Computers in Industry最新文献

Generative Manufacturing: A requirements and resource-driven approach to part making

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-04-01 DOI: 10.1016/j.compind.2025.104286

Hongrui Chen , Aditya Joglekar , Zack Rubinstein , Bradley Schmerl , Gary Fedder , Jan de Nijs , David Garlan , Stephen Smith , Levent Burak Kara

{"title":"Generative Manufacturing: A requirements and resource-driven approach to part making","authors":"Hongrui Chen , Aditya Joglekar , Zack Rubinstein , Bradley Schmerl , Gary Fedder , Jan de Nijs , David Garlan , Stephen Smith , Levent Burak Kara","doi":"10.1016/j.compind.2025.104286","DOIUrl":"10.1016/j.compind.2025.104286","url":null,"abstract":"<div><div>Advances in CAD (Computer Aided Design) and CAM (Computer Aided Engineering) have enabled engineers and design teams to digitally design parts with unprecedented ease. Software solutions now come with a range of modules for optimizing designs for performance requirements, generating instructions for manufacturing, and digitally tracking the entire process from design to procurement in the form of product life-cycle management tools. However, existing solutions force design teams and corporations to take a primarily serial approach where manufacturing and procurement decisions are largely contingent on design, rather than being an integral part of the design process. In this work, we propose a new approach to part making where design, manufacturing, and supply chain requirements and resources can be jointly considered and optimized. We present the Generative Manufacturing compiler that accepts as input the following: (1) An engineering part requirements specification that includes quantities such as loads, domain envelope, mass, and compliance, (2) A business part requirements specification that includes production volume, cost, and lead time, (3) Contextual knowledge about the current manufacturing state such as availability of relevant manufacturing equipment, materials, and workforce, both locally and through the supply chain. Based on these factors, the compiler generates and evaluates manufacturing process alternatives and the optimal derivative designs that are implied by each process, and enables a user guided iterative exploration of the design space. As part of our initial implementation of this compiler, we demonstrate the effectiveness of our approach on examples of a cantilever beam problem and a rocket engine mount problem and showcase its utility in creating and selecting optimal solutions according to the requirements and resources.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104286"},"PeriodicalIF":8.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An augmented reality-enabled digital twin system for reconfigurable soft robots: Visualization, simulation and interaction

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-03-28 DOI: 10.1016/j.compind.2025.104285

Zhongyuan Liao , Wanzhen Wei , Leihan Zhang , Yuer Gao , Yi Cai

{"title":"An augmented reality-enabled digital twin system for reconfigurable soft robots: Visualization, simulation and interaction","authors":"Zhongyuan Liao , Wanzhen Wei , Leihan Zhang , Yuer Gao , Yi Cai","doi":"10.1016/j.compind.2025.104285","DOIUrl":"10.1016/j.compind.2025.104285","url":null,"abstract":"<div><div>In the rapidly evolving field of soft robotics, the development of new materials, structural designs, and conceptual frameworks has led to the rise of soft robot technology, which is now moving towards a highly versatile modular architecture with potential uses across various industries. However, one of the main hurdles faced in this domain is the shape-morphing challenge, as existing visualization and simulation tools struggle to adequately represent the complex and continued deformation behaviors of soft robots. Furthermore, there is a distinct lack of intuitive, user-friendly platforms for visualizing and interactively controlling the shape-shifting capabilities of these robots. In response to these challenges, this paper introduces an innovative digital twin (DT) system for reconfigurable soft robots set within an augmented reality (AR) environment. This system facilitates a more natural and accurate depiction of 3D soft deformations and provides an intuitive interface for simulation. We utilize a parameterized curve-driven method to dynamically adapt the DT in the AR space, ensuring smooth transitions between various 3D shape-morphing states. We identify three fundamental shape-morphing patterns – stretching, bending, and twisting – and create advanced visualization tools to precisely demonstrate these morphological changes. To enhance the real-time representation of shape-morphing, we employ sensor fusion to detect and depict the soft robot’s structural changes as parameterized curves. Our system is fully operational in an AR environment, empowering users to conduct immersive examinations and simulate reconfigurations of real-world soft robotic systems.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104285"},"PeriodicalIF":8.2,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-03-27 DOI: 10.1016/j.compind.2025.104287

Pengyu Sun , Bowen Chen , Weihua Li , Yiqun Liu , Jianfeng Wang , Jun Li , Chengxu Zhou

