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Augmented reality spatial programming paradigm applied to end-user robot programming Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-13 Michal Kapinus, Vítězslav Beran, Zdeněk Materna, Daniel Bambušek
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An analytical tool path smoothing algorithm for robotic machining with the consideration of redundant kinematics Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-10 Jixiang Yang, Qi Qi, Abulikemu Adili, Han Ding
In the machining of complex parts with free-formed surfaces, robots are widely employed due to their advantages of a large operating space and high flexibility. The industrial robot with 6 degrees-of-freedom (DOF) has an extra redundant degree of freedom around the tool axis, which does not affect the tool pose related to the workpieces but influences the robot's joint configuration. The motion performance
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Research on trajectory learning and modification method based on improved dynamic movement primitives Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-09 Nanyan Shen, Jiawei Mao, Jing Li, Zhengquan Mao
Traditional robot trajectory planning and programming methods often struggle to adapt to changing working requirements, leading to repeated programming in manufacturing processes. To address these challenges, a trajectory learning and modification method based on improved Dynamic Movement Primitives (DMPs), called FDC-DMP, is proposed. The method introduces an improved force-controlled dynamic coupling
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Seam tracking and gap bridging during robotic laser beam welding via grayscale imaging and wobbling Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-08 Davide Maria Boldrin, Lorenzo Molinari Tosatti, Barbara Previtali, Ali Gökhan Demir
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Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-06 Muhammad Hamza Zafar, Even Falkenberg Langås, Filippo Sanfilippo
Industry 5.0 aims at establishing an inclusive, smart and sustainable production process that encourages human creativity and expertise by leveraging enhanced automation and machine intelligence. Collaborative robotics, or “cobotics”,is a major enabling technology of Industry 5.0, which aspires at improving human dexterity by elevating robots to extensions of human capabilities and, ultimately, even
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Quantification of uncertainty in robot pose errors and calibration of reliable compensation values Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-05 Teng Zhang, Fangyu Peng, Rong Yan, Xiaowei Tang, Runpeng Deng, Jiangmiao Yuan
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Accurate error compensation method for multi-axis parallel machine via singularized jacobi geometric parameter correction and coupling error evaluation Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-03 Yuheng Luo, Jian Gao, Disai Chen, Lanyu Zhang, Yachao Liu, Yongbin Zhong
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Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-27 Qiang Guo, Zi Yang, Jinting Xu, Yan Jiang, Wenbo Wang, Zonglin Liu, Weisen Zhao, Yuwen Sun
Welding is a method of realizing material connections, and the development of modern sensing technology is pushing this traditional process towards automation and intelligence. Among many sensing methods, visual sensing stands out with its advantages of non-contact, fast response and economic benefits, etc. This paper provides a comprehensive review of visualization methods in the context of specific
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An Expandable and Generalized Method for Equipment Information Reflection in Digital Twin Workshop Systems Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-27 Yueze Zhang, Dongjie Zhang, Jun Yan, Zhifeng Liu, Tongtong Jin
A production workshop is equipped with diverse equipment and machinery, and manufacturing data generated by different equipment show certain differences. Therefore, developing a method with an information presentation capability for a digital twin workshop system (DTWS) can be challenging due to the numerous information sources and types. The level of detail provided for a DTWS is directly related
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Digital twin enhanced quality prediction method of powder compaction process Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-26 Ying Zuo, Hujie You, Xiaofu Zou, Wei Ji, Fei Tao
During the powder compaction process, process parameters are required for product quality prediction. However, the inadequacy of compaction data leads to difficulties in constructing models for quality prediction. Meanwhile, the existing data generation methods can only generate required data partially, and fail to generate data for extreme operating conditions and difficult-to-measure quality parameters
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A general energy modeling network for serial industrial robots integrating physical mechanism priors Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-25 Ming Yao, Xiang Zhou, Zhufeng Shao, Liping Wang
