Artificial Intelligence #robot learning#continual learning
Robot Learning Reveals Emergent 'Self' Subnetwork in Continual Learning Studies
A new arXiv paper proposes a method to quantify an emergent 'self' in robots by identifying invariant subnetworks that persist during continual learning. The study finds that robots learning variable tasks develop a stable subnetwork that, when preserved, aids adaptation, and when damaged, impairs performance—validated across three robot platforms.
Jun 16, 2026 1 source