The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Simbody: multibody dynamics for biomedical research
Open accessAbstract
Multibody software designed for mechanical engineering has been successfully employed in biomedical research for many years. For real time operation some biomedical researchers have also adapted game physics engines. However, these tools were built for other purposes and do not fully address the needs of biomedical researchers using them to analyze the dynamics of biological structures and make clinically meaningful recommendations. We are addressing this problem through the development of an open source, extensible, high performance toolkit including a multibody mechanics library aimed at the needs of biomedical researchers. The resulting code, Simbody, supports research in a variety of fields including neuromuscular, prosthetic, and biomolecular simulation, and related research such as biologically-inspired design and control of humanoid robots and avatars. Simbody is the dynamics engine behind OpenSim, a widely used biomechanics simulation application. This article reviews issues that arise uniquely in biomedical research, and reports on the architecture, theory, and computational methods Simbody uses to address them. By addressing these needs explicitly Simbody provides a better match to the needs of researchers than can be obtained by adaptation of mechanical engineering or gaming codes. Simbody is a community resource, free for any purpose. We encourage wide adoption and invite contributions to the code base at https://simtk.org/home/simbody.
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Cites
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Cited by
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
Choi, H., Crump, C., Duriez, C., Elmquist, A., Hager, G., Han, D., Hearl, F., Hodgins, J., Jain, A., Leve, F., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1907856118 · Cited by 162
FARMS: Framework for Animal and Robot Modeling and Simulation
Arreguit, J., Tata Ramalingasetty, S., Danner, S. M., & Ijspeert, A. (2023) · doi:10.1101/2023.09.25.559130 · Cited by 12
Metadata
- Authors
- Sherman, M. A., Seth, A., & Delp, S. L.
- Venue
- Procedia IUTAM
- Publisher
- Elsevier BV
- Published
- 2011
- Volume
- 2
- Pages
- 241-261
- ISSN
- 2210-9838 (ISSN-L)
- OpenAlex
- W2150513221
- Cited by
- 257
- References
- 44
- FWCI
- 10.72
- Type
- journal article
- Language
- en
- Open access
- hybrid
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