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A soft robot that navigates its environment through growth
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A class of soft robot can substantially and rapidly increase length from its tip and steer to navigate its environment.
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“These stresses corrode materials, disrupt electronics, and shorten operational lifespans (Hawkes et al., 2017; Lu et al., 2018; Zuniga and Fink, 2023).”
From Wetware network-based AI: a chemical approach to embodied cognition for robotics and artificial intelligence (2026) · cites this paper as Hawkes et al., 2017
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“extreme conditions such as high salinity, electromagnetic interference, and rapid temperature shifts can degrade performance.”
From Wetware network-based AI: a chemical approach to embodied cognition for robotics and artificial intelligence (2026) · cites this paper as Hawkes et al., 2017
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Cites
VI. The phenomena of rupture and flow in solids
Griffith, A. A. (1921) · Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1921.0006 · Cited by 11,052
Cosgrove, D. J. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1746 · Cited by 3,308
An analysis of irreversible plant cell elongation
Lockhart, J. A. (1965) · Journal of Theoretical Biology · doi:10.1016/0022-5193(65)90077-9 · Cited by 1,195
Principles of Animal Locomotion
Alexander, R. M. (2002) · doi:10.1515/9781400849512 · Cited by 1,151
Controlled Flight of a Biologically Inspired, Insect-Scale Robot
Ma, K. Y., Chirarattananon, P., Fuller, S. B., & Wood, R. J. (2013) · Science · doi:10.1126/science.1231806 · Cited by 1,136
Autonomous Soft Robotic Fish Capable of Escape Maneuvers Using Fluidic Elastomer Actuators
Marchese, A. D., Onal, C. D., & Rus, D. L. (2014) · Soft Robotics · doi:10.1089/soro.2013.0009 · Cited by 930
Cytoskeletal Dynamics and Transport in Growth Cone Motility and Axon Guidance
Dent, E. W., & Gertler, F. B. (2003) · Neuron · doi:10.1016/s0896-6273(03)00633-0 · Cited by 922
Nonholonomic Modeling of Needle Steering
Webster, R. J., III, Kim, J. S., Cowan, N. J., Chirikjian, G. S., & Okamura, A. M. (2006) · The International Journal of Robotics Research · doi:10.1177/0278364906065388 · Cited by 634
Self-citationANISOTROPIC EXPANSION OF THE PLANT CELL WALL
Baskin, T. I. (2005) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.20.082503.103053 · Cited by 566
Nonholonomic Modeling of Needle Steering
Webster, R. J., III, Cowan, N. J., Chirikjian, G. S., & Okamura, A. M. (2006) · Springer tracts in advanced robotics · doi:10.1007/11552246_4 · Cited by 527
Self-citation
Research works printed but not linked: 2
- J. S. Mehling M. A. Diftler M. Chu M. Valvo A minimally invasive tendril robot for in-space inspection in Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) (IEEE 2006) pp. 690–695.
- E. C. Bingham Fluidity and Plasticity (McGraw-Hill 1922).
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Metadata
- Authors
- Hawkes, E. W., Blumenschein, L. H., Greer, J. D., & Okamura, A. M.
- Affiliations
- University of California, Santa Barbara (US)
- Stanford University (US)
- Corresponding author
- Hawkes, Elliot W.
- Venue
- Science Robotics
- Published
- 2017-07-19
- Volume
- 2
- Issue
- 8
- ISSN
- 2470-9476 (ISSN-L)
- OpenAlex
- W2737491236
- Cited by
- 968
- References
- 40
- Citations by year
- 2026: 93 · 2025: 141 · 2024: 118 · 2023: 151 · 2022: 113 · 2021: 109 · 2020: 109 · 2019: 73 · 2018: 57 · 2017: 2
- FWCI
- 29.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.escholarship.org
- Locations
- Science Robotics (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Science Foundation (award334518, 1637446)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Locomotion and Control
- Keywords
- soft robots, pneumatic actuators, directional control, thin-walled vessels, pressurization, passive deformation, bio-inspired robotics
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