Skip to main navigation Skip to search Skip to main content

Soft robotics: what's next in bioinspired design and applications of soft robots?

  • Cecilia Laschi
  • , Li Wen
  • , Fumiya Iida
  • , Arsen Abdulali
  • , Helmut Hauser
  • , Yifan Wang
  • , Ke Liu
  • , Leonardo Ricotti
  • , Matteo Cianchetti
  • , Kaspar Althoefer
  • , Pham Huy Nguyen
  • , Mirko Kovač
  • , Marcello Calisti
  • Department of Mechanical Engineering
  • National University of Singapore
  • Bio-Inspired Robotics Lab
  • University of Cambridge
  • University of Bristol
  • Nanyang Technological University
  • Department of Advanced Manufacturing and Robotics
  • Peking University
  • Sant'Anna School of Advanced Studies
  • Centre for Advanced Robotics @ Queen Mary (ARQ)
  • Queen Mary University of London
  • Imperial College London
  • Laboratory of Sustainability Robotics
  • Swiss Federal Laboratories for Materials Science and Technology (Empa)
  • Swiss Federal Institute of Technology Lausanne
  • Lincoln Institute for Agri-Food Technology
  • University of Lincoln

Research output: Contribution to journal › Review article › peer-review

Abstract

The field of soft robotics has shown unprecedented growth in research efforts, scientific achievements, and technological advancements. Bioinspiration and biomimetics have played an instrumental role in the birth and growth of soft robotics. What is next for this field? To promote soft robotics research to the next level and have a broader impact in robotics and engineering fields, in this roadmap, we argue that two research directions should be strengthened (i) more structured, formal methods and tools for designing and developing soft robots and bioinspired robots (ii) more concrete applications of bioinspired soft robots in diverse sectors of human activities. This article provides a roadmap for the design of bioinspired soft robots, the integration of soft robot systems, and their applications in industry and services. Scientists and experts describe the state-of-the art and the perspectives of bioinspired, model-informed design of soft robots, outlining the challenges in developing complex soft robotic systems, and applications of soft robots in diverse fields.

Original languageEnglish
JournalBioinspiration & biomimetics
Volume21
Issue number1
DOIs
StatePublished - 27 Feb 2026

Keywords

  • biohybrid
  • embodied intelligence
  • robotics
  • soft robotics

Cite this