Industrial robots (IRs), as the core equipment of intelligent manufacturing, play increasingly important roles in various industrial scenarios such as assembly, welding, handling, and spraying, significantly improving production efficiency and product quality. The massive popularization and application of IRs have brought about a sharp increase in energy consumption (EC), and the modeling and optimization
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An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-20 Youxi Hu, Chao Liu, Ming Zhang, Yuqian Lu, Yu Jia, Yuchun Xu
Disassembly is a decisive step in the remanufacturing process of End-of-Life (EoL) products. As an emerging semi-automatic disassembly paradigm, human–robot collaborative disassembly (HRCD) offers multiple disassembly methods to enhance flexibility and efficiency. However, HRCD increases the complexity of planning and determining the optimal disassembly sequence and scheme. Currently, the optimisation
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A dual-robot cooperative arc welding path planning algorithm based on multi-objective cross-entropy optimization Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-19 Qichao Tang, Lei Ma, Duo Zhao, Yongkui Sun, Jieyu Lei, Qingyi Wang
In this paper a novel discrete multi-objective cross-entropy optimization (CrMOCEO) algorithm is proposed to solve the path planning problem of dual-robot cooperative arc welding. We strive to find a low-cost, fast and more efficient solution for robotic welding of large complex components. Firstly, an optimization model of dual-robot welding path planning is established by considering various variables
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Towards industry 5.0 through metaverse Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-18 Alberto Martínez-Gutiérrez, Javier Díez-González, Hilde Perez, Madalena Araújo
The digital transformation of the industry allows the optimization of resources through enabling technology that virtualizes the behavior of Cyber-Physical Systems (CPS) along the entire value chain. However, these virtual environments characterized by machine-to-machine interactions lacked the presence of humans who are at the center of the next defined industrial revolution, Industry 5.0. The goal
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In-situ elastic calibration of robots: Minimally-invasive technology, cover-based pose search and aerospace case studies Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-16 Bruno Monsarrat, Julien-Mathieu Audet, Yves Fortin, Gabriel Côté, Michael Vistein, Lars Brandt, Ahmad Sadek, Florian Krebs
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End-of-life electric vehicle battery disassembly enabled by intelligent and human-robot collaboration technologies: A review Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-15 Weidong Li, Yiqun Peng, Yu Zhu, Duc Truong Pham, A.Y.C. Nee, S.K. Ong
Electric vehicles (EVs) have been experiencing radical growth to embrace the ambitious targets of decarbonisation and circular economies. The trend has led to a significant surge in the number of lithium-ion batteries (LIBs) that will soon reach the end-of-life (EoL) stage. Given that landfilling EoL EV LIBs generates substantially negative impacts on the environment, it is imperative to develop economically
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Tool path correction for robotic deburring using local non-rigid 3D registration Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-13 Peiyang Peng, Chengxing Wu, Jixiang Yang, Han Ding
The presence of residual burrs on the surface of workpieces not only affects the surface quality but also reduces their performance. The position and orientation of the cutting tool in the deburring process are crucial for effective burr removal. Due to the interference caused by the burrs uncertainty or the manufacturing deformation, the off-line path from the workpiece CAD model is difficult to ensure
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A milling test-based coordinate calibration approach for the dual-robot mirror milling system with a measurement module Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-10 Yang Zhang, Peng Guo, Nuodi Huang, Yaqi Zhang, Limin Zhu
Accurate collaborative positioning by dual robots is crucial for achieving high precision in dual-robot mirror milling operations. However, the tool frames constructed in conventional dual-robot coordinate calibration approaches need to be substituted by a new set designated for the mirror milling, which may induce a notable reduction of collaborative positioning accuracy. This paper presents a novel
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Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-10 Hoonmin Park, Minchul Shin, Gyubok Choi, Yuseop Sim, Jiho Lee, Huitaek Yun, Martin Byung-Guk Jun, Gyuman Kim, Younghun Jeong, Hak Yi
