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- research-articleSeptember 2024
Computer-controlled 3D freeform surface weaving
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102819AbstractIn this paper, we present a new computer-controlled weaving technology that enables the fabrication of woven structures in the shape of given 3D surfaces by using threads in non-traditional materials with high bending-stiffness, allowing for ...
Highlights- A solution is developed to fabricate a woven fabric in the shape of 3D surface.
- A novel mechatronic designed for 3D surface weaving is demonstrated on a prototype.
- Technology for digital 3D surface weaving enables novel ...
- research-articleSeptember 2024
A sparse knowledge embedded configuration optimization method for robotic machining system toward improving machining quality
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102818Highlight- The effect of mapping model distribution differences on optimization is focused on
- Configuration optimization method with sparse knowledge embedded is proposed
- Optimization phase, individual density, and redundancy are sparse in ...
In recent years, robotic machining has become one of the most important paradigms for the machining of large and complex parts due to the advantages of large workspaces and flexible configurations. However, different configurations will ...
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- research-articleSeptember 2024
Green and efficient-oriented human-robot hybrid partial destructive disassembly line balancing problem from non-disassemblability of components and noise pollution
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102816Highlights- For the first time, destructive operation is introduced into the human-robot disassembly line balancing problem, with noise during disassembly is considered. A MIP model is also developed for this problem and the correctness of the model ...
Current research on the disassembly line balancing problem ignores the influence of non-disassemblability of components. And this problem can lead to failure of the disassembly task, which can seriously affect the disassembly efficiency. This ...
- research-articleSeptember 2024
Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102815Highlights- Integrated multi-source domain dynamic adaptive transfer learning is built for machining quality prediction.
- Domain similarity-sample double matching multi-source domain integration is designed to integrate knowledge.
- The combined ...
Machining quality prediction of multi-feature parts has been a challenging problem because of small dataset and inconsistent quality data distribution with respect to each machining feature. Transfer learning that leverages knowledge of one task ...
- research-articleSeptember 2024
A methodology for information modelling and analysis of manufacturing processes for digital twins
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102813AbstractThis paper introduces a methodology for information modelling and analysis of physical manufacturing processes for digital twins (DTs). It aims to establish a comprehensive and fundamental understanding of manufacturing processes regarding the ...
Highlights- A manufacturing process information model is established for digital twin lifecycle.
- Identifying information entities within the manufacturing process for DTs is studied.
- Three methods are suggested and specified for the ...
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- research-articleSeptember 2024
Dynamic robot routing optimization: State–space decomposition for operations research-informed reinforcement learning
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102812AbstractThere is a growing interest in implementing artificial intelligence for operations research in the industrial environment. While numerous classic operations research solvers ensure optimal solutions, they often struggle with real-time dynamic ...
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Highlights- We present a novel reinforcement learning method for solving dynamic routing problems.
- The proposed framework, namely SSD4OR-RL, suits to mixed-integer linear programming.
- SSD4OR-RL allows knowledge transfer between classic ...
- review-articleSeptember 2024
An overview of stiffening approaches for continuum robots
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102811AbstractContinuum robots have become more popular recently due to their scalable dexterity and mobility. However, they may suffer from issues like insufficient stiffness because they are designed to promote their flexibility. To address this issue and ...
- research-articleSeptember 2024
A novel method to enhance the accuracy of parameter identification in elasto-geometrical calibration for industrial robots
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102809Highlights- A novel method is proposed to enhance the accuracy of parameter identification in elasto-geometrical calibration for industrial robots.
- An elasto-geometrical error model is established based on the OIM to reduce the impact of ...
Elasto-geometrical calibration is crucial for enhancing the absolute accuracy of robots in machining operations through the identification and compensation of parameter errors. However, the presence of inconsistent measurement units and improper ...
- research-articleSeptember 2024
Hierarchical online automated planning for a flexible manufacturing system
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102807AbstractTask planning and action planning for workshop machines are essential for modern manufacturing. Traditionally, these two problems are solved independently with elaborate manual methods. However, personalized customization introduces more dynamic ...
Highlights- Formulating the planning problem considering both non-deterministic factors of system level and robotics level.
- A hierarchical online automated planning method is present to solve the dynamic planning problem.
- We propose a ...
- research-articleSeptember 2024
AEGLR-Net: Attention enhanced global–local refined network for accurate detection of car body surface defects
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102806Highlights- An AEGLR-Net is proposed to detect defects on car body surfaces, addressing the significant challenge posed by complex backgrounds to automated defect detection.
- An adaptive Transformer–CNN tandem backbone is proposed to capture local ...
The complex background on the car body surface, such as the orange peel-like texture and shiny metallic powder, poses a considerable challenge to automated defect detection. Two mainstream methods are currently used to tackle this challenge: ...
- research-articleSeptember 2024
Hybrid CNN-LSTM model driven image segmentation and roughness prediction for tool condition assessment with heterogeneous data
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102796Highlights- A hybrid model is proposed directly utilizing tool images to predict surface roughness on machined parts for tool condition assessment.
- Pruning based on the UNet3+ architecture eliminates redundant structures and reduces model ...
