MorFiC: Fixing Value Miscalibration for Zero-Shot Quadruped Transfer
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来源：arXiv cs.RO发布时间待核实
arXiv:2603.14554v2 Announce Type: replace Abstract: Generalizing learned locomotion policies across quadrupedal robots with different morphologies remains a challenge. Policies trained on a single robot often fail when deployed on embodiments with different mass distributions, kinematics, joint limits, or actuation constraints, forcing per-robot retraining.