Industry 4.0 has underscored the importance of human–robot collaboration (HRC), necessitating an efficient integration of human workers and robots to achieve high-productivity manufacturing. Traditional HRC-related teaching operations rely on intuitive tools, such as a teach pendant, but are effort-intensive and require personnel with specialized skills, particularly those who use collaborative robots
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Design and implementation of a precision levelling composite stage with active passive vibration isolation Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-06 Lanyu Zhang, Shaoxuan Zhang, Jian Gao, Junhao Yi, Hao Wen, Yun Chen, Xin Chen
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Sensorless admittance control of 6-DoF parallel robot in human-robot collaborative assembly Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-05 Tao Sun, Jiarui Sun, Binbin Lian, Qi Li
This paper presents an adaptive admittance control to achieve human-robot collaborative (HRC) assembling of large, heavy components without using external sensors. This sensorless adaptive admittance control is constructed by the dynamic model of a six degree-of-freedom (DoF) parallel robot based on finite and instantaneous screw (FIS) theory. The dynamic model is intuitive and easy to be programmed
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The cascaded flowshop joint scheduling problem: A mathematical model and population-based iterated greedy algorithm to minimize total tardiness Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-03-02 Chuang Wang, Quan-Ke Pan, Hong-Yan Sang
This paper focuses on a cascaded flowshop joint scheduling problem (CFJSP) based on an investigation of the printed circuit board manufacturing industry, aiming at total tardiness minimization. Unlike single flowshop scheduling problems, the CFJSP can be regarded as a scheduling problem consisting of two sub-problems, , distributed permutation flowshop scheduling problem (DPFSP) and hybrid flowshop
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Research on tool wear state identification method driven by multi-source information fusion and multi-dimension attention mechanism Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-24 Peining Wei, Rongyi Li, Xianli Liu, Haining Gao, Mingqiu Dai, Yuhan Zhang, Wenkai Zhao, Erliang Liu
Cutting tool wear condition monitoring technology is the key technology of advanced manufacturing system and a crucial component of machining. The stage of the tool wear has a direct impact on performance of the workpiece and efficacy of machine tool. However, the duplication and lack of wear information and the fuzzy area of the tool wear transition stage are the key factors contributing to the incorrect
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Robotic measurement system based on cooperative optical profiler integrating fringe projection with photometric stereo for highly reflective workpiece Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-15 Xi Wang, YiJun Shen, ZhenXiong Jian, DaiZhou Wen, XinQuan Zhang, LiMin Zhu, MingJun Ren
Robotic measurement has emerged as a prominent method for the quality control of large-scale metal workpieces. However, it faces two significant challenges: optical measurement of homogeneous high-reflective metal surfaces and point cloud registration on local featureless surfaces. To address these challenges, this study presents a cooperative optical profiler that integrates a certain number of light-emitting
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Magnetorheological elastomer absorber-based chatter suppression in robotic milling Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-14 Wei Zhao, Bo Li, Wei Tian, Peng Liu, Wenhe Liao
As intelligent and automated technology continues to rapidly advance in aerospace, industrial robots have been becoming a powerful alternative to machine tools in milling processes. However, due to their low stiffness, robots are susceptible to the self-excited chatter during milling, leading to machining failures or even workpiece breakages. It is therefore crucial to suppress the chatter in robotic
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Knowledge graph based OPC UA information model automatic construction method for heterogeneous devices integration Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-13 Xiaobin Li, Shucheng Zhang, Pei Jiang, Mikun Deng, Xi Vincent Wang, Chao Yin
Emergent manufacturing paradigms, including ubiquitous manufacturing, social manufacturing, and agile manufacturing, facilitate the advancement of the manufacturing industry. However, these paradigms suffer from the difficulty of interoperability due to the heterogeneity of field devices and diverse communication protocols. The OLE for Process Control Unified Architecture (OPC UA) technique, which
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Three-dimensional spatial energy-quality map construction for optimal robot placement in multi-robot additive manufacturing Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-10 Suyog Ghungrad, Azadeh Haghighi
