Applications of action languages in cognitive robotics

Abstract

We summarize some applications of action languages in robotics, focusing on the following three challenges: 1) bridging the gap between low-level continuous geometric reasoning and high-level discrete causal reasoning; 2) embedding background/commonsense knowledge in high-level reasoning; 3) planning/prediction with complex (temporal) goals/constraints. We discuss how these challenges can be handled using computational methods of action languages, and elaborate on the usefulness of action languages to extend the classical 3-layer robot control architecture