Show source-provided references
7. Zullo, L., Di Clemente, A., and Maiole, F. (2022). How octopus arm muscle contractile properties and anatomical organization contribute to arm functional specialization. J. Exp. Biol., 225.
10.1242/jeb.243163 ↗8. Narayan, R. (2019). Robotics—Soft Robotics. Encyclopedia of Biomedical Engineering, Elsevier.
10. Walker, I., Dawson, D., Flash, T., Grasso, F., Hanlon, R., Hochner, B., Kier, W., Pagano, C., Rahn, C., and Zhang, Q. (2005). Continuum Robot Arms Inspired by Cephalopods, SPIE.
10.1117/12.606201 ↗11. Modeling and motion control of an octopus-like flexible manipulator actuated by shape memory alloy wires
10.1177/1045389X211023579 ↗12. Calisti, M., Giorelli, M., Levy, G., Mazzolai, B., Hochner, B., Laschi, C., and Dario, P. (2011). An octopus-bioinspired solution to movement and manipulation for soft robots. Bioinspiration Biomim., 6.
10.1088/1748-3182/6/3/036002 ↗13. Kumar, S.R.S. (2022). How Elephant’s Flexible Trunk Can Improve Robots, Hindustan Times; HT Media Limited.
14. Tang, C. (2020). Soft Robotic Gripper Modeled after an Elephant’s Trunk. [Ph.D. Thesis, UNSW Sydney].
17. Soft robotics with compliance and adaptation for biomedical applications and forthcoming challenges
22. Ang, B.W.K., Yeow, C.-H., and Lim, J.H. (2023). A Critical Review on Factors Affecting the User Adoption of Wearable and Soft Robotics. Sensors, 23.
10.3390/s23063263 ↗23. Improving Mechanical Properties of Molded Silicone Rubber for Soft Robotics Through Fabric Compositing
10.1089/soro.2017.0035 ↗24. Tasić, P., Hajro, I., Hodzic, D., and Pandžić, A. Selection Charts for Structural Steels Regarding Design Criteria and Trending Properties. Proceedings of the 31st International DAAAM Symposium 2020.
10.2507/31st.daaam.proceedings.063 ↗27. Hydrogels: Types, structure, properties, and applications
29. Schönfeld, D., Chalissery, D., Wenz, F., Specht, M., Eberl, C., and Pretsch, T. (2021). Actuating Shape Memory Polymer for Thermoresponsive Soft Robotic Gripper and Programmable Materials. Molecules, 26.
10.3390/molecules26030522 ↗31. Bilodeau, R.A., and Kramer, R.K. (2017). Self-Healing and Damage Resilience for Soft Robotics: A Review. Front. Robot. AI, 4.
10.3389/frobt.2017.00048 ↗32. (2023). Biological Robots: Perspectives on an Emerging Interdisciplinary Field. Soft Robot., 10, 674–686.
10.1089/soro.2022.0142 ↗33. PDMS—A simple and effective platform for determining Young’s modulus of ultrathin 2D materials
10.1063/5.0245071 ↗36. Singh, A.V., Ansari, M.H.D., Mahajan, M., Srivastava, S., Kashyap, S., Dwivedi, P., Pandit, V., and Katha, U. (2020). Sperm Cell Driven Microrobots-Emerging Opportunities and Challenges for Biologically Inspired Robotic Design. Micromachines, 11.
10.3390/mi11040448 ↗37. Singh, A.V., Dad Ansari, M.H., Dayan, C.B., Giltinan, J., Wang, S., Yu, Y., Kishore, V., Laux, P., Luch, A., and Sitti, M. (2019). Multifunctional magnetic hairbot for untethered osteogenesis, ultrasound contrast imaging and drug delivery. Biomaterials, 219.
10.1016/j.biomaterials.2019.119394 ↗38. Bio-inspired design and additive manufacturing of soft materials, machines, robots, and haptic interfaces
10.1002/anie.201813402 ↗49. Yang, J., Cao, P., Gao, K., Ding, C., Chen, S., Zhang, X., Wang, T., Wang, Q., and Zhang, Y. (2023). Thermal Tunable Tribological Behavior of Shape Memory Biphenyl Epoxy Resin. Coatings, 13.
10.3390/coatings13010166 ↗51. Towards a fibrous composite with dynamically controlled stiffness: Lessons from echinoderms
10.1042/bst0280357 ↗52. Rokaya, D., Skallevold, H.E., Srimaneepong, V., Marya, A., Shah, P.K., Khurshid, Z., Zafar, M.S., and Sapkota, J. (2023). Shape Memory Polymeric Materials for Biomedical Applications: An Update. J. Compos. Sci., 7.
10.3390/jcs7010024 ↗55. Su, H., Hou, X., Zhang, X., Qi, W., Cai, S., Xiong, X., and Guo, J. (2022). Pneumatic Soft Robots: Challenges and Benefits. Actuators, 11.
10.3390/act11030092 ↗56. Pawar, P.B. (2020). Industrial Hydraulics and Pneumatics, Sankalp Publication.
57. Lee, J.-H., Chung, Y.S., and Rodrigue, H. (2019). Long Shape Memory Alloy Tendon-based Soft Robotic Actuators and Implementation as a Soft Gripper. Sci. Rep., 9.
10.1038/s41598-019-47794-1 ↗61. Maksimkin, A.V., Dayyoub, T., Telyshev, D.V., and Gerasimenko, A.Y. (2022). Electroactive Polymer-Based Composites for Artificial Muscle-like Actuators: A Review. Nanomaterials, 12.
10.3390/nano12132272 ↗64. Higueras-Ruiz, D.R., Nishikawa, K., Feigenbaum, H., and Shafer, M. (2021). What is an artificial muscle? A comparison of soft actuators to biological muscles. Bioinspiration Biomim., 17.
10.1088/1748-3190/ac3adf ↗71. Making and Remaking Dynamic 3D Structures by Shining Light on Flat Liquid Crystalline Vitrimer Films without a Mold
10.1021/jacs.5b12531 ↗78. Ansari, M.H., Ha, X.T., Ourak, M., Borghesan, G., Iacovacci, V., Vander Poorten, E., and Menciassi, A. (2023). Characterization of a 3D Printed Endovascular Magnetic Catheter. Actuators, 12.
10.3390/act12110409 ↗79. Stereotaxis Niobe magnetic navigation system for endocardial catheter ablation and gastrointestinal capsule endoscopy
10.1586/erd.09.32 ↗86. Cianchetti, M. (2021). Embodied Intelligence in Soft Robotics Through Hardware Multifunctionality. Front. Robot. AI, 8.
10.3389/frobt.2021.724056 ↗89. An integrated design and fabrication strategy for entirely soft, autonomous robots
10.1038/nature19100 ↗90. Cangelosi, A., Bongard, J., Fischer, M.H., and Nolfi, S. (2015). Embodied intelligence. Springer Handbook of Computational Intelligence, Springer.
10.1007/978-3-662-43505-2_37 ↗91. Floreano, D., Mondada, F., Perez-Uribe, A., and Roggen, D. (2003, January 7–11). Evolution of embodied intelligence. Proceedings of the Embodied Artificial Intelligence: International Seminar, Dagstuhl Castle, Germany. Revised Papers.
10.1007/978-3-540-27833-7_23 ↗93. Embodied Intelligence through Coordination Dynamics in the Brain-Body Complex
94. Tauber, F., Desmulliez, M., Piccin, O., and Stokes, A.A. (2023). Perspective for soft robotics: The field’s past and future. Bioinspiration Biomim., 18.
10.1088/1748-3190/acbb48 ↗