Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Linear object"'
Autor:
T. V. Bobrova, E. A. Pokalyukhina
Publikováno v:
Вестник СибАДИ, Vol 20, Iss 6, Pp 774-785 (2024)
Introduction. The experience of Russian computer companies in the field of information modelling technologies (IMT) in construction is analyzed. The attention to the role of standardization and classification of construction information (CSI) for cod
Externí odkaz:
https://doaj.org/article/571490c8090941faaaf08a709caba29c
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 16, Iss 1, Pp 257-272 (2023)
Our research group has been focusing on the automation of string tying-untying operations by a robot. In this paper, shape abstraction data of a string named Face-list and an operation planning method with Face-list are proposed. In our planning meth
Externí odkaz:
https://doaj.org/article/de9b73dd1a8245859dc673c061460c3f
Akademický článek
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Akademický článek
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Autor:
Taohan Wang, Yuji Yamakawa
Publikováno v:
Sensors, Vol 23, Iss 12, p 5721 (2023)
This paper presents a high-speed skeletonization algorithm for detecting the skeletons of linear objects from their binary images. The primary objective of our research is to achieve rapid extraction of the skeletons from binary images while maintain
Externí odkaz:
https://doaj.org/article/15e6e901d19543068bf8f2b9352d948a
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6462 (2023)
The mounting of pre-assembled cables with electrical connectors is mainly carried out manually in industry today. An exemplary application is the interconnection of battery modules. Automation of such assembly tasks offers the potential for increasin
Externí odkaz:
https://doaj.org/article/567ac86fb0ec4edea21b0c97f2363306
Real-Time Occlusion-Robust Deformable Linear Object Tracking With Model-Based Gaussian Mixture Model
Autor:
Taohan Wang, Yuji Yamakawa
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Tracking and manipulating deformable linear objects (DLOs) has great potential in the industrial world. However, estimating the object's state is crucial and challenging, especially when dealing with heavy occlusion situations and physical properties
Externí odkaz:
https://doaj.org/article/8f94922a99bc44659edd82d9b0c1ad6d
Autor:
Riccardo Zanella, Gianluca Palli
Publikováno v:
IEEE Access, Vol 9, Pp 138296-138306 (2021)
In this work, the robotic manipulation of a highly Deformable Linear Object (DLO) is addressed by means of a sequence of pick-and-drop primitives driven by visual data. A decision making process learns the optimal grasping location exploiting deep Q-
Externí odkaz:
https://doaj.org/article/baf9d7a7abfb46e5be56311d72802e06
Publikováno v:
ROBOMECH Journal, Vol 7, Iss 1, Pp 1-17 (2020)
Abstract We propose a method to realize the dynamic manipulation of a string with unknown characteristics via a high-speed robot arm. We use a mass-spring-damper model for the string and repeat three steps: motion generation, real manipulation, and p
Externí odkaz:
https://doaj.org/article/75a34311ca0b4c74816633e335b85858
Autor:
Omid Aghajanzadeh, Miguel Aranda, Juan Antonio Corrales Ramon, Christophe Cariou, Roland Lenain, Youcef Mezouar
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
This paper addresses the general problem of deformable linear object manipulation. The main application we consider is in the field of agriculture, for plant grasping, but may have interests in other tasks such as human daily activities and industria
Externí odkaz:
https://doaj.org/article/f0d70db059f0490d8cc3623c40e3e8f1