The adoption of multiple robots for collaborative additive manufacturing is rapidly gaining attention in the industry and research community due to their numerous advantages, such as fast and efficient printing of large-scale parts and their suitability for hazardous or extraterrestrial environments. However, to fully harness the potential of multi-robot additive manufacturing systems, several challenges
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Robust dynamic robot scheduling for collaborating with humans in manufacturing operations Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-09 Gilde Vanel Tchane Djogdom, Ramy Meziane, Martin J.-D. Otis
The advent of collaborative robotics in industry has created a closer collaboration between humans and robots. This has led to the need to optimally schedule human and robot tasks to be robust enough to handle variability induced by time-related operator errors caused by the inability to accurately forecast the stochastic nature of human behavior. This article proposes an explicit scheme for tackling
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DT-CEPA: A digital twin-driven contour error prediction approach for machine tools based on hybrid modeling and sparse time series Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-06 Shuai Ji, Hepeng Ni, Tianliang Hu, Jian Sun, Hanwen Yu, Huazhen Jin
Contour error prediction is of great significance for optimizing machining accuracy of machine tools (MTs). However, few commercial computer numerical control (CNC) systems provide continuous interpolation data which is necessary for traditional prediction methods. Instead, only sparse time series data can be collected through the un-realtime interconnection interface of CNC systems, which makes it
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Dynamic risk assessment and active response strategy of human-robot collaboration based on fuzzy comprehensive evaluation Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-06 Wenxuan Zhang, Xiaohui Jia, Jinyue Liu, Shigeng Zhang, Tiejun Li
In the heavy-duty physical human-robot collaboration, the robot carries a large load and has a wide operating space and a complex operating environment. If the operator slips, trips or accidentally touches the obstacle, the body will lose balance, and the robot directly executes the operator's intent command will increase the degree of injury, and may even lead to dangerous situations such as workpiece
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An optimal reference iteration-based surface reconstruction framework for robotic grinding of additively repaired blade with local deformation Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-05 Dazhuang Tian, Hao Wu, Yu Zhang, Kejia Zhuang, Lin Hua, Dahu Zhu
The additively repaired blade requires intelligent grinding process to restore the blade profile, and the essential prerequisite is to reconstruct a reliable reference surface at the repaired area with local deformation. In this paper, a novel surface reconstruction framework based on the optimal reference iteration in the parameter direction is developed to overcome this challenging problem through
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Trust-based variable impedance control of human–robot cooperative manipulation Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-01 Zhanrui Liao, Yue Wang
Human–robot collaboration (HRC) systems integrate the strengths of humans and robots to improve joint system performance. In particular, human–robot cooperative manipulation (co-manipulation), a prominent area within the field of HRC, in which humans and robots manipulate the same object, has garnered significant attention. Trust in HRC is crucial in determining the level of human acceptance of robots
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Precision robotic deburring with Simultaneous Registration and Machining for improved accuracy, quality, and efficiency Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-02-01 Steffan Lloyd, Rishad A. Irani, Mojtaba Ahmadi
This paper extends and validates our recently developed (SRAM) framework for robotic deburring applications. SRAM enhances contact stability and machining quality in planar robotic contouring tasks with uncertain registration. The framework estimates workpiece-tool contact points and utilizes them to improve registration accuracy and reduce path error in real-time, while modulating force controller
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Digital-twin-based predictive compensation control strategy for seam tracking in steel sheets welding of large cruise ships Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-30 Gang Shang, Liyun Xu, Zufa Li, Zhuo Zhou, Zhun Xu
Welding is an important part in the construction process of large cruise ships. Seam tracking is essential in the welding processes to ensure the welding accuracy. To reduce seam tracking error in the process of steel sheets welding for large cruise ships, a digital-twin-based predictive compensation control strategy is proposed. Firstly, based on an analysis of ideal characteristics for welding processes
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Adaptive automation: Status of research and future challenges Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-28 Margherita Bernabei, Francesco Costantino
