Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced...
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Substantial capabilities of robotics in enhancing industry 4.0 implementation
2021
There is the increased application of new technologies in manufacturing, service, and communications. Industry 4.0 is the new fourth industrial revolution, which supports organisational efficiency....
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Generative artificial intelligence in the metaverse era
2023
Generative artificial intelligence (AI) is a form of AI that can autonomously generate new content, such as text, images, audio, and video. Generative AI provides innovative approaches for content production...
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Digital Twin applications toward Industry 4.0: A Review
2023
Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While Digital Twin can represent digital objects, they are often used to connect the physical and...
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Unmanned aerial vehicles: A review
2023
The lightweight Unmanned Aerial Vehicle (UAV) flight activities are constrained, particularly in the UAV range or activity span and perseverance, by the strategic correspondence link capabilities. This...
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Survey of emotion recognition methods using EEG information
2022
Emotion is an indispensable part of human emotion, which affects human normal physiological activities and daily life decisions. Human emotion recognition is a critical technology in artificial intelligence,...
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Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators
2023
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Significant applications of Cobots in the field of manufacturing
2022
The term "collaborative robot" is commonly known as Cobot, which refers to a partnership between a robot and a human. Aside from providing physical contact between a robot and a person on the same production...
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Optimization of energy consumption in industrial robots, a review
2023
Optimization of energy consumption in industrial robots can reduce operating costs, improve performance and increase the lifespan of the robot during part manufacturing. Choosing energy-efficient components...
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Review on lane detection and related methods
2023
Road detection remains a captivating and crucial aspect of any form of autonomous driving. In this manuscript, we furnish a comprehensive appraisal of recent advancements in road lane detection, a fundamental...
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An improved single short detection method for smart vision-based water garbage cleaning robot
2024
These days, plastic trash is exponentially overwhelming our waterways. The catastrophe has attracted global attention at this point. As a result, protecting the environment on the water's surface has...
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Review of the emotional feature extraction and classification using EEG signals
2021
As a subjectively psychological and physiological response to external stimuli, emotion is ubiquitous in our daily life. With the continuous development of the artificial intelligence and brain science,...
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A review of electroencephalogram signal processing methods for brain-controlled robots
2021
Brain-computer interface (BCI) based on electroencephalogram (EEG) signals can provide a way for human to communicate with the outside world. This approach is independent of the body's peripheral nerves...
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Eye fatigue estimation using blink detection based on Eye Aspect Ratio Mapping(EARM)
2022
With the advent of the information society, the eyes' health is threatened all over the world. Rules and systems have been proposed to avoid these problems, but most users do not use them due to the...
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Intelligent health management based on analysis of big data collected by wearable smart watch
2023
Some problems still exist in health management and application such as insufficient data, limited technology, and lack of professional evaluation methods by physicians with medical theory. In this study,...
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Rakshak: A modular unmanned ground vehicle for surveillance and logistics operations
2023
Over the past decade, the utilization of mobile robots in commercial and defense industries has rapidly increased. These robots are purpose-built to perform specific tasks and have proven to be particularly...
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A pneumatic conveyor robot for color detection and sorting
2022
Despite numerous research works on conveyor robots, few works can be found on electropneumatic conveyor belt robots with two separated lines. The unique feature of this study is a combination of various...
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Research on plant disease identification based on CNN
2022
Traditional digital image processing methods extract disease features manually, which have low efficiency and low recognition accuracy. To solve this problem, In this paper, we propose a convolutional...
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Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network
2024
•Innovative approach: Hilbert curves for efficient data conversion in speech emotion recognition.•Efficient feature extraction: Hilbert curves, neural networks, and reduced costs for deep learning.•Cost...
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A survey on robots controlled by motor imagery brain-computer interfaces
2021
A brain-computer interface (BCI) can provide a communication approach conveying brain information to the outside. Especially, the BCIs based on motor imagery play the important role for the brain-controlled...
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Safe reinforcement learning for high-speed autonomous racing
2023
The conventional application of deep reinforcement learning (DRL) to autonomous racing requires the agent to crash during training, thus limiting training to simulation environments. Further, many DRL...
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A survey of quantum computing hybrid applications with brain-computer interface
2022
In recent years, researchers have paid more attention to the hybrid applications of quantum computing and brain-computer interfaces. With the development of neural technology and artificial intelligence,...
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A Survey Of zero shot detection: Methods and applications
2021
Zero shot learning (ZSL) is aim to identify objects whose label is unavailable during training. This learning paradigm makes classifier has the ability to distinguish unseen class. The traditional ZSL...
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Lightweight YOLOv5 model based small target detection in power engineering
2023
Deep learning architectures have yielded a significant leap in target detection performance. However, the high cost of deep learning impedes real-world applications, especially for UAV and UGV platforms....
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Overview of robotic grasp detection from 2D to 3D
2022
With the wide application of robots in life and production, robotic grasping is also experiencing continuous development. However, in practical application, some external environmental factors and the...
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