paper. Furthermore, the mechatronics and software integrations were demonstrated. The final experimental results showed the developed MWGV was able to perform the desired movement properly.
June 30, 2021
Biomechanics
Designing and controlling a self-balancing platform mechanism based on 3-RCC spherical parallel manipulator
Research Article
Designing and controlling a self-balancing platform mechanism based on 3-RCC spherical parallel manipulator
Motion control platforms have various applications in the manufacturing and automation industries. Different literature provides multiple issues related to the kinematics and dynamics of self-guided robots for transportation regarding platform balancing. Self-balancing platforms are utilized in many deliveries, stabilization, and transportation systems, and they are especially well suited for outdoor activities when the ground surface is not flat or structured. This paper describes developing a control technique for a self-balancing platform using the 3-RCC spherical parallel manipulator. This mechanism was designed to support an AGV (Automated Guided Vehicle) for transporting and lifting heavy weights for industrial applications. The AGV carries a robotic arm on top for different tasks. When the AGV encounters a steep slope or a rough surface, the AGV tilts, and the robotic arm’s performance is significantly affected. So, this study gives a solution to avoid these circumstances with a novel approach for the platform’s self-balancing mechanism consisting of a 3-RCC spherical parallel manipulator. Real-time stabilization and kinematics analysis methods are used to achieve the self-balancing system of the platform. When both methods are observed through different tilting angles for automation stability, Kinematic analysis performs more efficiently with less time duration when compared with the real-time stabilization method.
March 2, 2023
Biomechanics
Applications of collaborative robots in agile manufacturing: a review
Research Article
Applications of collaborative robots in agile manufacturing: a review
Collaborative robots are machines that work hand in hand with humans; or as the name suggests, collaborate with them in a specific workspace. These robots are not enclosed in confined safety zones like traditional robots, as they interact very closely with humans. Though this is the case, appropriate measures are captivated while designing these robots considering human safety. These robots are well-versed in adapting to changes and frequent upgrades. They are flexible enough to carry out complex tasks. Due to these abilities, they become a significant asset in the manufacturing field. It’s been many years now since cobots are introduced in the industry sector. So, this is the right time to review various applications of cobots in manufacturing. First, the paper starts with a brief introduction followed by an extensive literature review which was structured after reviewing 76 research papers and articles. It ends with some essential conclusions. This paper discusses the diverse applications of cobots used in the manufacturing sector and their advantages. Further, it highlights the future of cobots and how they will be a boon for a technology-driven world.
June 26, 2023
Biomechanics
Robotic Systems and Applications

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