Biodegradable origami enables closed-loop sustainable robotic systems
Robots are increasingly integral across various sectors due to their efficiency and superior capabilities, which enable performance beyond human potential. However, the development of robotic systems often conflicts with the sustainable development goals set by the United Nations, as they generate considerable nondegradable waste and organic/inorganic pollutants throughout their life cycle. In this paper, we introduce a dual closed-loop robotic system that integrates biodegradable, sustainable materials such as plasticized cellulose films and NaCl-infused ionic conductive gelatin organogels. These materials undergo a closed-loop ecological cycle from processing to biodegradation, contributing to new growth, while the self-sensing, origami-based robot supports a seamless human-in-the-loop teleoperation system. This innovative approach represents a paradigm shift in the application of soft robotic systems, offering a path toward a more sustainable future by aligning advanced robotic functionalities with environmental stewardship.
Authors
- Yunjie Wang (ORCID: https://orcid.org/0000-0002-3080-5518)
- Shaoru Cheng
- Feng Zhai (ORCID: https://orcid.org/0000-0002-3425-1698)
- Jingyang Zhao (ORCID: https://orcid.org/0009-0000-5708-9518)
- Wei Yan (ORCID: https://orcid.org/0000-0002-8150-1194)
- Meng Yao (ORCID: https://orcid.org/0000-0002-5916-0629)
- Luoqian Emu
- Hanqing Jiang (ORCID: https://orcid.org/0000-0002-1947-4420)
- Lei Wang (ORCID: https://orcid.org/0000-0003-4128-687X)
- Changyu Xu (ORCID: https://orcid.org/0000-0002-5771-3664)
- Yanlin Zhang (ORCID: https://orcid.org/0009-0009-6767-9832)
- Zhuang Zhang (ORCID: https://orcid.org/0000-0002-3834-3477)
- Pingdong Wei
- Junqiang Lu
- M.-D. Tong
Institutions
- Zhejiang Normal University (CN)
- Shaoxing University (CN)
- Fudan University (CN)
- Westlake University (CN)
Publication Details
- Journal
- Science Advances
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1126/sciadv.ads0217
- Citations
- 29
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 20.69
Funders
- Westlake University