中文
相关论文

相关论文: Fabric Defect Detection Using Vision-Based Tactile…

200 篇论文

Vision and touch are two of the important sensing modalities for humans and they offer complementary information for sensing the environment. Robots could also benefit from such multi-modal sensing ability. In this paper, addressing for the…

机器人学 · 计算机科学 2018-03-14 Shan Luo , Wenzhen Yuan , Edward Adelson , Anthony G. Cohn , Raul Fuentes

Tactile sensing is crucial in robotics and wearable devices for safe perception and interaction with the environment. Optical tactile sensors have emerged as promising solutions, as they are immune to electromagnetic interference and have…

Unsupervised texture anomaly detection has been a concerning topic in a vast amount of industrial processes. Patterned textures inspection, particularly in the context of fabric defect detection, is indeed a widely encountered use case.…

计算机视觉与模式识别 · 计算机科学 2024-01-05 Simon Thomine , Hichem Snoussi

In industrial fabric productions, automated real time systems are needed to find out the minor defects. It will save the cost by not transporting defected products and also would help in making compmay image of quality fabrics by sending…

计算机视觉与模式识别 · 计算机科学 2014-10-03 J. L. Raheja , B. Ajay , Ankit Chaudhary

Quality control at each stage of production in textile industry has become a key factor to retaining the existence in the highly competitive global market. Problems of manual fabric defect inspection are lack of accuracy and high time…

计算机视觉与模式识别 · 计算机科学 2014-05-26 Md. Tarek Habib , Rahat Hossain Faisal , M. Rokonuzzaman , Farruk Ahmed

In manufacturing processes, surface inspection is a key requirement for quality assessment and damage localization. Due to this, automated surface anomaly detection has become a promising area of research in various industrial inspection…

Surface inspection is a delicate process aimed at detecting fine defects, irregularities, and foreign substances at the tens of micrometers level, subsequently excluding products that do not meet the quality standards as defective.…

人机交互 · 计算机科学 2024-11-11 Takeru Kurokawa , Toshinobu Takei , Haruo Noma , Mitsuhito Ando

The tactile sensation of textiles is critical in determining the comfort of clothing. For remote use, such as online shopping, users cannot physically touch the textile of clothes, making it difficult to evaluate its tactile sensation.…

人机交互 · 计算机科学 2024-05-07 Takekazu Kitagishi , Yuichi Hiroi , Yuna Watanabe , Yuta Itoh , Jun Rekimoto

Tactile sensing represents a crucial technique that can enhance the performance of robotic manipulators in various tasks. This work presents a novel bioinspired neuromorphic vision-based tactile sensor that uses an event-based camera to…

机器人学 · 计算机科学 2024-03-18 Omar Faris , Mohammad I. Awad , Murana A. Awad , Yahya Zweiri , Kinda Khalaf

Estimation of tactile properties from vision, such as slipperiness or roughness, is important to effectively interact with the environment. These tactile properties help us decide which actions we should choose and how to perform them.…

机器人学 · 计算机科学 2019-07-10 Kuniyuki Takahashi , Jethro Tan

In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It consists of five…

计算机视觉与模式识别 · 计算机科学 2023-12-06 Imane Koulali , M. Taner Eskil

Tactile sensing has seen a rapid adoption with the advent of vision-based tactile sensors. Vision-based tactile sensors provide high resolution, compact and inexpensive data to perform precise in-hand manipulation and human-robot…

机器人学 · 计算机科学 2021-07-26 Arpit Agarwal , Tim Man , Wenzhen Yuan

Tactile sensing is essential to the human perception system, so as to robot. In this paper, we develop a novel optical-based tactile sensor "FingerVision" with effective signal processing algorithms. This sensor is composed of soft skin…

机器人学 · 计算机科学 2018-10-08 Yazhan Zhang , Zicheng Kan , Yu Alexander Tse , Yang Yang , Michael Yu Wang

Compliance is a critical parameter for describing objects in engineering, agriculture, and biomedical applications. Traditional compliance detection methods are limited by their lack of portability and scalability, rely on specialized,…

计算机视觉与模式识别 · 计算机科学 2026-04-29 Ziteng Li , Malte Kuhlmann , Ilana Nisky , Nicolás Navarro-Guerrero

We introduce a new class of vision-based sensor and associated algorithmic processes that combine visual imaging with high-resolution tactile sending, all in a uniform hardware and computational architecture. We demonstrate the sensor's…

We propose an optical tactile sensor using self-healing materials. The proposed tactile sensor consists of a structure that includes a diode, a phototransistor, and an optical waveguide made from self-healing materials. This design offers…

人机交互 · 计算机科学 2024-11-11 Seiichi Yamamoto , Hiroki Ishizuka , Sei Ikeda , Osamu Oshiro

While most tactile sensors rely on measuring pressure, insights from continuum mechanics suggest that measuring shear strain provides critical information for tactile sensing. In this work, we introduce an optical tactile sensing principle…

The importance of force perception in interacting with the environment was proven years ago. However, it is still a challenge to measure the contact force distribution accurately in real-time. In order to break through this predicament, we…

机器人学 · 计算机科学 2022-02-15 Lunwei Zhang , Yue Wang , Yao Jiang

Manipulation tasks often require robots to be continuously in contact with an object. Therefore tactile perception systems need to handle continuous contact data. Shear deformation causes the tactile sensor to output path-dependent readings…

机器人学 · 计算机科学 2021-03-09 Kirsty Aquilina , David A. W. Barton , Nathan F. Lepora

Haptic displays play an important role in enhancing the sense of presence in VR and telepresence. Displaying the tactile properties of fabrics has potential in the fashion industry, but there are difficulties in dynamically displaying…

人机交互 · 计算机科学 2024-05-07 Takekazu Kitagishi , Hirotaka Hiraki , Hiromi Nakamura , Yoshio Ishiguro , Jun Rekimoto