Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learning
产业动态AI 58
来源：arXiv cs.RO发布时间待核实
arXiv:2608.23100v1 Announce Type: new Abstract: 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 learning reciprocally shapes morphological evolution remains unexplored.