Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95535
Title: | Vision-based manipulation of deformable and rigid objects using subspace projections of 2D contours | Authors: | Zhu, J Navarro-Alarcon, D Passama, R Cherubini, A |
Issue Date: | Aug-2021 | Source: | Robotics and autonomous systems, Aug. 2021, v. 142, 103798 | Abstract: | This paper proposes a unified vision-based manipulation framework using image contours of deformable/rigid objects. Instead of explicitly defining the features by geometries or functions, the robot automatically learns the visual features from processed vision data. Our method simultaneously generates – from the same data – both visual features and the interaction matrix that relates them to the robot control inputs. Extraction of the feature vector and control commands is done online and adaptively, and requires little data for initialization. Our method allows the robot to manipulate an object without knowing whether it is rigid or deformable. To validate our approach, we conduct numerical simulations and experiments with both deformable and rigid objects. | Keywords: | Deformable object manipulation Sensor-based control Visual servoing |
Publisher: | Elsevier | Journal: | Robotics and autonomous systems | ISSN: | 0921-8890 | DOI: | 10.1016/j.robot.2021.103798 | Rights: | © 2021 Published by Elsevier B.V. © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Zhu, J., Navarro-Alarcon, D., Passama, R., & Cherubini, A. (2021). Vision-based manipulation of deformable and rigid objects using subspace projections of 2D contours. Robotics and Autonomous Systems, 142, 103798 is available at https://doi.org/10.1016/j.robot.2021.103798. |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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NavarroAlarcon_Vision-Based_Manipulation_Deformable.pdf | Pre-Published version | 8.11 MB | Adobe PDF | View/Open |
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