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Soft Robotics
Open accessAbstract
This description of “soft robotics” is not intended to be a conventional review, in the sense of a comprehensive technical summary of a developing field. Rather, its objective is to describe soft robotics as a new field—one that offers opportunities to chemists and materials scientists who like to make “things” and to work with macroscopic objects that move and exert force. It will give one (personal) view of what soft actuators and robots are, and how this class of soft devices fits into the more highly developed field of conventional “hard” robotics. It will also suggest how and why soft robotics is more than simply a minor technical “tweak” on hard robotics and propose a unique role for chemistry, and materials science, in this field. Soft robotics is, at its core, intellectually and technologically different from hard robotics, both because it has different objectives and uses and because it relies on the properties of materials to assume many of the roles played by sensors, actuators, and controllers in hard robotics.
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“The combination of soft robotics with e-skin can additionally provide the user with a safe, light, and low complexity mode of actuation without the high cognitive strain associated with its rigid and heavy counterpart.[33–35]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [34]
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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
Highly stretchable and tough hydrogels
Sun, J., Zhao, X., Illeperuma, W. R. K., Chaudhuri, O., Oh, K. H., Mooney, D. J., Vlassak, J. J., & Suo, Z. (2012) · Nature · doi:10.1038/nature11409 · Cited by 5,499
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Monolithic Microfabricated Valves and Pumps by Multilayer Soft Lithography
Unger, M., Chou, H.-P., Thorsen, T., Scherer, A., & Quake, S. R. (2000) · Science · doi:10.1126/science.288.5463.113 · Cited by 4,016
Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
Lipomi, D. J., Vosgueritchian, M., Tee, B. C.-K., Hellstrom, S. L., Lee, J. A., Fox, C. H., & Bao, Z. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.184 · Cited by 3,188
Shepherd, R. F., Ilievski, F., Choi, W., Morin, S. A., Stokes, A. A., Mazzeo, A. D., Chen, X., Wang, M. Y., & Whitesides, G. M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116564108 · Cited by 2,142
Self-citationAn integrated design and fabrication strategy for entirely soft, autonomous robots
Wehner, M. F., Truby, R. L., Fitzgerald, D. J., Mosadegh, B., Whitesides, G. M., Lewis, J. A., & Wood, R. J. (2016) · Nature · doi:10.1038/nature19100 · Cited by 2,139
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
Central pattern generators for locomotion control in animals and robots: A review
Ijspeert, A. J. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.03.014 · Cited by 1,896
Robot Analysis: The Mechanics of Serial and Parallel Manipulators
Tsai, L. (1999) · Cited by 1,848
Flagged first, then by citations
Research works printed but not linked: 6
- Bicchi A., 2000, IEEE Trans. Robot. Autom., 1, 348
- Schulte H., 1961, Natl. Acad. Sci.-NRC., 874, 94
- M. Tolley R. F. Shepherd M. Karpelson N. Bartlett K. Galloway M. Wehner R. Nunes G. M. Whitesides R. J. Wood Intelligent Robots and Systems Proc. IEEE Int. Conf. on 2014;
- P. M. M. Ventura in35th AIAA/ASME/SAE/ASEE Joint Propulsion Conference American Institute of Aeronautics and Astronautics Los Angeles California 1999 pp. 99–2880;
