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A review on tensegrity structures-based robots

Journal

MECHANISM AND MACHINE THEORY
Volume 168, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mechmachtheory.2021.104571

Keywords

Robots; Rigid-flexible coupling; Tensegrity structures; Tensegrity robots

Funding

  1. National Natural Science Foundation of China [52005293]
  2. China Postdoctoral Science Foundation [2021T140405, 2020M682172]
  3. Open Project Program of Tianjin Key Laboratory of Aerospace Intelligent Equipment Technology, Tianjin Institute of Aerospace Mechanical and Electrical Equipment [TJYHZN2020KT003]

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Tensegrity structures, a combination of rigid and soft structures, provide valuable insights for the research of the new generation of robots. Despite limited practical applications, tensegrity structures-based robots have great potentials for the future.
Human-robot coexistence has become an important trend of the new generation of robots. Both rigid structures and soft structures have their own limitations in certain application scenarios. The tensegrity structure, which is widely used in the field of architecture and structural engineering, is a self-supporting and self-stressed spatial grid structure composed of discrete compression elements and continuous tension elements. This kind of structure combines the advantages of rigid structures and soft structures, and conforms to the natural evolutionary laws of creatures, providing helpful inspirations for the research of the new generation of robots. Tensegrity structures are being more and more widely used in robotics. The objective of this paper is to review the state-of-the-art of tensegrity structures-based robots and analyze the key techniques in aspects of design and fabrication, modeling and analysis, motion and controlling. Possible future applications of tensegrity robots are also prospected. Although there are still few actual applications in practice, tensegrity structures-based robots, as a unique rigid-flexible coupling structure, have great potentials in the future.

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