AI RESEARCH
AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation
arXiv CS.LG
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ArXi:2507.12768v2 Announce Type: replace-cross Learning generalizable manipulation policies hinges on data, yet robot manipulation data is scarce and often entangled with specific embodiments, making both cross-task and cross-platform transfer difficult. We tackle this challenge with task-agnostic embodiment modeling, which learns embodiment dynamics directly from task-agnostic action data and decouples them from high-level policy learning.