MAMBO-VLA: BimanualBrain with Memory on Intel Xeon

Most dinner-table demos you will see this week move beautifully. Ours moves honestly — and we can prove every frame. MAMBO-VLA (Multi-modal Action Manipulation for Bimanual Operations via VLA) is a single learned brain driving two SO-101 arms through a dinner-table relay in MuJoCo: pick, table set-down, handover, place — from one natural-language instruction plus four camera views. Router-gated ACT: one checkpoint, one relay sentence accepted, anything else refused with 0 steps; the policy never guesses. One brain that never confuses being safe with being fast: a 40.8 ms latency path and a 27.85 FPS aggregate throughput path (6.96 per-stream) on Intel Xeon CPU, measured with OpenVINO, never promised in prose. The numbers, frozen before running: 3/10 closed-loop on seeds 0–9 (seeds 1/7650, 4/7775, 7/7750 place; random baseline 0/10, swap control 0/10 by refusal), trained on 60 scripted demonstrations, exported to 66.658 MB FP32 IR at 1.19e-06 parity. OOD honesty kept: vehicle places 2/40 across seeds 60–99 (65, 93), misses kept. We are also the team that ablated memory itself: zero- versus swapped-image perturbation gates, proprioception versus vision (dependence ratio 6.6 → 3.3 across training), and peak selection at 20.5 epochs versus collapse at 41 (v3-200k 0/10). Nobody else will show you their collapse curve. We print ours — because a 3/10 you can reproduce beats a 10/10 you cannot. Three earlier lines of work died to earn this vehicle: an ACT baseline killed by branch collapse, a 450M VLA fine-tune stopped by its divergence guard, a geometric impossibility filed — not deleted. On Intel, we ran a 12-thread Xeon E-2386G CPU-only with documented hint/stream/shape tuning; no NPU/iGPU on node; FP16 measured as a no-op and reported as such. Repo, benchmark logs, demo video and brief are public and pinned to exact versions. Judge the code, not the video. Ours is frozen, hashed, and honest.