Challenges and Outlook in Robotic Manipulation of Deformable Objects

Journal Article (2022)
Author(s)

Jihong Zhu (TU Delft - Mechanical Engineering)

Andrea Cherubini (Université Montpellier II)

Claire Dune (Université de Toulon)

David Navarro-Alarcon (The Hong Kong Polytechnic University)

Farshid Alambeigi (The University of Texas at Austin)

Dmitry Berenson (University of Michigan)

Fanny Ficuciello (Università degli Studi di Napoli Federico II)

Kensuke Harada (Osaka University)

Jens Kober (TU Delft - Mechanical Engineering)

Wenzhen Yuan (Carnegie Mellon University)

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Research Group
Learning & Autonomous Control
DOI related publication
https://doi.org/10.1109/MRA.2022.3147415 Final published version
More Info
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Publication Year
2022
Language
English
Research Group
Learning & Autonomous Control
Issue number
3
Volume number
29
Pages (from-to)
67-77
Downloads counter
448
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Institutional Repository
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Abstract

Deformable object manipulation (DOM) is an emerging research problem in robotics. The ability to manipulate deformable objects endows robots with higher autonomy and promises new applications in the industrial, services, and health-care sectors. However, compared to rigid object manipulation, the manipulation of deformable objects is considerably more complex and is still an open research problem. Addressing DOM challenges demands breakthroughs in almost all aspects of robotics: hardware design, sensing, (deformation) modeling, planning, and control. In this article, we review recent advances and highlight the main challenges when considering deformation in each subfield. A particular focus of our article lies in the discussions of these challenges and proposing future directions of research.

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