Biohybrid robots use engineered living muscle tissue as actuators, offering self-organization, adaptability, and self-healing. Current designs focus on improving muscle physiology but overlook the interplay between muscle and scaffold in the robot’s function. We present a computational and experimental pipeline to co-o...
Aiste Balciunaite, M. Y. Michelis, Miriam Filippi et al.· Nature Communications· 1 citation
Soft robots are commonly sought for safety-critical interactions in delicate environments, where accurate position and orientation control is imperative. Model predictive control (MPC) offers a solution, but it requires a model of the robot's infinite-dimensional nonlinear dynamics that is at once accurate and computat...
Aron Karakai, Roshan S. Kaundinya, M. Y. Michelis et al.· 0 citations
Complex tasks for underwater robots remain limited by the capabilities of their controllers. Learning a better one for a soft, underactuated robotic fish trades simulator cost against fidelity. We show that an intentionally low-fidelity simulator is enough: a stateless, quasi-steady fluid model with no wake and no adde...
Liam Maloney, Simon Ramchandani, M. Y. Michelis et al.· 0 citations
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