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We appreciate your patience and interest.
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# Stark
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<p align=center>
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<img src="docs/images/robotic_hand.png" width="400">
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&nbsp;&nbsp;
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<img src="docs/images/franka_plastic_cup.jpg" width="400">
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<p align="center">
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<img src="docs/images/stark1920.png" alt="SymX Logo" style="width:75%;">
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</p>
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Stark is a C++ and Python simulation _platform_ that provides easy access to state-of-the-art methods to robustly solve simulations of rigid and deformable objects in a strongly coupled manner.
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To the best of our knowledge, no other existing open source simulation environment provides such a rich collection of models, including coupling, with the same level of robustness.
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Stark has been validated through real-world, challenging cases of interactions between robots and deformable objects, see the [Stark ICRA'24 paper](https://www.animation.rwth-aachen.de/publication/0588/).
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<p align=center>
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<img src="docs/images/robotic_hand.png" height="200">
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&nbsp;&nbsp;
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<img src="docs/images/franka_plastic_cup.jpg" height="200">
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</p>
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One of the main features of Stark is that it uses a powerful symbolic differentiation and code generation engine that allows for a concise formulation of the global variational form of the non-linear dynamic problem.
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Adding new models (e.g. materials, joints, interactions, ...) in Stark is as simple as specifying their energy potential in symbolic form together with the data they depend on.
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This removes the tedium of manually deriving, implementing, testing and optimizing new models and integrating them in existing complex simulation environments.

docs/images/stark1920.png

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