Robotics and Computer-Integrated Manufacturing

• A novel Digital Twin (DT) modeling method for the robotic machining of the large-scale component (LSC) based on knowledge graph (KG) and function block (FB) ...

Robotic machining is a potential method for machining large-scale components (LSCs) due to its low cost and high flexibility. However, the low stiffness of robots and complex machining process of LSCs result in a lack of alignment ...

• Human-robot collaboration for synchronised production-logistics in aircraft assembly.

The deployment of human-robot teams (HRTs) promises to realise the potential of each team member regarding their distinct abilities and combines efficiency and flexibility in manufacturing operations. However, enabling effective ...

In Industry 5.0, Digital Twins bring in flexibility and efficiency for smart manufacturing. Recently, the success of artificial intelligence techniques such as deep learning has led to their adoption in manufacturing and especially in ...

• Semi-supervised object detection with faster region-based convolutional network.

• Optimisation of the CNC program in terms of a feed rate is crucial and should take into account various factors, such as the cutting depth, width, spindle ...

In computer numerical control (CNC) machining, the tool feed rate is crucial for determining the machining time. It also affects the degree of tool wear and the final product quality. In a mass production line, the feed rate guides the ...

• The ROI quality can be assessed irrespective of categories under poor light exposure.

Lighting conditions can affect the performance of vision-based robots in manufacturing. This paper presents a predictive exposure control method that allows the acquisition of high-quality images in real time under poor lighting ...

• Autonomic computing services (self-protection, self-healing, self-configuration, self-optimization) support flexible and responsive behaviour of industrial ...

This paper presents a novel self-manageable architecture for industrial automation systems that combines multi-agent systems and IEC 61499 function block modeling approaches. A low-level self-manageable architecture model is proposed ...

Industrial Robots (IR) are currently employed in several production areas as they enable flexible automation and high productivity on a wide range of operations. The IR low positioning performance, however, has limited their use in ...

• A method to assess the position accuracy of industrial serial robots is provided.

• This work presents a new approach to compensate trajectory errors.
• The results ...

Currently, the use of industrial robots in the machining of large components in metallic materials of significant hardness is proliferating. The low rigidity of industrial robots is still the main conditioning for their use in ...

• A novel tool breakage monitoring method based on ACWGAN-GP was proposed.
• A ...

Tool breakage monitoring (TBM) during milling operations is crucial for ensuring workpiece quality and minimizing economic losses. Under the premise of sufficient training data with a balanced distribution, TBM methods based on ...

• The development of process planning software for DED-Arc, which can convert 3D graphics directly into a robot executable language.

Establishing manufacturability design criteria for multidimensional complex parts can significantly reduce the production cost, shorten the manufacturing cycle, and improve the production quality of directed energy deposition. ...

• Modal directionality of the milling robot end is proved.
• Cross FRFs can be ...

The end dynamic characteristics dominated by the milling robot's body structure play a crucial role in vibration control and chatter avoidance in robotic milling. As the excitation source, the milling force may exist in any direction ...

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• A framework incorporating RL with GNN is proposed to solve the RCPSP, and then further solved the RCPSP-RD. The scheduling process is transformed to ...

The resource-constrained project scheduling problem (RCPSP) is encountered in many fields, including manufacturing, supply chain, and construction. Nowadays, with the rapidly changing external environment and the emergence of new ...

• Encoding a one-dimensional signal into a two-dimensional signal through GAF increases the temporal information of the signal, improves the signal feature ...

A key aspect impacting the quality and efficiency of machining is the degree of tool wear. If the tool failure is not discovered in time, the quality of workpiece processing decreases, and even the machine tool itself may be harmed. To ...

• A dynamic identification and optimization strategy is proposed to quantify weight-sequences.

Industrial robots are widely used for milling complex parts in restricted spaces owing to their multiple degrees of freedom and flexible postures. To plan posture trajectory for robot machining with high precision under multiple ...

Industrial robots (IRs) are widely used to increase productivity and efficiency in manufacturing industries. Therefore, it is critical to reduce the energy consumption of IRs to maximize their use in polishing, assembly, welding, and ...

• This manuscript proposes BN-LSTM-based Energy Consumption Modeling Approach for an Industrial Robot Manipulator. The major contribution of the manuscript is ...

Human–robot manipulation of soft materials, such as fabrics, composites, and sheets of paper/cardboard, is a challenging operation that presents several relevant industrial applications. Estimating the deformation state of the ...

• One of the main challenges in Manipulating soft materials is estimating deformations.

Training robots in real-world environments can be challenging due to time and cost constraints. To overcome these limitations, robots can be trained in virtual environments using Reinforcement Learning (RL). However, this approach ...

• The increasing usage of robots cause the increase of programming time to adapt the arbitrary shapes of new products.

• Fabrication of variable stiffness joint via 4D printing.
• Simulation and ...

Nowadays, a wide range of robots are used in various fields, from car factories to assistant soft robots. In all these applications, effective control of the robot is vital to perform the tasks assigned to them. Soft robots and ...

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• An improved deep reinforcement learning algorithm-driven robot motion planning approach is proposed to calculate the optimal path to avoid potential ...

Industrial robots have emerged as pivotal components in the search for intelligent manufacturing equipment that can meet flexible and customized operational needs. Consequently, industrial robots have to frequently use motion planning ...

• The gantry robot system with collision-free path planning is established.
• The ...

In the shipbuilding industry, various workpieces are often produced in small batches. A new program must be written for new workpiece to be processed, which leads to the inefficiency of the traditional teaching programming method. In ...

Robotic manipulation is currently undergoing a profound paradigm shift due to the increasing needs for flexible manufacturing systems, and at the same time, because of the advances in enabling technologies such as sensing, learning, ...

• We show the potential of advanced learning methods on the e-Bike motor assembly.

• Digital-Twin model for custom metal forming process quality prediction was developed.

Customized metal forming products entail personalized requirements in terms of dimensions, materials, and other specifications, while the processing conditions involved are subject to dynamic changes. Digital-Twin (DT) predictive ...

• A new method for 6 degrees of freedom path optimization in robotic flank milling is proposed.

Robotic flank milling has outstanding advantages in machining large-scale slender surfaces. Currently, the paths for this process are mainly generated by optimizing redundant robot degrees of freedom (DoFs) on the basis of conventional ...

In recent years, brain-based technologies that capitalise on human abilities to facilitate human–system/robot interactions have been actively explored, especially in brain robotics. Brain–computer interfaces, as applications of this ...

• Carrying out a comprehensive survey on Human Digital Twin in the context of Industry 5.0.

Human-centricity, a core value of Industry 5.0, places humans in the center of production. It leads to the prioritization of human needs, spanning from health and safety to self-actualization and personal growth. The concept of the ...