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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...

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...

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...

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...

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....

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...

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...

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...

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...

Self-adaptive control of a two-point contact gripper for the precise handling of compliant objects in industrial robotics

This paper presents a novel adaptive control framework for robotic grippers that handles a wide range of compliant objects by mimicking human grasping behaviour. The proposed system integrates three...

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...

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...

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...

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,...

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...

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...

A survey of quantum computing hybrid applications with brain-computer interface

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,...

Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance

This research explores underwater robot applications in marine cable inspection and maintenance with solutions to accuracy, reliability, and efficiency challenges. Current methods using human divers...

DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection

This paper presents DSR-YOLO, a pedestrian detection network that addresses critical challenges, such as scale variations and complex backgrounds. Built on the lightweight YOLOv8n architecture, it incorporates...

DualSpinNet: A crop yield prediction model based on LSTM and GRU

Accurate prediction of crop yield is of great significance for agricultural production and food security. In this paper, we introduce DualSpinNet, a novel model that integrates long short-term memory...

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...

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...

FB-YOLOv8s: A fire detection algorithm based on YOLOv8s

The significance of fire detection lies in protecting public safety and safeguarding the lives and property of people. However, there exist some problems in traditional detection algorithms of fire,...

A survey on robots controlled by motor imagery brain-computer interfaces

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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