The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A 3D-printed, functionally graded soft robot powered by combustion
Open accessAbstract
Making jack jump efficiently: In the future, soft-bodied robots may be able to squeeze into tight spaces or work in environments where they could be crushed. However, it is hard to ensure efficient power transmission in a soft-bodied device. One promising solution is to use explosions to drive the robot, using efficient weight-to-power energy sources. Using three-dimensional printing to fuse together multiple materials, Bartlett et al.built a combustion-powered robot. The robot has a rigid core that transitions to a soft exterior. They produced an efficient jumping robot in which the gradations in the hardness of the body materials also improved robustness. Science, this issue p.161
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Citations
Cites
Design, fabrication and control of soft robots
Rus, D., & Tolley, M. T. (2015) · Nature · doi:10.1038/nature14543 · Cited by 5,825
Self-citationNon-linear elastic deformations
Ogden, R. (1984) · Engineering Analysis with Boundary Elements · doi:10.1016/0955-7997(84)90049-3 · Cited by 3,489
Shepherd, R. F., Ilievski, F., Choi, W., Morin, S. A., Stokes, A. A., Mazzeo, A. D., Chen, X., Wang, M., & Whitesides, G. M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116564108 · Cited by 2,111
Self-citationSoft robotics: a bioinspired evolution in robotics
Kim, S., Laschi, C., & Trimmer, B. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.03.002 · Cited by 2,092
Soft Robotics: Biological Inspiration, State of the Art, and Future Research
Trivedi, D., Rahn, C. D., Kier, W. M., & Walker, I. D. (2008) · Applied Bionics and Biomechanics · doi:10.1080/11762320802557865 · Cited by 1,708
Non-linear elastic deformations
Ogden, R. W. (1984) · Engineering Analysis · doi:10.1016/0264-682x(84)90061-3 · Cited by 1,537
Ilievski, F., Mazzeo, A. D., Shepherd, R. F., Chen, X., & Whitesides, G. M. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201006464 · Cited by 1,381
Self-citationSoft Robotics: A Perspective—Current Trends and Prospects for the Future
Majidi, C. (2014) · Soft Robotics · doi:10.1089/soro.2013.0001 · Cited by 1,302
Self-Organization, Embodiment, and Biologically Inspired Robotics
Pfeifer, R., Lungarella, M., & Iida, F. (2007) · Science · doi:10.1126/science.1145803 · Cited by 1,227
A Resilient, Untethered Soft Robot
Tolley, M. T., Shepherd, R. F., Mosadegh, B., Galloway, K. C., Wehner, M., Karpelson, M., Wood, R. J., & Whitesides, G. M. (2014) · Soft Robotics · doi:10.1089/soro.2014.0008 · Cited by 1,089
Self-citation
Cited by
Additive manufacturing (3D printing): A review of materials, methods, applications and challenges
Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T. Q., & Hui, D. (2018) · Composites Part B: Engineering · doi:10.1016/j.compositesb.2018.02.012 · Cited by 8,431
Soft robotics: Technologies and systems pushing the boundaries of robot abilities
Laschi, C., Mazzolai, B., & Cianchetti, M. (2016) · Science Robotics · doi:10.1126/scirobotics.aah3690 · Cited by 1,570
The grand challenges of Science Robotics
Yang, G.-Z., Bellingham, J., Dupont, P. E., Fischer, P., Floridi, L., Full, R., Jacobstein, N., Kumar, V., McNutt, M., Merrifield, R., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aar7650 · Cited by 1,177
Self-citationMultimaterial 4D Printing with Tailorable Shape Memory Polymers
Ge, Q., Sakhaei, A. H., Lee, H., Dunn, C. K., Fang, N. X., & Dunn, M. L. (2016) · Scientific Reports · doi:10.1038/srep31110 · Cited by 1,160
Advances in 4D Printing: Materials and Applications
Kuang, X., Roach, D. J., Wu, J., Hamel, C. M., Ding, Z., Wang, T., Dunn, M. L., & Qi, H. J. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201805290 · Cited by 1,095
Metadata
- Authors
- Bartlett, N. W., Tolley, M. T., Overvelde, J. T. B., Weaver, J. C., Mosadegh, B., Bertoldi, K., Whitesides, G. M., & Wood, R. J.
- Venue
- Science
- Published
- 2015-07-10
- Volume
- 349
- Issue
- 6244
- Pages
- 161-165
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2163566443
- Cited by
- 1,052
- References
- 29
- FWCI
- 38.37
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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