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, Xiang LI, Jia Pan, Wenzhen Yuan, Michael Gienger

Research output: Journal article publicationJournal articleAcademic researchpeer-review

90 Citations (Scopus)

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
Number of pages11
JournalIEEE Robotics and Automation Magazine
Volume29
Issue number3
DOIs
Publication statusPublished - 1 Sept 2022

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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