Tensegrity Robotics.

Journal: Soft robotics
Published Date:

Abstract

Numerous recent advances in robotics have been inspired by the biological principle of tensile integrity-or "tensegrity"-to achieve remarkable feats of dexterity and resilience. Tensegrity robots contain compliant networks of rigid struts and soft cables, allowing them to change their shape by adjusting their internal tension. Local rigidity along the struts provides support to carry electronics and scientific payloads, while global compliance enabled by the flexible interconnections of struts and cables allows a tensegrity to distribute impacts and prevent damage. Numerous techniques have been proposed for designing and simulating tensegrity robots, giving rise to a wide range of locomotion modes, including rolling, vibrating, hopping, and crawling. In this study, we review progress in the burgeoning field of tensegrity robotics, highlighting several emerging challenges, including automated design, state sensing, and kinodynamic motion planning.

Authors

  • Dylan S Shah
    Mechanical Engineering and Material Science, School of Engineering and Applied Science, Yale University, 9 Hillhouse Ave., New Haven, CT 06511, USA.
  • Joran W Booth
    School of Engineering and Applied Science, Yale University, New Haven, Connecticut, USA.
  • Robert L Baines
    School of Engineering and Applied Science, Yale University, New Haven, Connecticut, USA.
  • Kun Wang
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Massimo Vespignani
    KBR Wyle Services, Llc, NASA Ames Research Center, Moffett Field, California, USA.
  • Kostas Bekris
    Computer Science Department, Rutgers University, Piscataway, New Jersey, USA.
  • Rebecca Kramer-Bottiglio
    Mechanical Engineering and Material Science, School of Engineering and Applied Science, Yale University, 9 Hillhouse Ave., New Haven, CT 06511, USA. rebecca.kramer@yale.edu.