The proliferation of Unmanned Aerial Vehicles (UAVs) in Flying Ad-Hoc Networks (FANETs) has brought about significant advancements in applications such as surveillance, search and rescue, and environmental monitoring. However, the unique characteristics of UAV networks, including high mobility, limited energy resources, and the need for low-latency communication, pose substantial challenges for efficient and reliable communication. As a result, the design of routing protocols that can effectively manage energy consumption and reduce transmission delays has become a critical area of research. In FANETs, energy efficiency and delay minimization are two key concerns that directly affect the per... More >

Calculating surface area is quite common in daily life; however, due to the irregular shapes of objects, traditional feature point data collection methods are not suitable for complex surfaces. Therefore, this study employs 3D laser scanning technology, using the Ligrip H120 handheld rotating laser scanner for data collection of the artificial stone. Based on four algorithms, we performed 3D reconstruction of the obtained point cloud data. Subsequently, we developed a program for surface area calculation using the Python interface of CloudCompare software and the Open3D library. The results indicate that the surface area measured with this technology has an accuracy improvement of 1.03 perce... More >

With the rapid development of e-commerce, consumers encounter more and more frequent customer service problems in the shopping process, especially during peak periods, the burden of manual customer service is heavy, and it is difficult to provide timely and effective service. In addition, enterprises are faced with high labor costs and low service efficiency. However, existing customer service systems are still deficient in user experience and intelligence level. In order to solve these problems, I designed a mall system and integrated Google's Dialogflow robot service in it, which realizes intelligent customer service functions through natural language processing technology to help users ge... More >

This study introduces a novel two-stage approach for robotic grasp detection, addressing the challenges faced by end-to-end deep learning methodologies, particularly those based on convolutional neural networks (CNNs) that require extensive and often impractical datasets. Our method first leverages a particle swarm optimizer (PSO) as a candidate estimator, followed by CNN-based verification to identify the most probable grasp points. This approach represents a significant advancement in the field, achieving an impressive accuracy of 92.8% on the Cornell Grasp Dataset. This positions it among the leading methods while maintaining real-time operational capability. Furthermore, with minor modif... More >

This paper explores the effectiveness of Model Predictive Control (MPC) for trajectory tracking in autonomous deep-sea tracked mining vehicles operating within polymetallic nodule mining environments, considering model uncertainties and external disturbances. Traditional applications of MPC in autonomous vehicle trajectory tracking, which typically rely on kinematic models under minimal external disturbance, often fail when faced with model inaccuracies and external disruptions. To address these challenges, we propose an MPC-based trajectory tracking algorithm that includes a speed correction controller for the drive wheel. This controller, developed through experimental data fitting, aims t... More >

This paper provides a comprehensive review of the application of computer simulation in analyzing the performance of gas turbine engines. It introduces a novel three-tiered approach to simulate jet engine performance, enhancing understanding and optimization of design parameters. Utilizing a specialized computer simulation program, the study investigates the thermodynamic cycle at the design point and assesses performance at off-design points. Results underscore the pivotal role of computer simulation techniques in refining the design and efficiency of turbofan engines, offering significant insights into the development of more advanced gas turbine systems. More >

This study explores the global advancements in Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM), focusing particularly on their application in the development of aero engines. It outlines the objectives, implementation stages, and anticipated computer system configurations for integrating CAD/CAM technologies within China's aero engine sector. By examining the current state of these technologies in China, the paper offers a customized approach that addresses both the goals and practicalities of adopting advanced CAD/CAM systems. This paper provides valuable insights into improving precision and efficiency in aero engine design and manufacturing processes in China. More >

Driver fatigue is a significant contributor to road accidents worldwide. Timely detection and alert systems for driver fatigue can substantially enhance driving safety and reduce traffic-related casualties. This article presents a comprehensive review of the recent advancements in driver fatigue detection technologies. It categorizes and evaluates detection methods based on physiological signals, behavioral characteristics, vehicle dynamics, and information fusion techniques. Additionally, it scrutinizes the prevalent datasets and methodologies employed in fatigue detection, offering valuable insights for future research directions. Our analysis emphasizes the importance of integrating multi... More >

Welcome to the inaugural issue of Transactions on Intelligent Unmanned Systems. This journal is dedicated to publishing high-quality, cutting-edge research in the rapidly evolving field of intelligent unmanned systems. Our mission is to provide a platform that brings together researchers, engineers, and practitioners from academia, industry, and government to share their innovative work and ideas. We are committed to fostering a collaborative and inclusive environment that drives advancements in unmanned technology and its applications across various domains. More >