https://github.com/atoosaparsa/adaptiveforcechains
Source code for "Evolution of Adaptive Force Chains in Reconfigurable Granular Metamaterials"
https://github.com/atoosaparsa/adaptiveforcechains
evolutionary-computation force-chains granular-material metamaterials multiobjective-optimization sim2real soft-robotics variable-stiffness
Last synced: 7 months ago
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Source code for "Evolution of Adaptive Force Chains in Reconfigurable Granular Metamaterials"
- Host: GitHub
- URL: https://github.com/atoosaparsa/adaptiveforcechains
- Owner: AtoosaParsa
- License: mit
- Created: 2024-02-18T23:29:46.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-24T16:16:56.000Z (7 months ago)
- Last Synced: 2025-02-24T17:27:44.651Z (7 months ago)
- Topics: evolutionary-computation, force-chains, granular-material, metamaterials, multiobjective-optimization, sim2real, soft-robotics, variable-stiffness
- Language: Python
- Homepage:
- Size: 3.21 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Evolution of Adaptive Force Chains in Reconfigurable Granular Metamaterials
This repository contains the source code for all the experiments in the following paper:
[S. Witthaus*, A. Parsa*, D. Wang, N. Pashine, J. Zhang, A. MacKeith, M. D. Shattuck, J. Bongard, C. S. O'Hern, and R. Kramer-Bottiglio, Evolution of adaptive force chains in reconfigurable granular metamaterials, submitted to Soft Matter (2024)](https://jamming.research.yale.edu/files/papers/chains.pdf)
- [Watch a video summary here!](https://www.youtube.com/watch?v=YZ45mljl150).
## Feasibility Check: maximizing force on a single particle
## Complex Cases: maximizing forces on multiple particles