{"title":"Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots","authors":"Pengyu Sun , Bowen Chen , Weihua Li , Yiqun Liu , Jianfeng Wang , Jun Li , Chengxu Zhou","doi":"10.1016/j.compind.2025.104287","DOIUrl":"10.1016/j.compind.2025.104287","url":null,"abstract":"<div><div>With the continuous increase in the number of EVs, intelligent charging has become a critical challenge for power supply infrastructure. Charging robots, equipped with batteries and charging guns, are capable of performing autonomous charging and have emerged as a focal point for research for leading robotics companies. However, during the autonomous charging process, several challenges remain, particularly with regard to the precise positioning of the charging port and the compliance of the manipulator during the plug-in operation. We introduce an autonomous charging strategy for charging robots, tailored for EV charging tasks. The existing two-dimensional image registration technology is extended to three dimensions, and a novel autonomous positioning method based on point cloud information is proposed, enabling real-time attitude estimation of the robot in the vehicle coordinate system. ArUco markers are employed to locate the charging port, and a segmented PID control strategy is proposed to adjust the robot's posture, ensuring it correctly faces the charging port. By integrating fuzzy logic with impedance control, the compliance of the robot's plugging action is enhanced. Furthermore, a charging robot platform is developed, and experimental tests for charging EVs are conducted, demonstrating the feasibility and effectiveness of the proposed approach.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104287"},"PeriodicalIF":8.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-03-11 DOI: 10.1016/j.compind.2025.104274

Sida Chai , Xiangyin Kong , Mehmet Mercangöz

{"title":"State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models","authors":"Sida Chai , Xiangyin Kong , Mehmet Mercangöz","doi":"10.1016/j.compind.2025.104274","DOIUrl":"10.1016/j.compind.2025.104274","url":null,"abstract":"<div><div>Industrial gas drying systems with twin silica gel packed beds are widely used to remove moisture from gas streams, alternating between drying and regeneration phases to maintain continuous operation. This paper presents an integrated solution for real-time estimation of water content within the packed beds of such a system used for drying process air. First, two mechanistic models were developed and validated using gas exit temperature data, achieving average prediction error rates of 5.6% and 5.2% for the drying and regeneration processes, respectively. These mechanistic model prediction errors were then used to train a machine learning model, reducing previous prediction errors to 1.2% and 3.7%. The models were subsequently combined into a hybrid structure and embedded within a moving horizon estimation framework to monitor the internal states of the mechanistic model in real-time. This approach meets observability requirements and provides a more robust solution than open-loop predictions, as demonstrated in the paper through studies using historical process data for both drying and regeneration operations. Further analysis of the regeneration phase revealed that the quantity of heated air and heating duration exceed requirements for water desorption, indicating potential areas for energy optimization using the proposed state estimation solution.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104274"},"PeriodicalIF":8.2,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-similarity and gradient fusion digital twins for fault detection and diagnosis of rolling bearings

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-03-08 DOI: 10.1016/j.compind.2025.104273

Xiaotian Zhang, Xue Wang, Haiming Yao, Wei Luo, Zhenfeng Qiang, Donghao Luo

{"title":"Multi-similarity and gradient fusion digital twins for fault detection and diagnosis of rolling bearings","authors":"Xiaotian Zhang, Xue Wang, Haiming Yao, Wei Luo, Zhenfeng Qiang, Donghao Luo","doi":"10.1016/j.compind.2025.104273","DOIUrl":"10.1016/j.compind.2025.104273","url":null,"abstract":"<div><div>In rolling bearing application scenarios, the challenges of acquiring faulty data have led to research focusing on unsupervised fault detection and diagnosis methods trained solely on healthy data. In this study, we built a deep digital twin of a healthy rolling bearing state by combining multi-similarity metrics and a model backpropagation mechanism to fully mine fault information and achieve advancements in both fault detection and diagnosis. Our proposed approach establishes a fault scoring metric set (FSMS) by integrating multi-similarity metrics and model gradient information. Furthermore, a selection and fusion strategy for the FSMS is designed based on the old stage generated validation datasets to obtain a fusion fault scoring metric and realize fault detection. A gradient fusion digital twin is further proposed for fault diagnosis. The method fuses time–frequency and model gradient features to distinguish different fault modes. To verify the effectiveness of the proposed method, experiments were conducted on rolling bearing datasets. The experimental results show that the proposed method has excellent performance, effectively integrating the fault information embedded in multi-similarity metrics and gradient information, while exhibiting strong robustness and generalization to variations in hyperparameters. This study provides a promising new idea for digital twins in fault prediction and health management of rolling bearings.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104273"},"PeriodicalIF":8.2,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ArchiDiff: Interactive design of 3D architectural forms generated from a single image

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-03-06 DOI: 10.1016/j.compind.2025.104275

