Abstract
Efficient computational mechanical models are needed to develop complex, multifunctional soft robotics systems. The field of biohybrid robotics is no exception and is currently limited to low degree-of-freedom lab-chained research devices due in part to limitations in existing design tools and limitations in the morphological sophistication of existing biohybrid structures. Here, we present an expanded use of an existing soft body modeling tool PyElastica, along with a parametric design pipeline for generating and simulating a lattice-based distributed actuation biohybrid robot. Our key contribution in this work is the parameterization of the geometry defining the lattice robot architecture both in terms of the bulk structure and the patterning of the muscles on that structure. By encoding multifunctionality in the robot’s architecture, we demonstrate extension, compression, and bending motion primitives exhibited by the same base lattice structure. We achieve structure-wide strains of 49.73% for extension, 30.59% for compression, and a \(48.60^{\circ }\) bend angle for the bent configuration, with all simulations completing in less than 45 s. From this pilot study, the computational model will be expanded to capture more complex and functional behaviors, such as esophageal-inspired peristalsis for internal transport, as well as earthworm-inspired locomotion. The computational modeling of these behaviors is a critical step toward the eventual design, fabrication, and deployment of complex biohybrid robots.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aydin, O., et al.: Neuromuscular actuation of biohybrid motile bots. Proc. Natl. Acad. Sci. 116(40), 19841–19847 (2019). https://doi.org/10.1073/pnas.1907051116
Cvetkovic, C., et al.: Three-dimensionally printed biological machines powered by skeletal muscle. Proc. Natl. Acad. Sci. U.S.A. 111(28), 10125–10130 (2014). https://doi.org/10.1073/pnas.1401577111
Daltorio, K.A., Boxerbaum, A.S., Horchler, A.D., Shaw, K.M., Chiel, H.J., Quinn, R.D.: Efficient worm-like locomotion: slip and control of soft-bodied peristaltic robots. Bioinspiration Biomimetics 8(3), 035003 (2013). https://doi.org/10.1088/1748-3182/8/3/035003
Gazzola, M., Dudte, L.H., McCormick, A.G., Mahadevan, L.: Forward and inverse problems in the mechanics of soft filaments. R. Soc. Open Sci. 5(6), 171628 (2018). https://doi.org/10.1098/rsos.171628
Guix, M., et al.: Biohybrid soft robots with self-stimulating skeletons. Sci. Robot. 6(53), eabe7577 (2021). https://doi.org/10.1126/scirobotics.abe7577
Herr, H., Dennis, R.G.: A swimming robot actuated by living muscle tissue. J. NeuroEng. Rehabil. 1, 1–9 (2004). https://doi.org/10.1186/1743-0003-1-6
Kim, Y., et al.: Remote control of muscle-driven miniature robots with battery-free wireless optoelectronics. Sci. Robot. 8, eadd1053 (2023). https://doi.org/10.1126/scirobotics.add1053
Lee, K.Y., et al.: An autonomously swimming biohybrid fish designed with human cardiac biophysics. Science 375(6581), 639–647 (2022). https://doi.org/10.1126/science.abh0474
Morimoto, Y., Onoe, H., Takeuchi, S.: Biohybrid robot powered by an antagonistic pair of skeletal muscle tissues. Sci. Robot. 3, 4440 (2018). https://doi.org/10.1126/scirobotics.aat4440
Naughton, N., Sun, J., Tekinalp, A., Parthasarathy, T., Chowdhary, G., Gazzola, M.: Elastica: a compliant mechanics environment for soft robotic control. IEEE Robot. Autom. Lett. 6(2), 3389–3396 (2021). https://doi.org/10.1109/LRA.2021.3063698
Pagan-Diaz, G.J., et al.: Simulation and fabrication of stronger, larger, and faster walking biohybrid machines. Adv. Funct. Mater. 28(23), 1801145 (2018). https://doi.org/10.1002/adfm.201801145
