2026
Learning to Reconfigure: Co-designing Reconfigurable robots for Heterogeneous Locomotion
ICML 2026poster
Traditional robot co-design approaches typically converge to \textit{one} configuration, which do not explore the flexibility from reconfiguration on heterogeneous environments. On the other hand, existing designs for reconfigurable robots require human-designed configurations. We present Learning t…