Automation modifies workplaces, tools, and production activities, leading to new modalities of human-machine interaction. Traditionally, the allocation of functions in automated systems is static over time, i.e., functions are assigned to humans or machines. Adaptive Automation (AA) makes functions allocation dynamic, resulting from system conditions, performance, and human attributes to face emerging
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Leveraging error-assisted fine-tuning large language models for manufacturing excellence Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-25 Liqiao Xia, Chengxi Li, Canbin Zhang, Shimin Liu, Pai Zheng
The emergence of large language models (LLM), like GPT, is revolutionizing the field of information retrieval, finding applications across a wide range of domains. However, the intricate domain knowledge and the unique software paradigms inherent to the manufacturing sector have posed significant barriers to the effective utilization of LLM. To address this divide, an error-assisted fine-tuning approach
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Energy digital twins in smart manufacturing systems: A case study Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-25 Anna Billey, Thorsten Wuest
Among core Industry 4.0 technologies, the Digital Twin represents a promising smart technology and tool that researchers are investigating to help improve energy efficiency at the shopfloor level by analyzing and optimizing energy consumption. Energy Digital Twins are a relatively new area of research, only gaining popularity in industry applications and academia recently. where a comprehensive literature
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Assessing risk of AR and organizational changes factors in socio-technical robotic manufacturing Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-24 Soheila Sheikh Bahaei, Barbara Gallina
Technological changes such as the use of Augmented Reality (AR) along with the advent of new organizational changes such as digitalization are on the one hand positively changing the way of working but on the other hand they are introducing new risks, potentially leading to not only normal but also post-normal accidents. In our previous work, we have incrementally proposed a novel framework, called
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The effects of gamification for manufacturing (GfM) on workers and production in industrial assembly Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-19 Makenzie Dolly, Ashish Nimbarte, Thorsten Wuest
Gamification has been a growing topic of interest in recent years across many fields, especially marketing, healthcare, and education. More recently, researchers of manufacturing and production have begun exploring the potential applications of gamification for manufacturing, to improve psychological well-being of the workers and overall productivity. However, empirical research to support gamification
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Toward digital twins for high-performance manufacturing: Tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-16 Runqiong Wang, Qinghua Song, Yezhen Peng, Jing Qin, Zhanqiang Liu, Zhaojun Liu
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Reactive human–robot collaborative manipulation of deformable linear objects using a new topological latent control model Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-15 Peng Zhou, Pai Zheng, Jiaming Qi, Chengxi Li, Hoi-Yin Lee, Anqing Duan, Liang Lu, Zhongxuan Li, Luyin Hu, David Navarro-Alarcon
Real-time reactive manipulation of deformable linear objects is a challenging task that requires robots to quickly and adaptively respond to changes in the object’s deformed shape that result from external forces. In this paper, a novel approach is proposed for real-time reactive deformable linear object manipulation in the context of human–robot collaboration. The proposed approach combines a topological
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A stiffness matching-based deformation errors control strategy for dual-robot collaborative machining of thin-walled parts Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-13 Longkun Xu, Desheng Zhang, Jinting Xu, Ruoqi Wang, Yuwen Sun
Thin-walled parts are widely used in aerospace industry. To reduce the deformation errors of such thin-walled parts in machining and also to achieve simultaneous machining of both sides, a novel dual-robot machining system is developed in this paper. In this system, the local rigidity of the thin-walled parts can be enhanced via mutual support between two robots on both sides of the parts, thus reducing
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Chatter prediction for parallel mirror milling of thin-walled parts by dual-robot collaborative machining system Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-01-09 Ruoqi Wang, Yuwen Sun
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Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-30 Yi Zhang, Zequn Zhang, Yuqian Lu, Haihua Zhu, Dunbing Tang