- K. Suzumori inThe 6th International Conference on Manufacturing Machine Design and Tribology 2015 4–5;
- Polygerinos P., 2013, IEEE/RSJ, 1512
Cited by
Sorted by citations
Direct Ink Writing: A 3D Printing Technology for Diverse Materials
Saadi, M. A. S. R., Maguire, A., Pottackal, N. T., Thakur, M. S. H., Ikram, M. M., Hart, A. J., Ajayan, P. M., & Rahman, M. M. (2022) · Advanced Materials · doi:10.1002/adma.202108855 · Cited by 1,429
Flexible Electronics: Stretchable Electrodes and Their Future
Huang, S., Liu, Y., Zhao, Y., Ren, Z., & Guo, C. F. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201805924 · Cited by 855
Liquid Crystals: Versatile Self-Organized Smart Soft Materials
Bisoyi, H. K., & Li, Q. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00761 · Cited by 816
Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human–Robot Interface
Xiong, J., Chen, J., & Lee, P. S. (2020) · Advanced Materials · doi:10.1002/adma.202002640 · Cited by 653
Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Heng, W., Solomon, S., & Gao, W. (2022) · Advanced Materials · doi:10.1002/adma.202107902 · Cited by 609
He, Q., Wang, Z., Wang, Y., Minori, A. F., Tolley, M. T., & Cai, S. (2019) · Science Advances · doi:10.1126/sciadv.aax5746 · Cited by 569
The rise of intelligent matter
Kaspar, C., Ravoo, B. J., van der Wiel, W. G., Wegner, S. V., & Pernice, W. H. P. (2021) · Nature · doi:10.1038/s41586-021-03453-y · Cited by 526
Poly(ionic liquid) hydrogel-based anti-freezing ionic skin for a soft robotic gripper
Liu, Z., Wang, Y., Ren, Y., Jin, G., Zhang, C., Chen, W., & Yan, F. (2019) · Materials Horizons · doi:10.1039/c9mh01688k · Cited by 453
Stretchable materials of high toughness and low hysteresis
Wang, Z., Xiang, C., Yao, X., Floch, P. L., Mendez, J., & Suo, Z. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821420116 · Cited by 437
Xavier, M. S., Tawk, C., Zolfagharian, A., Pinskier, J., Howard, D., Young, T. R., Lai, J., Harrison, S. M., Yong, Y. K., Bodaghi, M., et al. (2022) · IEEE Access · doi:10.1109/access.2022.3179589 · Cited by 475
“Pneumatic actuation remains the dominant technology in soft robotics due to its light weight, fast response time, and easy implementation [38], [43], [44].”
BackgroundExtrusion 3D Printing of Polymeric Materials with Advanced Properties
Jiang, Z., Diggle, B., Tan, M. L., Viktorova, J., Bennett, C. W., & Connal, L. A. (2020) · Advanced Science · doi:10.1002/advs.202001379 · Cited by 436
Hegde, C., Su, J., Tan, J. M. R., He, K., Chen, X., & Magdassi, S. (2023) · ACS Nano · doi:10.1021/acsnano.3c04089 · Cited by 415
Materials for Smart Soft Actuator Systems
Apsite, I., Salehi, S., & Ionov, L. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00453 · Cited by 373
Photoresponsive Supramolecular Polymers: From Light‐Controlled Small Molecules to Smart Materials
Xu, F., & Feringa, B. L. (2022) · Advanced Materials · doi:10.1002/adma.202204413 · Cited by 331
Review of Dielectric Elastomer Actuators and Their Applications in Soft Robots
Guo, Y., Liu, L., Liu, Y., & Leng, J. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202000282 · Cited by 335
Digital logic for soft devices
Preston, D. J., Rothemund, P., Jiang, H. J., Nemitz, M. P., Rawson, J., Suo, Z., & Whitesides, G. M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820672116 · Cited by 312
“…(for example, handling delicate objects with irregular shapes) using much simpler controls than their hard counterparts, because many control functions — functions that require sensors and feedback control in hard actuators — can be provided by the materials and structures of soft actuators (1).”
