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IET Cyber-systems and Robotics
Scopus
ISSN 2631-6315 · Wiley · 179 artikel di indeks
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Artikel Jurnal
Flocking Navigation and Obstacle Avoidance for UAV Swarms Via Adaptive Risk Avoidance Willingness Mechanism
ABSTRACT A swarm of unmanned aerial vehicles (UAVs) has been widely used in both military and civilian fields due to its advantages of high cost‐effectiveness, high task efficiency and strong survivability. However, there are still challenges in flocking control of UAV swarms in complex…
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Artikel Jurnal
Adaptive Safe Braking and Distance Prediction for Overhead Cranes With Multivariation Using MLP
ABSTRACT The emergency braking and braking distance prediction of an overhead crane pose challenging issues in its safe operation. This paper employs a multilayer perceptron (MLP) to implement an adaptive safe distance prediction functionality for an overhead crane with multiple variations. First…
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Artikel Jurnal
Autonomous Navigation and Collision Avoidance for AGV in Dynamic Environments: An Enhanced Deep Reinforcement Learning Approach With Composite Rewards and Dynamic Update Mechanisms
ABSTRACT With the booming development of logistics, manufacturing and warehousing fields, the autonomous navigation and intelligent obstacle avoidance technology of automated guided vehicles (AGVs) has become the focus of scientific research. In this paper, an enhanced deep reinforcement learning…
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Artikel Jurnal
Bioinspired framework for real‐time collision detection with dynamic obstacles in cluttered outdoor environments using event cameras
Abstract In the field of robotics and visual‐based navigation, event cameras are gaining popularity due to their exceptional dynamic range, low power consumption, and rapid response capabilities. These neuromorphic devices facilitate the efficient detection and avoidance of fast moving obstacles…
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Artikel Jurnal
Hybrid Attention Spike Transformer
ABSTRACT Spike transformers cannot be pretrained due to objective factors such as lack of datasets and memory constraints, which results in a significant performance gap compared to pretrained artificial neural networks (ANNs), thereby hindering their practical applicability. To address this issue…
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Artikel Jurnal
RMF‐ED: Real‐Time Multimodal Fusion for Enhanced Target Detection in Low‐Light Environments
ABSTRACT Accurate target detection in low‐light environments is crucial for unmanned aerial vehicles (UAVs) and autonomous driving applications. In this study, the authors introduce a real‐time multimodal fusion for enhanced detection (RMF‐ED), a novel framework designed to overcome the limitations…
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Artikel Jurnal
Multiagent Task Allocation for Dynamic Intelligent Space: Auction and Preemption With Ontology Knowledge Graph
ABSTRACT This paper introduces a pioneering dynamic system optimisation for multiagent (DySOMA) framework, revolutionising task scheduling in dynamic intelligent spaces with an emphasis on multirobot systems. The core of DySOMA is an advanced auction‐based algorithm coupled with a novel task…
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Artikel Jurnal
Move to See More: Approaching Object With Partial Occlusion Using Large Multimodal Model and Active Object Detection
ABSTRACT Active object detection (AOD) is a crucial task in the field of robotics. A key challenge in household environments for AOD is that the target object is often undetectable due to partial occlusion, which leads to the failure of traditional methods. To address the occlusion problem, this…
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Artikel Jurnal
Visual Simultaneous Localization and Mapping for Highly Dynamic Environments
ABSTRACT This paper presents a visual simultaneous localization and mapping (SLAM) system designed for highly dynamic environments, capable of eliminating dynamic objects using only visual information. The proposed system integrates learning‐based and geometry‐based methods to address the…
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Artikel Jurnal
Conflict‐Free Planning and Data‐Driven Control of Large‐Scale Nonlinear Multi‐Robot Systems
ABSTRACT This paper addresses a crucial challenge in the domain of smart factories and intelligent warehouse logistics, focusing on conflict‐free planning and the smooth operation of large‐scale nonlinear mobile robots. To tackle the challenges associated with scheduling large‐scale mobile robots…
