Multi-Objective Approach to Automated Fixture Synthesis Incorporating Deep Neural Network for Deformation Evaluation
- A multi-objective approach for fixture synthesis in a point-set domain.
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In machining, the synthesis of a fixturing schema significantly impacts the accuracy of the final product. Moreover, A robust and automatic configuration of fixture elements can reduce production costs and eliminate the need for expert ...
Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition
- Lequn Chen,
- Guijun Bi,
- Xiling Yao,
- Chaolin Tan,
- Jinlong Su,
- Nicholas Poh Huat Ng,
- Youxiang Chew,
- Kui Liu,
- Seung Ki Moon
- A multisensor fusion-based digital twin (MFDT) was developed for localized quality prediction in the robotic laser-direct energy deposition (L-DED).
Early detection of defects, such as keyhole pores and cracks is crucial in laser-directed energy deposition (L-DED) additive manufacturing (AM) to prevent build failures. However, the complex melt pool behaviour cannot be adequately ...
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Bionic digital brain realizing the digital twin-cutting process
- Bionic digital brain as the core of the digital twin-cutting process framework is proposed.
A digital twin (DT) is an effective means of achieving physical and information fusion and has great potential for achieving a new paradigm of cutting process (CP) intelligence. This paper traces the relevant studies of digital ...
Multi-objective adaptive trajectory optimization for industrial robot based on acceleration continuity constraint
- A spatial mapping method is proposed to unify constraint space, planning space and solution space.
In noncontact machining, such as welding and spraying, running efficiency and smoothness have been a bottleneck problem in trajectory optimisation of industrial robots. When the dynamic and mechanical properties of robots are fully ...
Improved genetic algorithm based on multi-layer encoding approach for integrated process planning and scheduling problem
- An improved genetic algorithm based on multi-layer encoding is proposed to solve the integrated process planning and scheduling (IPPS) problem.
Integrated process planning and scheduling (IPPS) is of great significance for modern manufacturing enterprises to achieve high efficiency in manufacturing and maximize resource utilization. In this paper, the integration strategy and ...
Adaptive hierarchical positioning error compensation for long-term service of industrial robots based on incremental learning with fixed-length memory window and incremental model reconstruction
- An active evaluating mechanism is established to characterize the change of error level by the change of pose coordinates, as well as to actively verify, ...
Industrial robots have been extensively used in industry, however, geometric errors mainly caused by connecting rod parameter error and non-geometric errors caused by deflection and friction, etc., limit its application in high-...
Meta-model-based shop-floor digital twin architecture, modeling and application
- A meta-model-based Shop-floor digital twin (SDT) construction approach and comprehensive architecture are proposed.
Digital twin is regarded as the virtual counterpart of physical entities, which can mirror the physical behavior and performance. Digital twin technology provides strong support for the achievement of cyber-physical system and ...
A versatile interaction framework for robot programming based on hand gestures and poses
This paper proposes a framework for industrial and collaborative robot programming based on the integration of hand gestures and poses. The framework allows operators to control the robot via both End-Effector (EE) and joint movements ...
Highlights
- Cognitive psychology-based hand gesture design reduces operators’ reaction time.
Digital twin-enabled grasp outcomes assessment for unknown objects using visual-tactile fusion perception
- An end-to-end grasp stability evaluation network that uses local visual and tactile inputs is proposed.
Humans can instinctively predict whether a given grasp will be successful through visual and rich haptic feedback. Towards the next generation of smart robotic manufacturing, robots must be equipped with similar capabilities to cope ...
Cloud service composition of collaborative manufacturing in main manufacturer-suppliers mode for aviation equipment
- The MSCM-SC model is firstly proposed for SC of aviation manufacturing.
- The ...
Manufacturing of aviation equipment is characterized by long R&D cycles, multi-agent collaborations, and high technical difficulties. At present, the main manufacturer-suppliers (M-S) mode is mainly used for the supplier cooperative ...
One-shot, integrated positioning for welding initial points via co-mapping of cross and parallel stripes
- The main contributions of this paper are as follows:.
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Robotic welding is gradually advancing towards intelligent integrated welding with integration of different seam types. In this process, the initial point positioning of weld seams is a foremost technique for ensuring a smooth ...
The rapid construction method of the digital twin polymorphic model for discrete manufacturing workshop
- A method for object-oriented Functional Components (FC)construction was suggested. The standardization and modularization of FC were achieved by ...
The modeling process is resource-intensive, time-consuming, and expensive due to the large number and variety of production and auxiliary equipment in discrete manufacturing plants. The popular twin-model construction method based on a ...
Optimization-based non-equidistant toolpath planning for robotic additive manufacturing with non-underfill orientation
- Yunan Wang,
- Chuxiong Hu,
- Ze Wang,
- Shize Lin,
- Ziyan Zhao,
- Wenxiang Zhao,
- Kehui Hu,
- Zhongyi Huang,
- Yu Zhu,
- Zhigang Lu
Additive manufacturing (AM) technology has achieved universal application in a great number of fields, such as aerospace, medicine, and military industry. As a significant factor causing weak mechanical properties and part flaws, ...
Highlights
- An optimization-based non-equidistant toolpath for 3D printing under theoretical proof.
An integrated control strategy for simultaneous robot assignment, tool change and preventive maintenance scheduling using Heterogeneous Graph Neural Network
There has been a leap in the field of smart manufacturing with the advancement of automation systems, robotic technology, big data analytics, and state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) algorithms. Three ...
Highlights
- Production, maintenance, and quality need to be controlled simultaneously.
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Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels
- Worker fatigue and skill levels are considered in the modeling of hybrid flow shop.
In real-life manufacturing systems, production management is often affected by urgent demands and unexpected interruptions, such as new job insertions, machine breakdowns and operator unavailability. In this context, agent-based ...
Design and implementation of a 6-DOF robot flexible bending system
- A novel physical prototype of the 6-DOF RFB system was designed and established.
This study proposed a new design, analytical algorithms, and control of a novel 6-DOF robot flexible bending (RFB) system to manufacture bending components with complex spatial structures. First, a novel 6-DOF RFB system was designed ...
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An efficient calibration method for serial industrial robots based on kinematics decomposition and equivalent systems
- The original robot is divided into three sub-robots through kinematics decomposition.
Calibration of the serial industrial robot with large workspace usually requires a time-consuming measurement task due to the exponential growth of measurement configurations with respect to degrees of freedom (DOFs). To improve ...
Production logistics digital twins: Research profiling, application, challenges and opportunities
In the era of Industry 4.0, Production Logistic Digital Twins (PLDTs) have garnered remarkable attention from both academic and industrial communities. This is evident from the growing number of research publications on PLDTs in ...
Difficulty and complexity definitions for assembly task allocation and assignment in human–robot collaborations: A review
- Takuya Kiyokawa,
- Naoki Shirakura,
- Zhenting Wang,
- Natsuki Yamanobe,
- Ixchel G. Ramirez-Alpizar,
- Weiwei Wan,
- Kensuke Harada
This paper presents a literature review on the different aspects of task allocation and assignment problems in human–robot collaboration (HRC) tasks in industrial assembly environments. In future advanced industrial environments, ...