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ISSN: 2667-2413

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

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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Generative artificial intelligence in the metaverse era

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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Substantial capabilities of robotics in enhancing industry 4.0 implementation

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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Digital Twin applications toward Industry 4.0: A Review

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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Significant applications of Cobots in the field of manufacturing

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

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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Unmanned aerial vehicles: A review

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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Unmanned aerial vehicles advances in object detection and communication security review

Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent years, with a wide range of applications in areas such as surveying, delivery, and security. UAV technology plays an important...

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Review on lane detection and related methods

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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Survey of emotion recognition methods using EEG information

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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An improved single short detection method for smart vision-based water garbage cleaning robot

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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Emerging trends in human upper extremity rehabilitation robot

Stroke is a leading cause of neurological disorders that result in physical disability, particularly among the elderly. Neurorehabilitation plays a crucial role in helping stroke patients recover from...

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Review of the emotional feature extraction and classification using EEG signals

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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Eye fatigue estimation using blink detection based on Eye Aspect Ratio Mapping(EARM)

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

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

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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Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration

Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. The Deep Deterministic...

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Overview of robotic grasp detection from 2D to 3D

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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Research on plant disease identification based on CNN

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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Safe reinforcement learning for high-speed autonomous racing

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 pneumatic conveyor robot for color detection and sorting

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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Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network

•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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POMDP-based probabilistic decision making for path planning in wheeled mobile robot

Path Planning in a collaborative mobile robot system has been a research topic for many years. Uncertainty in robot states, actions, and environmental conditions makes finding the optimum path for navigation...

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Scalable and cohesive swarm control based on reinforcement learning

Unmanned vehicles have seen a significant increase in a wide variety of fields such as for logistics, agriculture and other commercial applications. Controlling swarms of unmanned vehicles is a challenging...

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