Jun Yin , Wen Gao , Jizhizi Li , Pengjian Xu , Chenglin Wu , Borong Lin , Shuai Lu

{"title":"ArchiDiff: Interactive design of 3D architectural forms generated from a single image","authors":"Jun Yin , Wen Gao , Jizhizi Li , Pengjian Xu , Chenglin Wu , Borong Lin , Shuai Lu","doi":"10.1016/j.compind.2025.104275","DOIUrl":"10.1016/j.compind.2025.104275","url":null,"abstract":"<div><div>3D Reconstruction Using Images has made strides in small-scale, uncomplicated scenes but struggles with complex, large-scale architectural forms. Targeting early-stage architectural design, we introduce ArchiDiff, a platform for 3D architectural form generation and editing from images to point clouds. First, we curated a dataset specifically tailored for architectural design, ArchiCloudNet. Second, we proposed a 3D generation method using a conditional denoising diffusion model, with an arbitrary object segmentation model to enhance recognition capabilities in complex input. Finally, we incorporate an interactive feature enabling instantaneous 2D image editing through simple drag-and-drops with simultaneous updates to 3D forms, giving designers improved control. We evaluated ArchiDiff’s generation accuracy against cutting-edge baselines on ArchiCloudNet and two other datasets, RealCity3D and BuildingNet. We also validated it with real sketches from early-stage architectural design. The experiments indicated that our model could generate accurate architectural point clouds, providing rapid-response modification and effective processing of complex backgrounds. Demostration: <span><span>http://39.101.72.109:3000/archidiff</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104275"},"PeriodicalIF":8.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-03-01 DOI: 10.1016/j.compind.2025.104268

Rania Hamdani, Inès Chihi

{"title":"Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation","authors":"Rania Hamdani, Inès Chihi","doi":"10.1016/j.compind.2025.104268","DOIUrl":"10.1016/j.compind.2025.104268","url":null,"abstract":"<div><div>This paper explores the domain of adaptive Human-Computer Interaction (HCI) within the emerging context of Industry 5.0, which marks the transition from Industry 4.0 by emphasizing human-centric approaches and collaboration between humans and intelligent systems. It focuses on enhancing user experience while maintaining high security standards. The complexity of intelligent industrial environments introduces various challenges, including vulnerabilities caused by faults that can propagate across multiple layers and heterogeneous systems. Predictive maintenance becomes more complicated due to the need for advanced monitoring across interconnected systems, and the dynamic nature of these environments demands seamless adaptation. This is essential for fostering harmony between human operators and intelligent systems in real-time. However, the increasing complexity of these environments reveals the limitations of the current HCI models, making adaptability a basic requirement. This paper carries a complete 141-paper review regarding research on HCI along with a detailed exposition of the core architecture, enabling technologies, and real-world application examples. Furthermore, it presents an innovative conceptual model for implementing an HCI system that dynamically adapts to environmental changes, user behavior, diverse user profiles, and varying accessibility needs, specifically within the context of fault detection and diagnosis systems. The proposed approach has been rigorously validated through empirical studies, demonstrating its effectiveness and practical applicability. To improve resiliency and efficiency in such a smart industrial system as is vulnerable, the interface would adapt itself to user behavior and diversity. It addresses the challenges that arise during this dynamic and complex environment that would ensure a secure and seamless interaction.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104268"},"PeriodicalIF":8.2,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143518965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multipoint dynamic displacement monitoring of long-span beam bridges and their time-space evolution using a camera-chain system

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-02-28 DOI: 10.1016/j.compind.2025.104271

Wenjun Chen , Yihe Yin , Biao Hu , Qifeng Yu , Xiaolin Liu , Yueqiang Zhang , Zhendong Ge , Xiaohua Ding

