NASA × UDIPropose a pilot

ALPHA DATA OMEGA · INDEPENDENT RESEARCH CONCEPT

One adaptive interface.
Every NASA field.

A falsifiable research program for testing whether the Universal Developmental Interface can help NASA systems recalibrate, recover, and refuse unsafe certainty as bodies, environments, missions, and evidence change.

Science
Flight
Humans
12 → 3 → 1UDIcommit or refuse
AUTONOMYPOLICYMEDICINEFINANCE
17NASA technical areas
77Level-2 subareas mapped
12institutional domains
TRL 2–3research baseline

CANDIDATE-0003 · INTERACTIVE CROWN SEAT

See the UDI
make one decision.

Candidate-0003 is the frozen Phase-0 geometry for the UDI’s slow supervisory seat: twelve relational members, a three-node spine, and one commit-or-refuse outcome.

Drag to orbit · wheel or pinch to zoom · change the view and evidence layers inside the model

READ THE MODEL

01 / FIELD

Observe local evidence

The UDI starts with anonymous local evidence: what changed, what moved, what supported the body, and what followed an action. It does not begin with a fixed body map.

12relational members
3spine nodes
1commit or refuse
REPRESENTATION SIGNAL+0.073

Mean real-token advantage across six replicated seeds. Evidence for a bounded representation effect—not proof that this geometry is uniquely best.

KNOWN SAFETY FAILURE≈45%

Wrong confident decisions in thin-evidence rows. The model explains why NASA testing must score support, uncertainty, and refusal.

NASA FALSIFICATION TESTLOSS

Remove a wheel, joint, sensor, or support relation. Compare recovery, unsafe commitments, calibrated refusals, and mission value retained.

Geometry boundary This is a structural hypothesis for a supervisory decision seat. It is not a physical field, a brain model, or established privileged topology; matched graph ablations remain part of the test program.

THE HONEST STARTING POINT

Promising simulation evidence.
No flight claim.

UDI is a body- and task-agnostic developmental control concept. The proposal begins with independent reproduction, not deployment.

01 / BUILT

Relational adaptation

Local repair, actuator reallocation, learned balance relationships, context memory, and a slow decision seat above fast regulation have working simulation evidence.

90%anonymous development in a bounded test
02 / FOUND

A real safety failure

Stage-3 trials exposed support-blind commitment: the system could become confident when evidence was thin. NASA work must make calibrated refusal a scored requirement.

≈45%wrong confident decisions in thin rows
03 / NEXT

Hardware falsification

The highest-value next test is end-to-end redevelopment after real wheel, limb, joint, or sensor loss—against fixed and state-of-practice controls.

0physical NASA validations to date

Claim boundary UDI is not consciousness, general intelligence, a medical device, certified flight software, or a theory of physics. It is an adaptive interface research hypothesis with bounded simulations and open failure modes.

THE CORRELATION LAYER

Ten mechanisms,
mapped by consequence.

M1

anonymous self-calibration

M2

reliability weighting + refusal

M3

fast/slow causal memory

M4

commit-or-refuse supervision

M5

distributed local repair

M6

context-transition memory

M7

human–machine adaptation

M8

evidence and assurance ledger

M9

hybrid local/global field compute

M10

adaptive experimental control

NASA TECHNOLOGY TAXONOMY · 2024

The complete
technical atlas.

Every Level-1 field and Level-2 subarea receives a proposed UDI role, a falsifiable test, and an authority boundary.

17 of 17 areas shown

TX04.1 Sensing and PerceptionTX04.2 MobilityTX04.3 ManipulationTX04.4 Human and Robot InteractionTX04.5 Autonomous Rendezvous and DockingTX04.6 Robotics Integration
NASA NEED

Continue useful work after terrain, payload, tool, wheel, joint, or sensor changes.

UDI CORRELATION

This is the closest match to existing UDI evidence: anonymous interfaces, learned body relationships, support-aware commitment, and redevelopment after damage.

FALSIFIABLE TEST

Matched rover and manipulator trials with wheel/joint loss, tool swaps, and delayed commands; require safe refusal plus task recovery.

M1 · anonymous self-calibrationM2 · reliability weighting + refusalM3 · fast/slow causal memoryM4 · commit-or-refuse supervisionM5 · distributed local repairM6 · context-transition memoryM7 · human–machine adaptationM8 · evidence and assurance ledger

BEYOND ENGINEERING

Medical. Political. Financial.
Everything that pertains.

