دورية أكاديمية
Hard questions for soft robotics.
| العنوان: | Hard questions for soft robotics. |
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| المؤلفون: | Hawkes EW; Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA. ewhawkes@engineering.ucsb.edu., Majidi C; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA., Tolley MT; Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093, USA. |
| المصدر: | Science robotics [Sci Robot] 2021 Apr 28; Vol. 6 (53). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101733136 Publication Model: Print Cited Medium: Internet ISSN: 2470-9476 (Electronic) Linking ISSN: 24709476 NLM ISO Abbreviation: Sci Robot Subsets: PubMed not MEDLINE; MEDLINE |
| أسماء مطبوعة: | Original Publication: Washington, DC : American Association for the Advancement of Science, [2016]- |
| مستخلص: | The establishment of a new academic field is often characterized by a phase of rapid growth, as seen over the last decade in the field of soft robotics. However, such growth can be followed by an equally rapid decline if concerted efforts are not made by the community. Here, we argue that for soft robotics to take root and have impact in the next decade, we must move beyond "soft for soft's sake" and ensure that each study makes a meaningful contribution to the field and, ideally, to robotics and engineering more broadly. We present a three-tiered categorization to help researchers and reviewers evaluate work and guide studies toward higher levels of contribution. We ground this categorization with historical examples of soft solutions outside of robotics that were transformative. We believe that the proposed self-reflection is essential if soft robotics is to be an impactful field in the next decade, advancing robotics and engineering both within and beyond academia and creating soft solutions that are quantitatively superior to the current state of the art-soft, rigid, or otherwise. (Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.) |
| تواريخ الأحداث: | Date Created: 20210527 Date Completed: 20211129 Latest Revision: 20211129 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1126/scirobotics.abg6049 |
| PMID: | 34043571 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 2470-9476 |
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| DOI: | 10.1126/scirobotics.abg6049 |