Park, S.J., et al.: Phototactic guidance of a tissue-engineered soft-robotic ray. Science 353(6295), 158–162 (2016). https://doi.org/10.1126/science.aaf4292
Raman, R., et al.: Optogenetic skeletal muscle-powered adaptive biological machines. Proc. Natl. Acad. Sci. 113(13), 3497–3502 (2016). https://doi.org/10.1073/pnas.1516139113
Ricotti, L., et al.: Biohybrid actuators for robotics: a review of devices actuated by living cells. Sci. Robot. 2(12), eaaq0495 (2017). https://doi.org/10.1126/scirobotics.aaq0495
Schaffer, S., Lee, J.S., Beni, L., Webster-Wood, V.A.: A computational approach for contactless muscle force and strain estimations in distributed actuation biohybrid mesh constructs. Biomimetic Biohybrid Syst. 13548, 140–151 (2022). https://doi.org/10.1007/978-3-031-20470-8_15
Seok, S., Onal, C.D., Cho, K.J., Wood, R.J., Rus, D., Kim, S.: Meshworm: a peristaltic soft robot with antagonistic nickel titanium coil actuators. IEEE/ASME Trans. Mechatron. 18(5), 1485–1497 (2013). https://doi.org/10.1109/TMECH.2012.2204070
Smooth-On: Ecoflex 00–30 (2023). https://www.smooth-on.com/products/ecoflex-00-30/, Accessed 15 Jan 2023
Wang, J., et al.: Computationally assisted design and selection of maneuverable biological walking machines. Adv. Intell. Syst. 3, 2000237 (2021). https://doi.org/10.1002/aisy.202000237
Webster, V.A., et al.: Aplysia Californica as a novel source of material for biohybrid robots and organic machines. Biomimetic Biohybrid Syst. (2016). https://doi.org/10.1007/978-3-319-42417-0
Webster, V.A., Nieto, S.G., Grosberg, A., Akkus, O., Chiel, H.J., Quinn, R.D.: Simulating muscular thin films using thermal contraction capabilities in finite element analysis tools. J. Mech. Behav. Biomed. Mater. 63, 326–336 (2016). https://doi.org/10.1016/j.jmbbm.2016.06.027
Webster-Wood, V.A., Akkus, O., Gurkan, U.A., Chiel, H.J., Quinn, R.D.: Organismal engineering: toward a robotic taxonomic key for devices using organic materials. Sci. Robot. 2(12), 1–19 (2017). https://doi.org/10.1126/scirobotics.aap9281
Zhang, X., Chan, F.K., Parthasarathy, T., Gazzola, M.: Modeling and simulation of complex dynamic musculoskeletal architectures. Nat. Commun. 10(1), 4825 (2019). https://doi.org/10.1038/s41467-019-12759-5
Acknowledgements
This material is based on work supported by a Carnegie Mellon University (CMU) Dean’s Fellowship and the National Science Foundation Graduate Research Fellowship Program under grant No. DGE1745016 and by the National Science Foundation CAREER award program (grant No. ECCS-2044785). The authors would also like to acknowledge OpenAI’s ChatGPT for answering innumerable inane coding questions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
1 Electronic supplementary material
Below is the link to the electronic supplementary material.
Supplementary material 1 (mp4 1083 KB)
Supplementary material 2 (mp4 881 KB)
Supplementary material 3 (mp4 1135 KB)
Supplementary material 4 (mp4 887 KB)
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Schaffer, S., Webster-Wood, V.A. (2023). The Tall, the Squat, & the Bendy: Parametric Modeling and Simulation Towards Multi-functional Biohybrid Robots. In: Meder, F., Hunt, A., Margheri, L., Mura, A., Mazzolai, B. (eds) Biomimetic and Biohybrid Systems. Living Machines 2023. Lecture Notes in Computer Science(), vol 14158. Springer, Cham. https://doi.org/10.1007/978-3-031-39504-8_15
Download citation
DOI: https://doi.org/10.1007/978-3-031-39504-8_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-39503-1
Online ISBN: 978-3-031-39504-8
eBook Packages: Computer ScienceComputer Science (R0)