Výsledky vyhľadávania - Tactile-based object recognition algorithms

  1. 1

    Object Recognition Using Shape and Texture Tactile Information: A Fusion Network Based on Data Augmentation and Attention Mechanism Autor Wang, Bin, Li, Baojiang, Li, Liang, Zhang, Zhekai, Qiu, Shengjie, Wang, Haiyan, Wang, Xichao

    ISSN: 1939-1412, 2329-4051, 2329-4051
    Vydavateľské údaje: United States IEEE 01.01.2025
    Vydané v IEEE transactions on haptics (01.01.2025)
    “…Currently, most tactile-based object recognition algorithms focus on single shape or texture recognition…”
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    Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactile-Based Recognition Autor Soh, Harold, Demiris, Yiannis

    ISSN: 1939-1412, 2329-4051, 2329-4051
    Vydavateľské údaje: United States IEEE 01.10.2014
    Vydané v IEEE transactions on haptics (01.10.2014)
    “… In this work, we explore tactile-based object recognition with learners capable of incremental learning…”
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  3. 3

    A Tactile-Based Framework for Active Object Learning and Discrimination using Multimodal Robotic Skin Autor Kaboli, Mohsen, Di Feng, Kunpeng Yao, Lanillos, Pablo, Cheng, Gordon

    ISSN: 2377-3766, 2377-3766
    Vydavateľské údaje: IEEE 01.10.2017
    Vydané v IEEE robotics and automation letters (01.10.2017)
    “…In this letter, we propose a complete probabilistic tactile-based framework to enable robots to autonomously explore unknown workspaces and recognize objects based on their physical properties…”
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  4. 4

    Tactile-Based Object Recognition Using a Grasp-Centric Exploration Autor Roberge, Jean-Philippe, L'Ecuyer-Lapierre, Louis, Kwiatkowski, Jennifer, Nadeau, Philippe, Duchaine, Vincent

    ISSN: 2161-8089
    Vydavateľské údaje: IEEE 23.08.2021
    “… Our algorithm was able to recognize objects from a considerably…”
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  5. 5

    Tactile-Based Gripper Localization on 1-D Deformable Objects Autor Prigozin, Amit, Degani, Amir

    ISSN: 2161-8089
    Vydavateľské údaje: IEEE 23.08.2021
    “…As part of automation processes, robotic manipulators are occasionally required to assemble deformable objects, e.g…”
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  6. 6

    Visual–tactile object recognition of a soft gripper based on faster Region-based Convolutional Neural Network and machining learning algorithm Autor Jiao, Chenlei, Lian, Binbin, Wang, Zhe, Song, Yimin, Sun, Tao

    ISSN: 1729-8806, 1729-8814
    Vydavateľské údaje: London, England SAGE Publications 01.09.2020
    “…Object recognition is a prerequisite to control a soft gripper successfully grasping an unknown object…”
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    Tactile Object Recognition With Recurrent Neural Networks Through a Perceptive Soft Gripper Autor Donato, Enrico, Pelliccia, David, Hosseinzadeh, Matin, Amiri, Mahmood, Falotico, Egidio

    ISSN: 2377-3766, 2377-3766
    Vydavateľské údaje: Piscataway IEEE 01.07.2025
    Vydané v IEEE robotics and automation letters (01.07.2025)
    “… Our work introduces recurrent learning models for tactile-based object recognition, demonstrating comparable performance in virtual and real-world scenarios…”
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  8. 8

    Material recognition using tactile sensing Autor Kerr, Emmett, McGinnity, TM, Coleman, Sonya

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: New York Elsevier Ltd 15.03.2018
    Vydané v Expert systems with applications (15.03.2018)
    “…•The system outperforms humans in the task of material recognition. Identification of the material from which an object is made is of significant value for effective robotic grasping and manipulation…”
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  9. 9

    Tactile sensing in dexterous robot hands — Review Autor Kappassov, Zhanat, Corrales, Juan-Antonio, Perdereau, Véronique

    ISSN: 0921-8890, 1872-793X
    Vydavateľské údaje: Elsevier B.V 01.12.2015
    Vydané v Robotics and autonomous systems (01.12.2015)
    “… It provides information about forces of interaction and surface properties at points of contact between the robot fingers and the objects…”
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    Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments Autor Páez-Ubieta, Ignacio de Loyola, Castaño-Amorós, Julio, Puente, Santiago T., Gil, Pablo

