Programming multiconfiguration into bistable robots via traversable energy landscapes

Clicks: 1
ID: 332464
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #374 of 383 articles by views in national science review

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 383 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Soft robots using bistable structures often face limitations due to a fixed energy landscape, which restricts their configurational adaptability and functional diversity. To address this challenge, we introduce an energy-landscape-traversing (ELTra) bistable structure that enables on-demand reconstruction of the energy landscape, continuous stabilization of intermediate states, and precise modulation of energy release, capabilities that are challenging to achieve with conventional systems. Based on the established theoretical model of the ELTra bistable structure, we developed an ELTraBot prototype that features four distinct configurations, including two intermediate-stable configurations absent in traditional bistable structures. We further demonstrated the ELTraBot’s remarkable versatility, allowing it to perform nine distinct functions by leveraging its reconfigurable states. This design reduces the need for complex dedicated hardware and significantly simplifies design. Our work establishes a new design method for multifunctional, reconfigurable robots by advancing beyond binary bistability into the realm of continuously programmable materials.
Reference Key
openalex_W7221966212 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Xin Tong, Qinghua Yu, Tianle Zhang, Chengru Jiang, Yangkang Jiang, Yang Yang, Dong Wang, Guoying Gu, Yingtian Li
Journal national science review
Year 2026
DOI
10.1093/nsr/nwag643
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.