Worn tools might lead to substantial detrimental implications on the surface integrity of workpieces for precision/ultra-precision machining. Most previous research has heavily relied on singular information, which might not be appropriate enough ...
- research-articleSeptember 2024
Development of a new suction gripper for gripping under-constrained workpiece with minimized contact
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102794Highlights- We develop a new suction gripper for minimized-contact gripping.
- The gripper uses feedback control to stabilize the workpiece's motion.
- Zero-stiffness suction units are used to overcome negative-stiffness effect.
When gripping delicate workpieces such as a silicon wafer, contact should be minimized to protect the workpiece. Some existing suction grippers can grip a workpiece with only three contact points on its upper surface, which is minimal to fully ...
- research-articleSeptember 2024
Robot base position and spacecraft cabin angle optimization via homogeneous stiffness domain index with nonlinear stiffness characteristics
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102793Highlights- A robot nonlinear stiffness model considering the gravity compensator mechanism is established and identified.
- A machining performance index HSD is proposed to evaluate overall stiffness values and stiffness fluctuation for all robot ...
The use of mobile robots for machining large components has received considerable research interest for the application of industrial robots in the machinery manufacturing sector. However, the low structural stiffness of industrial robots can ...
- research-articleSeptember 2024
From cloud manufacturing to cloud–edge collaborative manufacturing
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 90, Issue Chttps://doi.org/10.1016/j.rcim.2024.102790Highlights- The definition and basic architecture of cloud-edge collaborative manufacturing system are given.
- The operation logic, main features and key technologies of the cloud-edge collaborative manufacturing system are preliminarily studied.
In recent years, the rapid development of information technology represented by the new generation of artificial intelligence has brought unprecedented impacts, challenges, and opportunities to the transformation of the manufacturing industry and ...
- research-articleFebruary 2024
Teleoperation mode and control strategy for the machining of large casting parts
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 86, Issue Chttps://doi.org/10.1016/j.rcim.2023.102690Highlights- A modified master-slave control structure is presented.
- A hierarchical control strategy based on VMM and EC is proposed.
- The control laws of master-slave mapping and interactive force are designed.
- Systematic machining ...
Residual features of large casting parts in small batch are random in distribution, size, and shape. The manual mode is inefficient, dangerous, and labor-intensive. The automatic mode spends a lot of time on trajectory planning and programming. ...
- research-articleFebruary 2024
An iterative path compensation method for double-sided robotic roller forming of compact thin-walled profiles
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 86, Issue Chttps://doi.org/10.1016/j.rcim.2023.102689Highlights- A novel laser-assisted double-sided robotic roller forming process is developed.
- An iterative path compensation method is proposed to optimize the tool trajectory.
- The convergence of optimized compensation values is obtained by ...
High-precision robotic forming of ultrahigh strength materials is challenging due to the significant stiffness deformation of industrial robots. In this work, a double-sided robotic roller forming process was developed to form ultrahigh strength ...
- research-articleFebruary 2024
A novel method based on deep reinforcement learning for machining process route planning
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 86, Issue Chttps://doi.org/10.1016/j.rcim.2023.102688Highlights- Introduce a novel deep reinforcement learning-based machining process route planning approach that is able to generate efficient processing routes while ensuring adherence to the processing rules.
- Address some specific challenges ...
Efficient and high-quality machining process route planning is crucial in the realm of manufacturing. Traditional methods heavily rely on human-computer interaction, which can be inefficient. To enhance the efficiency of machining process route ...
- research-articleFebruary 2024
Efficient five-axis scanning-inspection path planning for complex freeform surfaces
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 86, Issue Chttps://doi.org/10.1016/j.rcim.2023.102687Highlights- A novel automatic sweep scanning path planning method for freeform surfaces is proposed.
- The optimal planning of inspection paths is found by solving a set-covering problem.
- The number of total inspection paths is significantly ...
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 ...
- research-articleFebruary 2024
A local POE-based self-calibration method using position and distance constraints for collaborative robots
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 86, Issue Chttps://doi.org/10.1016/j.rcim.2023.102685AbstractCollaborative robots are designed to not only work alongside humans but also adapt to new tasks quickly. To improve their absolute accuracy, self-calibration methods utilizing portable measurement devices are cost-effective solutions. Based on ...
Highlights- Formulation of a new self-calibration model based on Local POE formula.
- Development of a new self-calibration device with position and distance constraints.
- Reduction of Aubo i5’s position error from 4 . 11 mm to 0 . 36 mm after ...
- research-articleFebruary 2024
Manipulator joint fault localization for intelligent flexible manufacturing based on reinforcement learning and robot dynamics
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 86, Issue Chttps://doi.org/10.1016/j.rcim.2023.102684Highlights- Reinforcement learning can train a fault detection model that is sensitive to the consistency of different working conditions.
- Reorganizing boundaries to form longer input sequences can simulate richer samples.
- The numerical ...
This article proposes a new method to address the challenge of remote monitoring in intelligent flexible manufacturing systems. Specifically, we propose a multi working condition fault localization algorithm for robotic arms, which eliminates the ...