BackgroundInfluentialSelf-citationBiomimetic Locomotion of Electrically Powered “Janus” Soft Robots Using a Liquid Crystal Polymer
Xiao, Y., Jiang, Z., Tong, X., & Zhao, Y. (2019) · Advanced Materials · doi:10.1002/adma.201903452 · Cited by 302
A Vacuum-driven Origami “Magic-ball” Soft Gripper
Li, S., Stampfli, J. J., Xu, H., Malkin, E., Diaz, E. V., Rus, D. L., & Wood, R. J. (2019) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2019.8794068 · Cited by 308
Jones, T. J., Jambon-Puillet, E., Marthelot, J., & Brun, P. ‐. (2021) · Nature · doi:10.1038/s41586-021-04029-6 · Cited by 300
Kirigami‐Based Light‐Induced Shape‐Morphing and Locomotion
Cheng, Y., Lu, H., Lee, X. X., Zeng, H., & Priimägi, A. (2019) · Advanced Materials · doi:10.1002/adma.201906233 · Cited by 293
Becoming Sustainable, The New Frontier in Soft Robotics
Hartmann, F., Baumgartner, M., & Kaltenbrunner, M. (2020) · Advanced Materials · doi:10.1002/adma.202004413 · Cited by 296
Challenges of continuum robots in clinical context: a review
da Veiga, T., Chandler, J. H., Lloyd, P., Pittiglio, G., Wilkinson, N. J., Hoshiar, A. K., Harris, R. A., & Valdastri, P. (2020) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ab9f41 · Cited by 280
Jiao, D., Zhu, Q. L., Li, C., Zheng, Q., & Wu, Z. L. (2022) · Accounts of Chemical Research · doi:10.1021/acs.accounts.2c00046 · Cited by 273
Stretchable and fatigue-resistant materials
Xiang, C., Wang, Z., Yang, C., Yao, X., Wang, Y., & Suo, Z. (2019) · Materials Today · doi:10.1016/j.mattod.2019.08.009 · Cited by 268
Zhu, Q. L., Du, C., Dai, Y., Daab, M., Matejdes, M., Breu, J., Hong, W., Zheng, Q., & Wu, Z. L. (2020) · Nature Communications · doi:10.1038/s41467-020-18801-1 · Cited by 255
A Light‐Powered Ultralight Tensegrity Robot with High Deformability and Load Capacity
Wang, Z., Li, K., He, Q., & Cai, S. (2018) · Advanced Materials · doi:10.1002/adma.201806849 · Cited by 255
Rothemund, P., Kellaris, N., Mitchell, S. K., Acome, E., & Keplinger, C. (2020) · Advanced Materials · doi:10.1002/adma.202003375 · Cited by 256
Transparent Soft Actuators/Sensors and Camouflage Skins for Imperceptible Soft Robotics
Won, P., Kim, K. K., Kim, H., Park, J. J., Ha, I., Shin, J., Jung, J., Cho, H., Kwon, J., Lee, H., et al. (2020) · Advanced Materials · doi:10.1002/adma.202002397 · Cited by 248
Bioinspired Design of Light‐Powered Crawling, Squeezing, and Jumping Untethered Soft Robot
Ahn, C., Liang, X., & Cai, S. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900185 · Cited by 244
Soft Robotic Manipulators: Designs, Actuation, Stiffness Tuning, and Sensing
Dou, W., Zhong, G., Cao, J., Shi, Z., Peng, B., & Jiang, L. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202100018 · Cited by 254
Multimodal Soft Robotic Actuation and Locomotion
Yao, D. R., Kim, I. H., Yin, S., & Gao, W. F. (2024) · Advanced Materials · doi:10.1002/adma.202308829 · Cited by 239
Mitchell, S. K., Wang, X., Acome, E., Martin, T., Ly, K. D., Kellaris, N., Venkata, V. G., & Keplinger, C. (2019) · Advanced Science · doi:10.1002/advs.201900178 · Cited by 237
Magneto‐Mechanical Metamaterials with Widely Tunable Mechanical Properties and Acoustic Bandgaps
Montgomery, S. M., Wu, S., Kuang, X., Armstrong, C. D., Zemelka, C., Ze, Q., Zhang, R., Zhao, R. R., & Qi, H. J. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202005319 · Cited by 233
“When incorporated into metamaterials, the structures and their corresponding properties can change in response to stimuli, making them very attractive in applications such as deployable structures (26, 27), soft robotics (28, 29), and tunable acoustic metastructures (23, 30).”