The emergence of COVID-19 caused the stagnation of production activities and promoted the changing market demand. These uncertainties not only brought great challenges to the manufacturing approaches led by a single enterprise, but also threatened the stability of inherent supply chain. To maintain market competitiveness, an efficient distributed manufacturing resource allocation method is urgently
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RHYTHMS: Real-time Data-driven Human-machine Synchronization for Proactive Ergonomic Risk Mitigation in the Context of Industry 4.0 and Beyond Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-26 Shiquan Ling, Yanglang Yuan, Danqi Yan, Yuquan Leng, Yiming Rong, George Q. Huang
Human-machine work system (HMWS) represents a composite system that integrates machine precision and strength with human cognitive abilities, flexibility, and adaptability, aiming to achieve enhanced performance in various tasks aligned with a common goal, which is getting smarter in the era of Industry 4.0 (I4.0) and has received extensive attention from academia and industry. However, the lack of
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Virtual data generation for human intention prediction based on digital modeling of human-robot collaboration Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-24 Bitao Yao, Biao Yang, Wenjun Xu, Zhenrui Ji, Zude Zhou, Lihui Wang
Human intention prediction is vital for the efficiency of human-robot collaboration (HRC) and is usually modeled based on data-driven methods. However, due to the complexity and diverse nature of HRC, data collection for human intention prediction suffers from low sampling efficiency which restricts the application of HRC in manufacturing. Different from traditional real world data collection, a digital
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Collision detection for collaborative assembly operations on high-payload robots Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-25 Konstantinos Katsampiris-Salgado, Kevin Haninger, Christos Gkrizis, Nikos Dimitropoulos, Jörg Krüger, George Michalos, Sotiris Makris
Human-robot collaboration for high-payload industrial applications has the potential to unlock new applications and improve operator ergonomics. However, ensuring safety with closer proximity remains challenging due to the large payload. Collision detection can improve safety, but must be modified to consider the dynamics of high payload applications (internal oscillation, effective low-pass filtering
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Real-time constraint-based planning and control of robotic manipulators for safe human–robot collaboration Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-21 Kelly Merckaert, Bryan Convens, Marco M. Nicotra, Bram Vanderborght
A recent trend in industrial robotics is to have robotic manipulators working side-by-side with human operators. A challenging aspect of this coexistence is that the robot is required to reliably solve complex path-planning problems in a dynamically changing environment. To ensure the safety of the human operator while simultaneously achieving efficient task realization, this paper introduces a computationally
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Uncertainty-aware error modeling and hierarchical redundancy optimization for robotic surface machining Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-22 Zhao-Yang Liao, Qing-Hui Wang, Zhi-Hao Xu, Hong-Min Wu, Bing Li, Xue-Feng Zhou
Industrial robots are commonly utilized in in-situ machining, but their inherent limitations in stiffness and positioning accuracy can pose challenges in achieving precise freeform surface milling. Previous research primarily focused on robot stiffness optimization and positioning error prediction separately, neglecting the uncertainty of robot errors and the modeling of surface profile errors. To
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Process monitoring by deep neural networks in directed energy deposition: CNN-based detection, segmentation, and statistical analysis of melt pools Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-22 Reza Asadi, Antoine Queguineur, Olli Wiikinkoski, Hossein Mokhtarian, Tommi Aihkisalo, Alejandro Revuelta, Iñigo Flores Ituarte
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A human-cyber-physical system enabled sequential disassembly planning approach for a human-robot collaboration cell in Industry 5.0 Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-12 Shanhe Lou, Yiran Zhang, Runjia Tan, Chen Lv
Industry 5.0 characterized by human-centricity and sustainability has sparked a new wave of the industrial revolution. Human-cyber-physical system is the cornerstone of human-centric manufacturing while remanufacturing has gained considerable attention in fostering sustainability. Disassembly planning is a vital but challenging task in remanufacturing. In order to accommodate the frequent changes resulting
