Robot policies are being judged by execution mechanics, not benchmark scores alone
Robot learning work centered on making policies executable under real control constraints. ZR-0, T2VLA, and Chronos show the main emphasis: cross-embodiment supervision, reward-free test-time improvement, and memory…