RoboPocket: Improve Robot Policies Instantly with Your Phone

ArXi:2603.05504v2 Announce Type: replace-cross Scaling imitation learning is fundamentally constrained by the efficiency of data collection. While handheld interfaces have emerged as a scalable solution for in-the-wild data acquisition, they predominantly operate in an open-loop manner: operators blindly collect nstrations without knowing the underlying policy's weaknesses, leading to inefficient coverage of critical state distributions.