Tags :Psi R1

Psi R1 marks the release of the first reinforcement learning–driven Vision-Language-Action (VLA) model, successfully demonstrating dexterous, long-horizon task execution in an open-ended Mahjong environment. · Millimeter-Level Dexterous Manipulation: PsiBot’s dexterous hand achieves precise coordination across vision, language, and action modalities—executing human-like movements such as flipping, grasping, and organizing tiles with millimeter-level accuracy. · Human-Robot Interaction and Cognitive Decision-Making: The robot must understand Mahjong rules, interpret evolving game states, and dynamically generate strategies for discarding, melds (Pung/Kong), and reactive play—completing a full pipeline from rule interpretation to real-time reasoning and execution. · Reinforcement Learning–Enhanced Long-Horizon Execution: Validated in the Mahjong scenario, Psi R1 maintains a 30-minute+ Chain of Action Thought (CoAT)—breaking traditional limits of robotic task duration and reasoning continuity in...