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With the rise of deep learning models in the field of computer vision, new possibilities for their application in industrial processes proves to return great benefits. Nevertheless, the actual fit of machine learning for highly standardised…

计算机视觉与模式识别 · 计算机科学 2024-09-04 Jibinraj Antony , Florian Schlather , Georgij Safronov , Markus Schmitz , Kristof Van Laerhoven

New additive manufacturing methods are needed to realize more complex soft robots. One example is soft fluidic robotics, which exploits fluidic power and stiffness gradients. Porous structures are an interesting type for this approach, as…

机器人学 · 计算机科学 2022-10-27 Nick Willemstein , Herman van der Kooij , Ali Sadeghi

Additive manufacturing techniques enable the fabrication of functional microstructures with mechanical and chemical properties tailored to their intended use. One common technique is stereolithography, which has recently been augmented in…

Additive robotic construction of building-scale discrete bar structures, such as trusses and space frames, is increasingly attractive due to the potential improvements in efficiency, safety, and design possibilities. However, programming…

机器人学 · 计算机科学 2021-11-10 Yijiang Huang , Caelan Garrett , Ian Ting , Stefana Parascho , Caitlin Mueller

Most additive manufacturing processes today operate by printing voxels (3D pixels) serially point-by-point to build up a 3D part. In some more recently-developed techniques, for example optical printing methods such as projection…

This paper introduces a novel and general method to address the problem of using a general-purpose robot manipulator with a parallel gripper to wrap a deformable linear object (DLO), called a rope, around a rigid object, called a rod,…

机器人学 · 计算机科学 2023-04-12 Zhaoyuan Ma , Jing Xiao

The present research is developed into the realm of industrial design engineering and additive manufacturing by introducing a parametric design model and adaptive mechanical analysis for a new lattice structure, with a focus on 3D additive…

Directed energy deposition (DED), a metal additive manufacturing process, is highly susceptible to process-induced defects such as geometric deviations, lack of fusion, and poor surface finish. This work presents a build-height-synchronized…

光学 · 物理学 2026-01-14 Guanzhong Hu , Wenpan Li , Rujing Zha , Ping Guo

Ceramics are highly technical materials with properties of interest for multiple industries. Precisely because of their high chemical, thermal, and mechanical resistance, ceramics are difficult to mold into complex shapes. A possibility to…

The hot-rolling process is a critical stage in sheet metal production within the heavy steel industry. Traditionally, parameter adjustments such as sheet metal velocity and roll gap are performed manually, leading to inefficiencies and…

系统与控制 · 电气工程与系统科学 2025-03-18 Mostafa A. Mostafa , Mohamed Khaled , Abdelrahman Ali , Amr Mostafa , Mariam Mohamed , Omar Ahmed , Osama Khalil

Powder-based additive manufacturing techniques provide tools to construct intricate structures that are difficult to manufacture using conventional methods. In Laser Powder Bed Fusion, components are built by selectively melting specific…

信号处理 · 电气工程与系统科学 2021-02-08 Francis Ogoke , Amir Barati Farimani

The great advances of learning-based approaches in image processing and computer vision are largely based on deeply nested networks that compose linear transfer functions with suitable non-linearities. Interestingly, the most frequently…

计算机视觉与模式识别 · 计算机科学 2018-03-26 Peter Ochs , Tim Meinhardt , Laura Leal-Taixe , Michael Moeller

Robotic manipulation in complex scenes demands precise perception of task-relevant details, yet fixed or suboptimal viewpoints often impair fine-grained perception and induce occlusions, constraining imitation-learned policies. We present…

机器人学 · 计算机科学 2025-09-29 Yushan Liu , Shilong Mu , Xintao Chao , Zizhen Li , Yao Mu , Tianxing Chen , Shoujie Li , Chuqiao Lyu , Xiao-Ping Zhang , Wenbo Ding

Industrial robotic applications such as spraying, welding, and additive manufacturing frequently require fast, accurate, and uniform motion along a 3D spatial curve. To increase process throughput, some manufacturers propose a dual-robot…

In additive manufacturing (AM), particularly for laser-based metal AM, process optimization is crucial to the quality of products and the efficiency of production. The identification of optimal process parameters out of a vast parameter…

材料科学 · 物理学 2024-07-25 Xiao Shang , Evelyn Li , Ajay Talbot , Haitao Wen , Tianyi Lyu , Jiahui Zhang , Yu Zou

Addressing the uncertainty and variability in the quality of 3D printed metals can further the wide spread use of this technology. Process mapping for new alloys is crucial for determining optimal process parameters that consistently…

材料科学 · 物理学 2024-01-02 David Guirguis , Conrad Tucker , Jack Beuth

Optical aberrations of optical systems cause significant degradation of imaging quality. Aberration correction by sophisticated lens designs and special glass materials generally incurs high cost of manufacturing and the increase in the…

计算机视觉与模式识别 · 计算机科学 2023-04-13 Shuang Cui , Bingnan Wang , Quan Zheng

Wood-composite materials are widely used today as they homogenize humidity related directional deformations. Quantification of these deformations as coefficients is important for construction and engineering and topic of current research…

计算机视觉与模式识别 · 计算机科学 2018-02-14 Markus Hofinger , Thomas Pock , Thomas Moosbrugger

The rise in additive manufacturing comes with unique opportunities and challenges. Massive part customization and rapid design changes are made possible with additive manufacturing, however, manufacturing industries that desire the…

机器人学 · 计算机科学 2024-03-29 Joyce Xin-Yan Lim , Quang-Cuong Pham

A modified electron beam induced deposition method using a parallel beam of electrons is developed. The method relies on the build-up of surface potential on an insulating surface exposed to an electron beam. Presence of sharp edges on the…

材料科学 · 物理学 2009-11-13 Joysurya Basu , C. Barry Carter , R. Divakar , Vijay B. Shenoy , N. Ravishankar