{"title":"Multipoint dynamic displacement monitoring of long-span beam bridges and their time-space evolution using a camera-chain system","authors":"Wenjun Chen , Yihe Yin , Biao Hu , Qifeng Yu , Xiaolin Liu , Yueqiang Zhang , Zhendong Ge , Xiaohua Ding","doi":"10.1016/j.compind.2025.104271","DOIUrl":"10.1016/j.compind.2025.104271","url":null,"abstract":"<div><div>Deflection and lateral displacement are critical factors in bridge structural health monitoring. Vision-based displacement monitoring techniques have advantages, such as full-field coverage, high precision, real-time feedback, and automation. However, existing methods still face two key problems that limit their field application: a) an inherent trade-off between measurement range and accuracy, and b) the effect of environmental disturbance on observation platform stability. This paper proposes a camera-chain-based multipoint displacement measurement system for long-span beam bridges. The system primarily consists of double-head camera stations linked by artificial markers. By connecting the optical paths of the camera stations in the physical setup and compensating for motion-induced errors in the measurement model, the system can be deployed along a deformed beam to enable synchronized dynamic measurements at multiple points. Comparative field tests demonstrate that the displacement measurements obtained from this system are consistent with those from traditional methods, such as manual leveling and automated connecting pipe systems, while providing advantages in terms of dynamic monitoring and the breadth of measurement parameters. Benefiting from real-time multipoint measurement, the system captures detailed spatial deformation curves. In addition, the observed vehicle-induced evolution of bridge deflection aligns well with the recorded vehicle speed and can be used to evaluate the modal parameters of beam bridges. The proposed method and system can provide new options and better data for bridge displacement monitoring to support the accuracy and timeliness of safety warnings.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"168 ","pages":"Article 104271"},"PeriodicalIF":8.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An evaluation scheme incorporating digital characteristics for transient tribological behaviours under complex loading conditions for the hot stamping process

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-02-26 DOI: 10.1016/j.compind.2025.104270

Heli Liu , Xiao Yang , Denis Politis , Huifeng Shi , Liliang Wang

{"title":"An evaluation scheme incorporating digital characteristics for transient tribological behaviours under complex loading conditions for the hot stamping process","authors":"Heli Liu , Xiao Yang , Denis Politis , Huifeng Shi , Liliang Wang","doi":"10.1016/j.compind.2025.104270","DOIUrl":"10.1016/j.compind.2025.104270","url":null,"abstract":"<div><div>The growing availability of metal forming data has driven a new era of data-centric approaches in digital manufacturing. This wealth of data enables the development of digitally enhanced metal forming processes and associated technologies. In this work, using the hot stamping data obtained from a cloud-based manufacturing database, the digital characteristics (DC), defined as the visualisation of a specific manufacturing process containing essential information spanning over the design, manufacturing, and application phases of the products, were unlocked for the hot stamping process. The complex contact conditions were successfully visualised by the hot stamping DC. Following this discovery, the performance of transient lubricant behaviours was evaluated under complex loading and constant loading conditions regarding coefficient of friction evolution and lubricant limit diagram (LLD), which is a digitally-enhanced approach to enable the quantitative evaluation of different lubricants. Results demonstrate that the efficacy of DC-enhanced methodology facilitates the insightful comprehension of transient tribological behaviours and offers great potential on customised lubricant development towards optimisation of hot stamping and metal forming processes.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"167 ","pages":"Article 104270"},"PeriodicalIF":8.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots

IF 8.2 1区计算机科学

Computers in Industry Pub Date : 2025-02-26 DOI: 10.1016/j.compind.2025.104272

Jichun Wang , Liangliang Yang , Haiyan Cen , Yong He , Yufei Liu

{"title":"Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots","authors":"Jichun Wang , Liangliang Yang , Haiyan Cen , Yong He , Yufei Liu","doi":"10.1016/j.compind.2025.104272","DOIUrl":"10.1016/j.compind.2025.104272","url":null,"abstract":"<div><div>With the ongoing advancements in autonomous navigation technology, agricultural robots are increasingly being deployed across various sectors of agriculture. Among the critical components of this technology, dynamic obstacle avoidance in complex agricultural environments serves as the foundation for enhancing the autonomy and safety of these robots. The Dynamic Window Approach (DWA) is a widely recognized method for achieving local obstacle avoidance. It operates by sampling the robot's velocity space and then evaluating the sampled trajectories using a value function to determine the optimal velocity pair. However, a significant limitation of the traditional DWA method lies in its fixed weights for the value function, which restricts its performance to manual tuning and renders it less adaptable to intricate and dynamic obstacle environments. To address this limitation, we introduced an innovative approach by integrating the Twin Delayed Deep Deterministic Policy Gradient (TD3) method into the weight determination process of the DWA algorithm's value function. This integration enabled the weight coefficients to adapt dynamically in response to environmental variations, thereby enhancing the algorithm's flexibility and effectiveness. Our extensive simulation and field testing revealed that while the traditional DWA algorithm struggled to navigate complex dynamic obstacle environments, the proposed TD3-DWA algorithm achieved a success rate of over 90 % in obstacle avoidance. This outcome underscored the algorithm's adaptability and robustness, positioning it as a reliable solution for ensuring safe and efficient navigation in agricultural robotics.</div></div>","PeriodicalId":55219,"journal":{"name":"Computers in Industry","volume":"167 ","pages":"Article 104272"},"PeriodicalIF":8.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0