Mobile Pancreatic Cancer Unitree H2 Surgical Humanoid with Priority VVUQ

In this study, an autonomous Claude Code agent carried an instruction specification through a generated codebase and full execution record regarding a 2030 Unitree H2-Surgical 1.0 humanoid performing a 60-second pancreaticoduodenectomy. The surgical humanoid code assurance process, not code generation, is the substantial and decision-bearing work; holding verification, validation, and uncertainty quantification to a higher standard than the code itself. This process is what will make physical AI oncology trials faster, less expensive, and more beneficial to patients. The run passed 172 of 172 automated tests, 64 of them in the ten-gate assurance suite. Each gate required a verification fraction of exactly 1.0, validation agreement up to 1.00, relative error as tight as 0.01, and a coefficient-of-variation bound as tight as 0.05; five decision cases resolved to ten ACCEPT, three BLOCK, and one ESCALATE, and all 32 of 32 sweep iterations cleared every gate near a composite mean of 93.6. In a four-entrant, simulation-against-simulation tournament the mobile humanoid placed second (93.334) to the stationary eight-arm PancreSpeed cart (93.782). Parallel arms shorten the throughput-weighted score, so the single humanoid trails by under half a point, whereas the prior PDAC paper featured the multi-arm baseline alone. The 1790-line comparison.json and the 1000-row sample_h2_sensor.csv reproduced byte-for-byte from seed 20260525. Binding every gate to published consensus standards already used in real life makes the assurance argument traceable and defensible to a regulator.