MEMO accepted at IROS 2026

Our work "From Local Corrections to Generalized Skills: Improving Neuro-Symbolic Policies with MEMO", in collaboration with Collab at Virginia Tech, was accepted at “IROS 2026”. MEMO builds a retrieval-augmented skillbook from natural-language corrections, clustering feedback across users and tasks into generalized skill templates that a neuro-symbolic policy can retrieve at run time.