Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Image texture analysis based on Gaussian Markov Random Fields
Texture analysis is one of the key techniques of image understanding and processing with widespread applications from low level image segmentation to high level object recognition.
Dharmagunawardhana, Chathurika
core
A robust adaptive wavelet-based method for classification of meningioma histology images [PDF]
Intra-class variability in the texture of samples is an important problem in the domain of histological image classification. This issue is inherent to the field due to the high complexity of histology image data.
Qureshi, Hammad A. +3 more
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3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun +3 more
wiley +1 more source
Hyperspectral colon tissue cell classification [PDF]
A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Nasir M. (Nasir Mahmood) +2 more
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This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction. [PDF]
Zhu H, Fang Q, Huang Y, Xu K.
europepmc +1 more source
A Two-view Learning Method on Procedural Texture Classification
PURPOSE: Procedural textures are normally generated from mathematical models and commonly used in computer graphics applications such as games and animations. Classification of procedural texture is very important for selecting proper generation models.
Yan Liu, Ying Gao, Junyu Dong, Lin Qi
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Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod +14 more
wiley +1 more source
Texture-based classification of sub-Antarctic vegetation communities on Heard Island
This study was the first to use high-resolution IKONOS imagery to classify vegetation communities on sub-Antarctic Heard Island. We focused on the use of texture measures, in addition to standard multispectral information, to improve the classification ...
Arko Lucieer (14742862) +2 more
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