An evolutionary model of animats with VLM-based subjective evaluation
In this study, we propose a framework that incorporates subjective evaluations provided by a Vision-Language Model (VLM) into the fitness evaluation and selection processes of a genetic algorithm. As the target of evolution, we employ virtual soft robots with flexible morphologies and locomotion and present the VLM with sequence images representing the locomotion of two individuals. Selection is performed via pairwise comparisons based on subjective evaluation terms such as adorably and weirdly. The outcomes of these comparisons are used as selection pressure within the genetic algorithm, enabling the simultaneous evolution of morphology and locomotion. Experimental results demonstrate th...
| Authors | Shota Miyazaki, Takaya Arita, Reiji Suzuki |
|---|---|
| Primary category | cs.NE |
| Published | 29 July 2026 |
| Last updated at source | 29 July 2026 |
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