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A fault localization approach based on multi-system PCA and dynamic SDG: Application in train lifting equipment Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-08 Zhaozong Wang, Jiangfeng Cheng, Weiran Liu, Xiaofu Zou, Fei Tao
The development of the current rail transportation is increasingly rapid, and train maintenance is closely related to the high-efficiency running of rail transportation. Train lifting equipment (TLE) is important for train maintenance, for which stable operation is crucial. TLE fault is characterized by early abnormally weak and capable of propagation. Early anomaly detection and fault diagnosis are
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Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-10 Qiang Luo, Qianwang Deng, Huining Zhuang, Guiliang Gong, Qing Fan, Xiahui Liu
Previous studies on production scheduling predominantly focus on developing optimal production plans in the context of deterministic customer requirements, achieving certain optimization goals related to the manufacturer. However, little research has been conducted on scheduling customized spare parts manufacturing on the supply side and equipment operation strategy on the demand side simultaneously
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A novel 3D vision-based robotic welding path extraction method for complex intersection curves Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-08 Yusen Geng, Yuankai Zhang, Xincheng Tian, Lelai Zhou
With the rapid development of robot technology, robotic welding technology has gradually been applied in the complex co-main intersection pipeline welding field. However, due to the existence of clamping errors and processing dimensional errors in intersecting pipes of the same specification, the actual welding path deviates from the taught path and cannot meet the accuracy requirements of robot welding
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Towards a circular economy for electrical products: A systematic literature review and research agenda for automated recycling Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-12-02 Patrick Bründl, Albert Scheck, Huong Giang Nguyen, Jörg Franke
The growing need for sustainable waste management, especially for electronic waste (e-waste), has gained attention due to its environmental and economic implications. Despite the technological evolution of electronic products, their short lifespan and frequent replacement have led to a surge in discarded equipment. In particular, e-waste is rich in valuable materials, often exceeding natural ores.
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Enabling collaborative assembly between humans and robots using a digital twin system Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-11-21 Zequn Zhang, Yuchen Ji, Dunbing Tang, Jie Chen, Changchun Liu
Human–robot collaboration (HRC) systems are intelligent systems that guide robots to collaborate with humans based on a cognitive understanding of human intention, ensuring safe, flexible, and efficient collaboration between humans and robots in shared workspaces. In industrial settings, the current methods for constructing a human digital twin model rely on motion capture devices that require personnel
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Dynamic collision estimator for collaborative robots: A dynamic Bayesian network with Markov model for highly reliable collision detection Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-11-22 Junmin Park, Taehoon Kim, Chengyan Gu, Yun Kang, Joono Cheong
In this paper, we propose a highly reliable and accurate collision estimator for robot manipulators working in human–robot collaborative environments, based on the Bayesian approach for practical uses. We assume the robot collision as a dynamic Markov process, not a static event, to reflect the transient behavior of mechanical collisions. Thus, the collision estimator can integrate the prior belief
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Efficient five-axis scanning-inspection path planning for complex freeform surfaces Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-11-15 Zhaoyu Li, Dong He, Xiangyu Li, Xiaoke Deng, Pengcheng Hu, Jiancheng Hao, Yue Hou, Hongyu Yu, Kai Tang
Freeform surface inspection is vital in manufacturing-related processes, and the newly emerged five-axis continuous sweep scanning technology offers to be a powerful means for accurate inspection of freeform surfaces. However, at present, for an arbitrary freeform surface, it still heavily depends on human intervention in planning an interference-free sweep scanning path, wherein typically the surface
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Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2023-11-17 Regina Kyung-Jin Lee, Hao Zheng, Yuqian Lu
Future manufacturing will witness a shift in human-robot relationships toward collaboration, compassion, and coevolution. This will require seamless human-robot knowledge transfer. Differences in language and knowledge representation hinder the transfer of knowledge between humans and robots. Thus, a unified knowledge representation system that can be shared by humans and robots is essential. Driven