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Artikel Jurnal
GPS‐Denied LiDAR‐Based SLAM—A Survey
ABSTRACT In recent years, significant advancements have been made in enabling intelligent unmanned agents to achieve autonomous navigation and positioning within large‐scale indoor or underground environments. Central to these achievements is simultaneous localization and mapping (SLAM) technology…
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Artikel Jurnal
A Visual Odometry Artificial Intelligence‐Based Method for Trajectory Learning and Tracking Applied to Mobile Robots
ABSTRACT Autonomous systems have demonstrated high performance in several applications. One of the most important is localisation systems, which are necessary for the safe navigation of autonomous cars or mobile robots. However, despite significant advances in this field, there are still areas open…
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Artikel Jurnal
Lightweight DETR for Small‐Target Defect Detection in Stators and Rotors of Pumped Storage Generators
ABSTRACT Real‐time detection of micro‐defects in pumped storage generator stators and rotors remains challenging due to small‐target obscurity and edge deployment constraints. This paper proposes EdgeFault‐detection transformer (DETR), a lightweight transformer model that integrates three…
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Artikel Jurnal
Robotic Arm C‐Space Trajectory Planning Using Large‐Scale Digital Twin Parallelism and Safety‐Prioritisable Optimal Search Algorithm
ABSTRACT This paper proposes a trajectory planning approach based on the configuration space (C‐space) generated from large‐scale digital twinning. Leveraging GPU‐based parallelism, the C‐space of a multi‐degree‐of‐freedom (multi‐DoF) manipulator in a complex task space with obstacles can be mapped…
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Artikel Jurnal
Hybrid Dynamic Point Removal and Ellipsoid Modelling of Object‐Based Semantic SLAM
ABSTRACT For the issue of low positioning accuracy in dynamic environments with traditional simultaneous localisation and mapping (SLAM), a dynamic point removal strategy combining object detection and optical flow tracking has been proposed. To fully utilise the semantic information, an ellipsoid…
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Artikel Jurnal
MASA‐Net: Multi‐Aspect Channel–Spatial Attention Network With Cross‐Layer Feature Aggregation for Accurate Fungi Species Identification
ABSTRACT Accurate identification of fungal species is essential for effective diagnosis and treatment. Traditional microscopy‐based methods are often subjective and time‐consuming. Deep learning has emerged as a promising tool in this domain. However, existing deep learning models often struggle to…
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Artikel Jurnal
Online Path Planning for Multi‐Robot Multi‐Source Seeking Using Distributed Gaussian Processes
ABSTRACT Multi‐robot source seeking in unknown environments is challenging due to the difficulties in coordinating multi‐robot sensing, information fusion and path planning. Existing approaches often struggle with computational scalability and search efficiency, particularly when dealing with…
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Artikel Jurnal
Path Planning Method for Live Working Robot in the Power Industry
ABSTRACT Given the complexity of live working environments in power distribution networks, where autonomous obstacle avoidance by robots often involves numerous path nodes and low exploration efficiency, the Bidirectional Node‐Controlled Rapidly Exploring Random Tree (BNC‐RRT) algorithm is…
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Artikel Jurnal
Virtual Reality Integrated Human–Computer Interaction System Based on Ultraleap 3Di Hand Gestures Recognition
ABSTRACT Gesture recognition is a key task in the field of human–computer interaction (HCI). To solve the problems of low accuracy and poor real‐time performance in the recognition process, this paper designs a HCI system based on gesture recognition. This paper utilises the Ultraleap 3Di to…
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Artikel Jurnal
Slip Detection and Stable Grasping With Multi‐Fingered Robotic Hand Using Deep Learning Approach
ABSTRACT Dexterous robotic hands are essential for various tasks in dynamic environments, but challenges such as slip detection and grasp stability affect real‐time performance. Traditional grasping methods often fail to detect subtle slip events, leading to unstable grasps. This paper proposes a…