BackgroundSoft electromagnetic actuators
Mao, G., Drack, M., Karami‐Mosammam, M., Wirthl, D., Stockinger, T., Schwödiauer, R., & Kaltenbrunner, M. (2020) · Science Advances · doi:10.1126/sciadv.abc0251 · Cited by 234
Preston, D. J., Jiang, H. J., Sanchez, V., Rothemund, P., Rawson, J., Nemitz, M. P., Lee, W., Suo, Z., Walsh, C. J., & Whitesides, G. M. (2019) · Science Robotics · doi:10.1126/scirobotics.aaw5496 · Cited by 227
Self-citationMonolithic shape-programmable dielectric liquid crystal elastomer actuators
Davidson, Z. S., Shahsavan, H., Aghakhani, A., Guo, Y., Hines, L., Xia, Y., Yang, S. M., & Sitti, M. (2019) · Science Advances · doi:10.1126/sciadv.aay0855 · Cited by 224
Machine Learning for Soft Robotic Sensing and Control
Chin, K., Hellebrekers, T., & Majidi, C. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.201900171 · Cited by 215
Architectural Code for Rubber Elasticity: From Supersoft to Superfirm Materials
Sheiko, S. S., & Dobrynin, A. V. (2019) · Macromolecules · doi:10.1021/acs.macromol.9b01127 · Cited by 225
Peng, S., Yu, Y., Wu, S., & Wang, C. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c15014 · Cited by 221
Yarali, E., Baniasadi, M., Zolfagharian, A., Chavoshi, M., Arefi, F., Hossain, M., Bastola, A. K., Ansari, M., Foyouzat, A., Dabbagh, A., et al. (2021) · Applied Materials Today · doi:10.1016/j.apmt.2021.101306 · Cited by 214
Li, S., Bai, H., Shepherd, R. F., & Zhao, H. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201813402 · Cited by 212
Liu, M., Wang, Z., Liu, P., Wang, Z., Yao, H., & Yao, X. (2019) · Science Advances · doi:10.1126/sciadv.aaw5643 · Cited by 203
Yang, Y., Vella, K., & Holmes, D. P. (2021) · Science Robotics · doi:10.1126/scirobotics.abd6426 · Cited by 207
Magnetically Controlled Soft Robotics Utilizing Elastomers and Gels in Actuation: A Review
Chung, H., Parsons, A. M., & Zheng, L. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000186 · Cited by 200
Zhai, F., Feng, Y., Li, Z., Xie, Y., Ge, J., Wang, H., Qiu, W., & Feng, W. (2021) · Matter · doi:10.1016/j.matt.2021.08.014 · Cited by 192
A Soft Transporter Robot Fueled by Light
da Cunha, M. P., Ambergen, S., Debije, M. G., Homburg, E. F. G. A., den Toonder, J. M. J., & Schenning, A. P. H. J. (2020) · Advanced Science · doi:10.1002/advs.201902842 · Cited by 190
Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics
Tan, Y. J., Susanto, G. J., Ali, H. P. A., & Tee, B. C. K. (2020) · Advanced Materials · doi:10.1002/adma.202002800 · Cited by 193
Yang, X. J., Chen, Y., Zhang, X., Xue, P., Lv, P., Yang, J., Wang, L., & Feng, W. (2022) · Nano Today · doi:10.1016/j.nantod.2022.101419 · Cited by 187
Soft Robots for Ocean Exploration and Offshore Operations: A Perspective
Aracri, S., Giorgio-Serchi, F., Suaria, G., Sayed, M. E., Nemitz, M. P., Mahon, S. T., & Stokes, A. A. (2021) · Soft Robotics · doi:10.1089/soro.2020.0011 · Cited by 187
“Pneumatic soft actuators, particularly ‘‘Pneunets,’’(14) are very popular among soft robotic researchers for many different applications, despite their low efficiency.(155) Analysis of PneuNet actuators with various wall thicknesses and different soft materials shows that the efficiency of these soft actuators lies in…”
BackgroundWearable and Implantable Soft Robots
Yin, S., Yao, D. R., Song, Y., Heng, W., Ma, X., Han, H., & Gao, W. F. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00513 · Cited by 189
Zhou, H., Wang, Z., Zhao, W., Tong, X., Jin, X., Zhang, X., Yu, Y., Liu, H., Ma, Y., Li, S., et al. (2020) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.126307 · Cited by 182
Peng, S., Li, Y., Wu, L., Zhong, J. P., Weng, Z., Zheng, L., Yang, Z. W., & Miao, J. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b20631 · Cited by 172
