ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots

Yibin Wang, Muhan Li, Zihan Guo +1

In this paper, we introduce a model of evolution and learning in robots that co-optimizes a distribution of latent design vectors (genotypes) and a mixture of control experts (neur…