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
ReBRAC-v2 is introduced, which directly trains an exact-likelihood normalizing flow as the RL actor, combines likelihood, MSE, and MAE behavior regularization, and integrates a classification-based residual critic, staged optimization, and multi-sample test-time action selection, and ranks first in eight categories.
Mask2Real-WM is presented, a two-stage action-conditioned world model for dexterous manipulation that decouples pixel prediction into a dynamics model and a rendering model that shows that mask conditioning and simulation pretraining are both required for per-DoF action controllability across all 23 degrees of freedom.
Riccardo Feingold, Davide Liconti, Chenyu Yang et al.· 1 citation
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