Challenges and Outlook in Robotic Manipulation of Deformable Objects

Jihong Zhu, Andrea Cherubini, Claire Dune, David Navarro-Alarcon, Farshid Alambeigi, Dmitry Berenson, Fanny Ficuciello, Kensuke Harada, Jens Kober, Wenzhen Yuan, More Authors

Research output: Contribution to journalArticleScientificpeer-review

32 Citations (Scopus)
77 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)67-77
JournalIEEE Robotics and Automation Magazine
Volume29
Issue number3
DOIs
Publication statusPublished - 2022

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Grippers
  • Robot sensing systems
  • Robots
  • Sensors
  • Soft robotics
  • Strain
  • Task analysis

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