Author

Guo-Zhen Li

3 papers indexed here

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Preprint Aug 2026

Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learning

Robot co-design via bi-level optimization couples within-lifetime controller learning for fitness evaluation with cross-generational morphological evolution. Prior work has established that well-adapted morphology facilitates faster control learning, a property termed morphological intelligence. Yet how control learnin...

Jun-Ru Song, Yang Yang, Yaqing Xu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Generative Evolutionary Design of Voxel-Based Soft Robots with Provable Optimality

MISCO is developed, a novel evolutionary framework empowered by deep generative models to optimize VSR designs with theoretical guarantees that represents a step change towards more scalable and reliable soft robot development.

Jun-Ru Song, Huan Xiao, Yang Yang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

RoboLDA: A Probabilistic Generative Model for Uncovering Embodied Hierarchical Structures in Voxel-based Soft Robots

This work presents RoboLDA, a Bayesian probabilistic model that decomposes VSR morphology generation into a four-level hierarchy:"task-robot-organ-voxel", and is trained via variational inference, which pioneers hierarchical generative modeling of robot morphology.

Jun-Ru Song, Yang Yang, Jing-Dan Shi et al. · 0 citations