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ISSN: 2667-2413

SRGAN in underwater vision

In recent years, the rapid industrialization of the world has led to an increasing importance of energy minerals. However, due to the scarcity of mineral resources, opportunities to rely on alternative...

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Research on YOLOv3 model compression strategy for UAV deployment

UAVs are often limited by limited resources when performing flight tasks, especially the contradiction between storage resources and computing resources when the huge YOLOv3 model is deployed on the...

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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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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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Robot assisted knee joint RoM exercise: A PID parallel compensator architecture through impedance estimation

•τ response by impedance estimation & inner feedback improves system performance.•Tracking error: ±0.02∘ & ±0.14∘ for hold & motion phases of exercise.•Increasing body heights and weights have significant...

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Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method

The Mobile Robot Path Problem looks to find the optimal shortest path from the starting point to the target point with collision-free for a mobile robot. This is a popular issue in robotics and in this...

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YOLOT: Multi-Scale and Diverse Tire Sidewall Text Region Detection Based on You-Only-Look-Once(YOLOv5)

•We use 2D/3D laser measurement devices to obtain the tire sidewall luminance images of different tires, with the luminance image size being 167753200, creating a tire sidewall dataset consisting of...

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Optimizing Food Sample Handling and Placement Pattern Recognition with YOLO: Advanced Techniques in Robotic Object Detection

Japan, grappling with a significant labor deficit driven by a declining birthrate and an aging population, is increasingly turning towards industrial robotics, particularly in the food manufacturing...

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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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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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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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Co-attention learning cross time and frequency domains for fault diagnosis

Rolling machinery is ubiquitous in power transmission and transformation equipment, but it suffers from severe faults during long-term running. Automatic fault diagnosis plays an important role in the...

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Lightweight YOLOv5 model based small target detection in power engineering

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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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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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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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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Adjustable Convergence Rate Prescribed Performance with Fractional-Order PID Controller for Servo Pneumatic Actuated Robot Positioning

This study presents the method for optimal error tracking in position control for a servo pneumatic actuated robot grasper system using a new adjustable convergence rate prescribed performance control...

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LP-BT: A location privacy protection algorithm based on ball trees

With the maturity of global positioning technology and the massive popularity of mobile terminals, location-based services can provide people with convenient and efficient assistance. To use such services,...

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Selection of PSO parameters based on Taguchi design-ANOVA- ANN methodology for missile gliding trajectory optimization

The proposed research deals with selection of particle swarm optimization (PSO) algorithm parameters for missile gliding trajectory optimization relying on Taguchi design of experiments, analysis of...

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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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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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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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An operational scrutinization of autonomous tractor-trailer robot considering motion resistance force of rubber tracked undercarriage

•Motion resistance force of rubber tracked undercarriage of autonomous tractor-trailer robot has emerged in this research.•As robot drawbar pull proliferated, the motion resistance force proliferated.•Effect...

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A colorization method for historical videos

The development of imaging technology has allowed people to move beyond the black-and-white era and into the age of color. However, preserved black-and-white historical footage remains a precious memory...

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Artificial intelligence based hybridization for economic power dispatch

Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws...

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