Suchergebnisse - Tactile-based object recognition algorithms

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

“… 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 von Soh, Harold, Demiris, Yiannis

“… In this work, we explore tactile-based object recognition with learners capable of incremental learning …”
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A Tactile-Based Framework for Active Object Learning and Discrimination using Multimodal Robotic Skin von Kaboli, Mohsen, Di Feng, Kunpeng Yao, Lanillos, Pablo, Cheng, Gordon

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

“… Our algorithm was able to recognize objects from a considerably …”
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Tactile-Based Gripper Localization on 1-D Deformable Objects von Prigozin, Amit, Degani, Amir

“… As part of automation processes, robotic manipulators are occasionally required to assemble deformable objects, e.g …”
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Visual–tactile object recognition of a soft gripper based on faster Region-based Convolutional Neural Network and machining learning algorithm von Jiao, Chenlei, Lian, Binbin, Wang, Zhe, Song, Yimin, Sun, Tao

“… 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 von Donato, Enrico, Pelliccia, David, Hosseinzadeh, Matin, Amiri, Mahmood, Falotico, Egidio

“… Our work introduces recurrent learning models for tactile-based object recognition, demonstrating comparable performance in virtual and real-world scenarios …”
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Material recognition using tactile sensing von Kerr, Emmett, McGinnity, TM, Coleman, Sonya

“… •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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Tactile sensing in dexterous robot hands — Review von Kappassov, Zhanat, Corrales, Juan-Antonio, Perdereau, Véronique

“… 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 von Páez-Ubieta, Ignacio de Loyola, Castaño-Amorós, Julio, Puente, Santiago T., Gil, Pablo

“… 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 von Ignacio de Loyola Páez-Ubieta, Castaño-Amorós, Julio, Puente, Santiago T, Gil, Pablo

“… 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 von Gao, Tianshi, Deng, Bin, Luo, Jiangtao, Wang, Jixuan, Wang, Jiang, Yi, Guosheng

“… 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 von Liang, Haonan, Gao, Tianshi, Jiangtao Luo, Tian Gao, Wang, Jiang, Deng, Bin

“… 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 von Palermo, Francesca, Rincon-Ardila, Liz, Oh, Changjae, Althoefer, Kaspar, Poslad, Stefan, Venture, Gentiane, Farkhatdinov, Ildar

“… 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 von Muller, Veit, Elkmann, Norbert

“… 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 von Ishige, Matthew, Umedachi, Takuya, Ijiri, Yoshihisa, Taniguchi, Tadahiro, Kawahara, Yoshihiro

“… 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 von Li, Tong, Yan, Yuhang, Yu, Chengshun, An, Jing, Wang, Yifan, Chen, Gang

“… 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 von Cicek, Melih Ogeday, Durukan, Mete Batuhan, Yıldız, Bayram, Keskin, Deniz, Doganay, Doga, Çınar Aygün, Simge, Cakir, Murat Perit, Unalan, Husnu Emrah

“… 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 von Yang, Jing, Cen, Shunyu, Zhang, Xiangyu, Luo, Honglin, Zhao, Taohong, Wei, Guangshu, Yu, Zukun, Li, Qinglang

“… 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 von Schopfer, M., Pardowitz, M., Ritter, H.

“… 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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