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Found 8 papers, 5 papers with code
Gradient-based Design of Computational Granular Crystals
There is growing interest in engineering unconventional computing devices that leverage the intrinsic dynamics of physical substrates to perform fast and energy-efficient computations.
Universal Mechanical Polycomputation in Granular Matter
Mechanical computers, wherein information processing is a material property emerging from the interaction of components with the environment, are one such class of devices.
Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine
This strategy is based on a differentiable physics engine that can be trained given limited data from a real robot.
6N-DoF Pose Tracking for Tensegrity Robots
To ensure that the pose estimates of rigid elements are physically feasible, i. e., they are not resulting in collisions between rods or with the environment, physical constraints are introduced during the optimization.
Evolving Programmable Computational Metamaterials
Granular metamaterials are a promising choice for the realization of mechanical computing devices.
Scale invariant robot behavior with fractals
Finally, we show that biobots can spontaneously exhibit self similar attachment geometries, thereby suggesting that self similar behavior via self similar structure may be realizable across a wide range of robot platforms in future.
Scalable sim-to-real transfer of soft robot designs
The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools.
Automated shapeshifting for function recovery in damaged robots
We found that, especially in the case of "deep insult", such as removal of all four of the robot's legs, the damaged machine evolves shape changes that not only recover the original level of function (locomotion) as before, but can in fact surpass the original level of performance (speed).