    ISSN: 0921-0296, 1573-0409
    Vydavateľské údaje: Dordrecht Springer Netherlands 01.10.2023
    “… Finally, two tactile-based algorithms are implemented and then employed in order…”
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    Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments Autor Ignacio de Loyola Páez-Ubieta, Castaño-Amorós, Julio, Puente, Santiago T, Gil, Pablo

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 16.07.2024
    Vydané v arXiv.org (16.07.2024)
    “… Finally, two tactile-based algorithms are implemented and then employed in order…”
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    Recognition of complex surfaces based on multiscale temporal networks Autor Gao, Tianshi, Deng, Bin, Luo, Jiangtao, Wang, Jixuan, Wang, Jiang, Yi, Guosheng

    ISSN: 2642-2077
    Vydavateľské údaje: IEEE 16.05.2022
    “… However, tactile-based surface recognition is still an open challenge due to the lack of skin-comparable tactile sensing systems and smart pattern recognition algorithms…”
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    Fast and accurate object recognition based on tactile data by using Dendrite Net Autor Liang, Haonan, Gao, Tianshi, Jiangtao Luo, Tian Gao, Wang, Jiang, Deng, Bin

    ISSN: 2642-2077
    Vydavateľské údaje: IEEE 22.05.2023
    “… However, there is a lack of an intelligent object recognition algorithm based on tactile data with small storage space, fast computing speed, and high accuracy…”
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    Multi-modal robotic visual-tactile localisation and detection of surface cracks Autor Palermo, Francesca, Rincon-Ardila, Liz, Oh, Changjae, Althoefer, Kaspar, Poslad, Stefan, Venture, Gentiane, Farkhatdinov, Ildar

    ISSN: 2161-8089
    Vydavateľské údaje: IEEE 23.08.2021
    “… Offline and online experiments to compare vision only and combined vision and tactile based crack detection are demonstrated…”
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    Multimodal Bin Picking System with Compliant Tactile Sensor Arrays for Flexible Part Handling Autor Muller, Veit, Elkmann, Norbert

    ISSN: 2577-087X
    Vydavateľské údaje: IEEE 01.05.2019
    “… The tactile sensing augments vision-based picking approaches, thus supporting in-hand object recognition [1…”
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    Blind Bin Picking of Small Screws Through In-finger Manipulation With Compliant Robotic Fingers Autor Ishige, Matthew, Umedachi, Takuya, Ijiri, Yoshihisa, Taniguchi, Tadahiro, Kawahara, Yoshihiro

    ISSN: 2153-0866
    Vydavateľské údaje: IEEE 24.10.2020
    “… through manipulation in the fingers, for robotic picking. Based on this strategy, we developed a tactile-based screw bin-picking system…”
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    A comprehensive review of robot intelligent grasping based on tactile perception Autor Li, Tong, Yan, Yuhang, Yu, Chengshun, An, Jing, Wang, Yifan, Chen, Gang

    ISSN: 0736-5845
    Vydavateľské údaje: Elsevier Ltd 01.12.2024
    “… This paper primarily discusses the adaption of different types of tactile sensors in robotic grasping operations and grasping algorithms based…”
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    Ultra‐Sensitive Bio‐Polymer Iontronic Sensors for Object Recognition from Tactile Feedback Autor Cicek, Melih Ogeday, Durukan, Mete Batuhan, Yıldız, Bayram, Keskin, Deniz, Doganay, Doga, Çınar Aygün, Simge, Cakir, Murat Perit, Unalan, Husnu Emrah

    ISSN: 2365-709X, 2365-709X
    Vydavateľské údaje: 25.08.2023
    Vydané v Advanced materials technologies (25.08.2023)
    “… Smart glove sensors with 90% classification accuracy for object recognition are demonstrated using a tactile feedback algorithm. Cellulose…”
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    k-Means-Based Tactile Data Recognition Method for Sharp and Dangerous Objects for Robots Autor Yang, Jing, Cen, Shunyu, Zhang, Xiangyu, Luo, Honglin, Zhao, Taohong, Wei, Guangshu, Yu, Zukun, Li, Qinglang

    Vydavateľské údaje: IEEE 09.12.2022
    “… Then, a robot can analyze whether objects are sharp and dangerous through these tactile data. This study proposes a k-means algorithm-based tactile data recognition method for sharp and dangerous objects for robots…”
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    Using entropy for dimension reduction of tactile data Autor Schopfer, M., Pardowitz, M., Ritter, H.

    ISBN: 9781424448555, 1424448557
    Vydavateľské údaje: IEEE 01.06.2009
    “… This allows us to equip robots with sensing abilities similar to those of our human skin. This paper presents an approach to tactile-based recognition of objects and evaluates the utility of various feature extractors for tactile processing…”
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