Robotics and Computer-Integrated Manufacturing

• The cooperation performance as well as redundancy utilization of the cooperated system are improved. The coupled kinematics-dynamics model is constructed at ...

Real-time motion planning under position and torque constraints is a critical challenge for cooperative manipulator efficiency and safety operation. Real-time motion planning at the velocity level improves computation efficiency, ...

• A novel adaptive transfer particle swarm optimization algorithm is proposed based on the velocity. Directional manipulability measure (VDMAT-PSO), providing ...

In this paper, we proposed two novel algorithms to improve the operating accuracy and operating efficiency of the 7-DoF redundant manipulator. Firstly, an improved adaptive particle swarm optimization (APSO) algorithm is proposed to ...

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• Both Deep Q-Networks (DQN) and Dueling Deep Q-Networks (DDQN)-based algorithms for scheduling of decentralized robot services are proposed.

Cloud manufacturing is a service-oriented manufacturing model that offers manufacturing resources as cloud services. Robots are an important type of manufacturing resources. In cloud manufacturng, large-scale distributed robots are ...

• Challenging problems in the traditional repairing process are identified.
• This ...

Repair technologies have been considered as sustainable approaches due to their capability to restore value in a damaged component and bring it to like-new condition. However, in contrast to a manufacturing process benefiting from an ...

• This article focuses on a novel synchronous update method for digital twin workshop model with integrating learning approach.

In make-to-order manufacturing enterprises, accurate production progress (PP) prediction is an important basis for dynamic production process optimization and on-time delivery of orders. Digital twin technology offers an enabling tool ...

• The concept of reconfigurable flexible assembly line in variable product.
• The ...

To improve the efficiency and controllability of our previous proposed cross-category product assembly line, we design an assembly language (A-code) to express a product's assembly process. We further develop an IDE to describe ...

The fourth industrial revolution envisages the use of modern smart technologies to automate traditional manufacturing and industrial practices. However, industrial robots execute mostly pre-programmed jobs and are not able to face ...

• An autonomous industrial cell for flexible manufacturing using smart technologies.

• Continuous five-axis inspection path is generated for the surface with interior holes.

The five-axis sweep scanning approach is an emerging surface inspection technology which could tremendously boost the inspection efficiency through working in the way of continuous scanning. While inspecting the surfaces with multiple ...

Recently, the rapid development of digital twin (DT) technology has been regarded significant in Cyber-physical systems (CPS) promotion. Scholars are focusing on the theoretical architecture and implementing applications, in order to ...

• An architecture of IRDT are established for fusing processes and elements.
• A ...

Wire and arc additive manufacturing (WAAM) is an emerging manufacturing technology that is widely used in different manufacturing industries. To achieve fully automated production, WAAM requires a dependable, efficient, and automatic ...

• Propose a defect detection method in additive manufacturing based on deep learning.

Human–Robot Collaboration is a critical component of Industry 4.0, contributing to a transition towards more flexible production systems that are quickly adjustable to changing production requirements. This paper aims to increase the ...

• Implicit communication cues are crucial for effortless Human–Robot Collaboration.

With the emergence of Industry 5.0, the human-centric manufacturing paradigm requires manufacturing equipment (robots, etc.) interactively assist human workers to deal with dynamic and complex production tasks. To achieve symbiotic ...

• Introduced an AR-assisted system architecture for mutual-cognitive safe HRI.
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• A multiple source partial knowledge transfer method (MSPKT) is proposed for manufacturing system modelling.

Transfer learning has shown its attractiveness for manufacturing system modelling by leveraging previously acquired knowledge to assist in training the target model, whereas most techniques focus on single-source transfer settings. ...

Industrial energy consumption accounts for 50% of global use and manufacturers that invest in energy waste reduction strategies can have a significant impact on emission reduction while ensuring they operate within energy usage limits. ...

• A Cyber–Physical System for energy optimisation through automation of experimental design.

Cloud Manufacturing (CMfg) has gained significant attention owing to its capability in reshaping the cooperation paradigm among multiple geographically dispersed enterprises, which is conducive to handle a complex production task ...

• A transfer learning assisted search approach is proposed to optimize cloud service assembly tasks in Industrial Internet platform.

• A prediction and compensation approach of robot tracking error is developed by using a TCN model.

Industrial robots are widely used because of their high flexibility and low cost compared with CNC machine tools, but the low tracking accuracy limits their application in the field of high-precision manufacturing. To improve the ...

In the past few decades, more and more studies have begun to consider the impact of human factors on manufacturing systems. This paper studies a hybrid flow shop scheduling problem considering multi-skilled workers and fatigue factors. ...

• Worker fatigue and skill levels are considered in the modeling of hybrid flow shop.

• A postprocessing stage-based non-singular tool trajectory generation approach for a hybrid robot is proposed.

By taking a newly developed 5-DOF (degree of freedom) hybrid robot as an exemplar, this paper presents a novel and effective approach for non-singular tool trajectory generation. Based upon singularity analysis via inverse kinematics, ...

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• Multiple test arbors are used to calibrate the hybrid machine tool without orientation measurement.

Kinematic calibration is a necessary way to guarantee the accuracy of hybrid machine tools. The traditional calibration methods have high requirements for the measuring instruments and the measurement environment, and the measurement ...

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• A method of FSW constant plunge depth control based on online trajectory generation is proposed.

Robotic friction stir welding (RFSW) usually comes with a huge upsetting force, and the stiffness of the welding system distributes unevenly over the position, which leads to a large deviation of the plunge depth of the tool at the end ...

• The general framework of digital twin model update evaluation is proposed.
• Multi-...

Digital twin, as an effective means to realize the fusion between physical and virtual spaces, has attracted more and more attention in the past few years. Based on ultra-fidelity models, more accurate service, e.g. real-time ...

The premise of human–robot collaboration is that robots have adaptive trajectory planning strategies in hybrid work cell. The aim of this paper is to propose a new online collision avoidance trajectory planning algorithm for moderate ...

• An online trajectory planning algorithm for dynamic obstacles avoidance is proposed.

• Kinematic, stiffness and mass modeling of a parallel assembling robot is conducted.

Assembly in a confined space, such as the cabin of an aircraft or train, demands the assembling device to be with compact structure, satisfactory kinematics and excellent load carrying capability. A six degree-of-freedom (DoF) parallel ...

• A new force-depth model for robotic abrasive belt grinding is proposed considering the deformation of the contact wheel.

Robotic abrasive belt grinding has been successfully applied to the grinding and polishing of aerospace parts. However, due to the flexible characteristics of robotic abrasive belt grinding and the time-varying characteristics of the ...

• A personalised OM approach for complex products is proposed.
• A framework of ...

Based on the holistic data of product-service system (PSS) delivery processes, equipment portrait can be used to describe personalised user requirements and conduct targeted analysis on the performance of complex products. Therefore, a ...

• Introduced the key features and three phases of the LIDA cognitive-based Digital Twin (DT) architecture.

Affected by COVID-19, the maintenance process of machine tools is significantly hindered, while unmanned maintenance becomes an emerging trend in such background. So far, three challenges, namely, the dependence on maintenance experts, ...

Assembly affects the product's performance and reliability directly. The current assembly method based on geometric deviation quantity controlling, cannot guarantee the physical performance for complex aeronautical thin-walled ...

• This review introduced the comprehensive background of robot-assisted polishing.

Nowadays, precision components have been extensively used in various industries such as biomedicine, photonics, and optics. To achieve nanometric surface roughness, high-precision polishing is mandatory. Compared with the conventional ...