Zhang, Y., Wang, Z., Yang, Y., Chen, Q., Qian, X., Wu, Y., Liang, H., Xu, Y., Wei, Y., & Ji, Y. J. (2020) · Science Advances · doi:10.1126/sciadv.aay8606 · Cited by 173
Tough, Self‐Healing Hydrogels Capable of Ultrafast Shape Changing
Jiang, Z., Diggle, B., Shackleford, I. C. G., & Connal, L. A. (2019) · Advanced Materials · doi:10.1002/adma.201904956 · Cited by 173
Soft Materials Driven by Photothermal Effect and Their Applications
Bisoyi, H. K., Urbas, A. M., & Li, Q. (2018) · Advanced Optical Materials · doi:10.1002/adom.201800458 · Cited by 172
3D printing of resilient biogels for omnidirectional and exteroceptive soft actuators
Heiden, A., Preninger, D., Lehner, L. E., Baumgartner, M., Drack, M., Woritzka, E., Schiller, D., Gerstmayr, R., Hartmann, F., & Kaltenbrunner, M. (2022) · Science Robotics · doi:10.1126/scirobotics.abk2119 · Cited by 174
Zadan, M., Patel, D. K., Sabelhaus, A. P., Liao, J., Wertz, A., Yao, L., & Majidi, C. (2022) · Advanced Materials · doi:10.1002/adma.202200857 · Cited by 169
Strong, Self‐Healable, and Recyclable Visible‐Light‐Responsive Hydrogel Actuators
Jiang, Z., Tan, M. L., Taheri, M., Yan, Q., Tsuzuki, T., Gardiner, M. G., Diggle, B., & Connal, L. A. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201916058 · Cited by 169
A Review of Magnetic Elastomers and Their Role in Soft Robotics
Bira, N., Dhagat, P., & Davidson, J. R. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.588391 · Cited by 168
“A challenging area for soft robotics is reducing robotic tethering, or the reliance of a soft robot on a base station for power, pressure, and other forms of regulation (Rus and Tolley, 2015; Whitesides, 2018).”
BackgroundDesigning Molecular Photoswitches for Soft Materials Applications
Boelke, J., & Hecht, S. (2019) · Advanced Optical Materials · doi:10.1002/adom.201900404 · Cited by 165
Liquid‐Crystalline Soft Actuators with Switchable Thermal Reprogrammability
Wu, Y., Yang, Y., Qian, X., Chen, Q., Wei, Y., & Ji, Y. J. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201915694 · Cited by 163
Microfluidics‐Based Biomaterials and Biodevices
Dong, R., Liu, Y., Mou, L., Deng, J., & Jiang, X. (2018) · Advanced Materials · doi:10.1002/adma.201805033 · Cited by 159
Robotic surfaces with reversible, spatiotemporal control for shape morphing and object manipulation
Liu, K., Hacker, F., & Daraio, C. (2021) · Science Robotics · doi:10.1126/scirobotics.abf5116 · Cited by 159
Hybrid Jamming for Bioinspired Soft Robotic Fingers
Yang, Y., Zhang, Y., Kan, Z., Zeng, J., & Wang, M. Y. (2019) · Soft Robotics · doi:10.1089/soro.2019.0093 · Cited by 159
Dual-Gel 4D Printing of Bioinspired Tubes
Liu, J., Erol, O., Pantula, A., Liu, W., Jiang, Z., Kobayashi, K., Chatterjee, D., Hibino, N., Romer, L. H., Kang, S. H., et al. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b17218 · Cited by 156
Soft robotic steerable microcatheter for the endovascular treatment of cerebral disorders
Gopesh, T., Wen, J. H., Santiago-Dieppa, D. R., Yan, B., Pannell, J. S., Khalessi, A. A., Norbash, A., & Friend, J. R. (2021) · Science Robotics · doi:10.1126/scirobotics.abf0601 · Cited by 159
Advances in 4D printing of liquid crystalline elastomers: materials, techniques, and applications
Guan, Z., Wang, L., & Bae, J. (2022) · Materials Horizons · doi:10.1039/d2mh00232a · Cited by 154
Liquid Crystal Polymer‐Based Soft Robots
Xiao, Y., Jiang, Z., & Zhao, Y. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000148 · Cited by 153
Liu, Y., Wang, W., Gu, K., Yao, J., Shao, Z., & Chen, X. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c09006 · Cited by 149
