Tensegrity Morphing: Machine Learning-Based Tensegrity Deformation Predictor for Traversing Cluttered Environments
- DOI
- 10.1007/978-3-030-85910-7_50
- Published
- 2021
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-85910-7_50,
title = {Tensegrity Morphing: Machine Learning-Based Tensegrity Deformation Predictor for Traversing Cluttered Environments},
author = {Eduard Zalyaev and Sergei Savin},
year = {2021},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-85910-7_50},
url = {https://doi.org/10.1007/978-3-030-85910-7_50}
}RIS
TY - JOUR TI - Tensegrity Morphing: Machine Learning-Based Tensegrity Deformation Predictor for Traversing Cluttered Environments AU - Eduard Zalyaev AU - Sergei Savin PY - 2021 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-85910-7_50 UR - https://doi.org/10.1007/978-3-030-85910-7_50 ER -
APA
Zalyaev, E., & Savin, S. (2021). Tensegrity Morphing: Machine Learning-Based Tensegrity Deformation Predictor for Traversing Cluttered Environments. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-85910-7_50
Source records
- crossref · retrieved 2026-09-26T04:15:19.547Z