Stanford's RoboArchitect Boosts Robot Success Without Touching Weights

Stanford's RoboArchitect automatically designs agent harnesses around frozen VLA policies—deciding when to query the policy or invoke tools—boosting success on unseen scenarios from 9.7% to 43.3% without modifying any model weights.

2026-11-02 ~ 2026-11-03 · 3 related posts

• Stanford's RoboArchitect Auto-Designs Robot Harnesses, Lifting Unseen-Scene Success from 9.7% to 43.3% — Shengguang Wu · 2026-11-02
• RoboArchitect turns frozen VLA policies into memory-equipped robot agents, lifting success rates — _Hao_Zhu · 2026-11-03
• Stanford's RoboArchitect lifts frozen robot policies from 9.7% to 43.3% success without touching weights — dair_ai · 2026-11-03