Stretchable Multiresponsive Hydrogel with Actuatable, Shape Memory, and Self‐Healing Properties
Zhang, F., Xiong, L., Ai, Y., Liang, Z., & Liang, Q. (2018) · Advanced Science · doi:10.1002/advs.201800450 · Cited by 148
Bioinspired Soft Robotic Caterpillar with Cardiomyocyte Drivers
Sun, L., Chen, Z., Bian, F., & Zhao, Y. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201907820 · Cited by 148
Coupled liquid crystalline oscillators in Huygens’ synchrony
Vantomme, G., Elands, L. C. M., Gelebart, A. H., Meijer, E. W., POGROMSKY, A. Y., Nijmeijer, H., & Broer, D. J. (2021) · Nature Materials · doi:10.1038/s41563-021-00931-6 · Cited by 145
Living Materials Herald a New Era in Soft Robotics
Appiah, C., Arndt, C., Siemsen, K., Heitmann, A., Staubitz, A., & Selhuber‐Unkel, C. (2019) · Advanced Materials · doi:10.1002/adma.201807747 · Cited by 144
Gao, W. M., Lei, Z., Zhang, C., Liu, X., & Chen, Y. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202104071 · Cited by 140
4D printing in biomedical applications: emerging trends and technologies
Agarwal, T., Hann, S.-Y., Chiesa, I., Cui, H., Celikkin, N., Micalizzi, S., Barbetta, A., Costantini, M., Esworthy, T. J., Zhang, L. G., et al. (2021) · Journal of Materials Chemistry B · doi:10.1039/d1tb01335a · Cited by 133
Low Melting Point Alloys Enabled Stiffness Tunable Advanced Materials
Hao, Y., Gao, J., Lv, Y., & Liu, J. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202201942 · Cited by 133
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Troyano, J., Carné‐Sánchez, A., & Maspoch, D. (2019) · Advanced Materials · doi:10.1002/adma.201808235 · Cited by 127
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Bioinspired footed soft robot with unidirectional all-terrain mobility
Wang, X., Yang, B., Tan, D., Li, Q., Song, B., Wu, Z., del Campo, A., Kappl, M., Wang, Z., Gorb, S. N., et al. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.028 · Cited by 125
Indirect 3D and 4D Printing of Soft Robotic Microstructures
Marco, C. D., Alcantara, C., Kim, S., Vangosa, F. B., Kadioglu, A., Bernardis, G. D., Chen, X., Marano, C., Nelson, B. J., & Pané, S. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900332 · Cited by 123
High‐Strain Peano‐HASEL Actuators
Wang, X., Mitchell, S. K., Rumley, E. H., Rothemund, P., & Keplinger, C. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201908821 · Cited by 124
Topoarchitected polymer networks expand the space of material properties
Liu, X., Wu, J., Qiao, K., Liu, G., Wang, Z., Lu, T., Suo, Z., & Hu, J. Q. (2022) · Nature Communications · doi:10.1038/s41467-022-29245-0 · Cited by 124
Soft Materials and Devices Enabling Sensorimotor Functions in Soft Robots
Su, J., He, K., Li, Y., Tu, J., & Chen, X. (2025) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00906 · Cited by 121
Sajjad, R., Chauhdary, S. T., Anwar, M. T., Zahid, A., Khosa, A. A., Imran, M., & Sajjad, M. H. (2023) · Advanced Industrial and Engineering Polymer Research · doi:10.1016/j.aiepr.2023.08.002 · Cited by 127
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Zhalmuratova, D., & Chung, H. (2020) · ACS Applied Polymer Materials · doi:10.1021/acsapm.9b01078 · Cited by 120
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Morphing matter: from mechanical principles to robotic applications
Yang, X., Zhou, Y., Zhao, H., Huang, W., Wang, Y., Hsia, K. J., & Liu, M. (2023) · Soft Science · doi:10.20517/ss.2023.42 · Cited by 118
Sankar, S., Wenyu, C., Zhang, J., Slepyan, A., Iskarous, M. M., Greene, R. J., DeBrabander, R., Chen, J., Gupta, A., & Thakor, N. V. (2025) · Science Advances · doi:10.1126/sciadv.adr9300 · Cited by 119
