The need for reproducible research in soft robotics
Journal Article
·
· Nature Machine Intelligence
[1];
[4];
- Eidgenoessische Technische Hochschule (ETH), Zurich (Switzerland)
- Arieca, Inc., Pittsburgh, PA (United States)
- National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Harvard Univ., Cambridge, MA (United States)
In recent years we have witnessed the rise of commercialization efforts for soft robotic technology, including soft grippers (Soft Robotics, Inc.), stretchable sensors (StretchSense, Inc. and Lightlace, Inc.), and platforms for human-robot interaction (Festo Inc., Meta Reality Labs, Toyota Research Institute, and Disney Research). However, commercialization as a whole lags the trends enjoyed by other robotic technology at equivalent points in their respective lifecycles.
- Research Organization:
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Grant/Contract Number:
- AC02-07CH11359
- OSTI ID:
- 2406207
- Report Number(s):
- FERMILAB-PUB--24-0323-AD; oai:inspirehep.net:2808475
- Journal Information:
- Nature Machine Intelligence, Journal Name: Nature Machine Intelligence Journal Issue: 7 Vol. 6; ISSN 2522-5839
- Publisher:
- Springer NatureCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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