EP207: Robots learn the math of anticipation

Title: PRTS: A Primitive Reasoning and Tasking System via Contrastive RepresentationsSource: http://arxiv.org/abs/2604.27472v1Summary:PRTS establishes a new foundation model paradigm by reformulating VLA pretraining as Goal-Conditioned Reinforcement Learning to learn a unified goal-reachability embedding space. This architectural primitive bridges the gap between semantic reasoning and physical execution, enabling more robust long-horizon planning for autonomous agents.