Li, W., Wang, W., Wang, X., Li, M., Ke, Y., Yao, R., Wen, J., Yin, G., Jiang, B., Li, X., et al. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c02475 · Cited by 106
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Low, J.-H., Khin, P. M., Han, Q., Yao, H., Teoh, Y. S., Zeng, Y., Li, S., Liu, J., Liu, Z., y Alvarado, P. V., et al. (2021) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2021.3110277 · Cited by 108
“based actuators and 3D-printed actuators [11]–[13] are also manufactured at lower production cost than conventional rigid”
Background3D-Printed Self-Healing Elastomers for Modular Soft Robotics
Gomez, E. F., Wanasinghe, S. V., Flynn, A. E., Dodo, O. J., Sparks, J. L., Baldwin, L. A., Tabor, C. E., Durstock, M. F., Konkolewicz, D., & Thrasher, C. J. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c06419 · Cited by 104
A 3D Printed Modular Soft Gripper Integrated With Metamaterials for Conformal Grasping
Tawk, C., Mutlu, R., & Alıcı, G. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.799230 · Cited by 103
“Soft robots are characterized by their adaptability, conformability, agility, and durability (Whitesides, 2018) compared to their conventional rigid and stiff counterparts (Alici, 2018).”
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Keith, A. N., Vatankhah‐Varnosfaderani, M., Clair, C., Fahimipour, F., Dashtimoghadam, E., Lallam, A., Sztucki, M., Ivanov, D. A., Liang, H., Dobrynin, A. V., et al. (2020) · ACS Central Science · doi:10.1021/acscentsci.9b01216 · Cited by 101
A Functioning Macroscopic “Rubik's Cube” Assembled via Controllable Dynamic Covalent Interactions
Ji, X., Li, Z., Liu, X., Peng, H., Song, F., Qi, J., Lam, J. W. Y., Long, L., Sessler, J. L., & Tang, B. Z. (2019) · Advanced Materials · doi:10.1002/adma.201902365 · Cited by 101
Regulation of Hard Segment Cluster Structures for High‐performance Poly(urethane‐urea) Elastomers
Qin, J., Chen, Y., Guo, X., Huang, Y., Chen, G., Zhang, Q., He, G., Zhu, S., Ruan, X., & Zhu, H. (2024) · Advanced Science · doi:10.1002/advs.202400255 · Cited by 101
He, Z., Shen, J., Lan, M., & Gu, H. (2024) · Journal of Materials Chemistry B · doi:10.1039/d4tb00374h · Cited by 100
The neuromechanics of animal locomotion: From biology to robotics and back
Ramdya, P., & Ijspeert, A. J. (2023) · Science Robotics · doi:10.1126/scirobotics.adg0279 · Cited by 92
Origami Biosystems: 3D Assembly Methods for Biomedical Applications
Quiñones, V. A. B., Zhu, H. Y., Solovev, A. A., Mei, Y., & Gracias, D. H. (2018) · Advanced Biosystems · doi:10.1002/adbi.201800230 · Cited by 98
Metadata
- Authors
- Whitesides, G. M.
- Affiliations
- Harvard University (US)
- Corresponding author
- Whitesides, George M.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2018-03-08
- Volume
- 57
- Issue
- 16
- Pages
- 4258-4273
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W4211124276
- Semantic Scholar
- 4899ed6fef8ac75874a202e3458e4a2c1151f926
- Cited by
- 850
- References
- 98
- Citations by year
- 2026: 77 · 2025: 127 · 2024: 121 · 2023: 140 · 2022: 113 · 2021: 113 · 2020: 88 · 2019: 57 · 2018: 14
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- green
- www.osti.gov
- Locations
- Angewandte Chemie International Edition (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Science Foundation (1420570)
- U.S. Department of Energy (# ER45852, DESC0000989)
- Defense Advanced Research Projects Agency
- Materials Research Science and Engineering Center, Harvard University (DMR- 1420570, 1420570)
- Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University
- Division of Materials Research (DMR 14–20570, 1420570)
- 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 robotics, soft actuators
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