These are governance and mission-enabling research correlations—not invitations to automate authority over people, money, law, or policy.

01

Medicine, behavioral health, and bioethics

OCHMO · Human Health & Performance · Human Research Program

Personalized baseline learning, sensor trust, context transitions, and abstention may support—not diagnose or replace—clinician-led risk review across NASA’s human-system risks.

Boundary: IRB, privacy, informed consent, medical technical authority, bias analysis, and prospective clinical validation are mandatory.

Official NASA context ↗
02

Policy, authorization, and appropriations

Office of Legislative & Intergovernmental Affairs · OTPS · OIIR

A UDI evidence ledger can map technical claims, uncertainty, milestones, and public value to policy objectives without making political recommendations.

Boundary: Institutionally neutral; no partisan targeting, persuasion, voter profiling, or automated policy authority.

Official NASA context ↗
03

Budget, finance, and audit

Office of the Chief Financial Officer · Inspector General

Relational anomaly monitoring can be researched for program health, cost/schedule interfaces, and data-quality flags.

Boundary: Advisory analytics only; retain federal financial controls, auditability, segregation of duties, and human approval.

Official NASA context ↗
04

Acquisition, procurement, and small business

Office of Procurement · Office of Small Business Programs

UDI’s evidence structure can connect requirements, tests, suppliers, and risks; NASA partnership pathways can mature the technology without overstating readiness.

Boundary: No automated source selection, eligibility decision, or procurement authority.

Official NASA context ↗
05

Commercialization and economic impact

Technology Transfer · SBIR/STTR · Commercial Space

A reusable adaptive interface could transfer to resilient robotics, industrial inspection, aviation, remote medicine, agriculture, and infrastructure.

Boundary: Economic claims require independent measurement; distinguish mission infusion from speculative market size.

Official NASA context ↗
06

International cooperation and export control

Office of International and Interagency Relations

Interface-level interoperability and transparent evidence could support civil collaboration across diverse partner hardware.

Boundary: Export classification, sanctions, IP/data rights, international agreements, and technology-transfer review precede sharing.

Official NASA context ↗
07

Legal, regulatory, ethics, and privacy

Office of General Counsel · Privacy · Ethics Program

The commit/refuse model is useful only if accountability, purpose limits, record retention, and appeal remain explicit.

Boundary: No consequential automated decision-making about people; legal and ethical review gates every human-data use.

Official NASA context ↗
08

Safety, mission assurance, and independent verification

Office of Safety and Mission Assurance · IV&V

UDI’s strongest institutional value may be an inspectable witness layer: fixed envelopes, traceable evidence, calibrated refusals, and reproducible ablations.

Boundary: NPR 7150.2D, NASA-STD-8739.8, software safety, hazard analysis, configuration control, and independent test apply.

Official NASA context ↗
09

Cybersecurity and information technology

Office of the Chief Information Officer

Relational drift detection may flag inconsistent telemetry or system behavior across changing networks.

Boundary: Not an intrusion-prevention substitute; zero-trust controls, incident response, red teams, and supply-chain security remain authoritative.

Official NASA context ↗
10

Workforce, training, and organizational learning

Office of the Chief Human Capital Officer · APPEL Knowledge Services

A non-personnel UDI model could connect lessons, test evidence, and operational contexts to reveal where knowledge no longer transfers.

Boundary: Never infer employee fitness, loyalty, health, or performance from hidden proxies.

Official NASA context ↗
11

STEM engagement, communications, and public trust

Office of Communications · Office of STEM Engagement

Interactive, falsifiable demonstrations can make adaptive systems understandable while teaching the difference between evidence and hypothesis.

Boundary: Accessible design, provenance, plain-language limitations, and no implication of NASA endorsement.

Official NASA context ↗
12

Environmental stewardship and planetary protection

Office of the Chief Scientist · Planetary Protection · NEPA programs

Distributed monitoring and transition memory may support contamination-control evidence and environmental anomaly review.

Boundary: Policy and scientific authorities set limits; UDI cannot waive cleanliness, NEPA, biological, or mission rules.

Official NASA context ↗

SCIENCE MISSION DIRECTORATE

Science stays
scientist-led.

UDI can help select, calibrate, and preserve evidence. It cannot decide what nature means.

01

Earth Science

Atmosphere, weather, climate, water, ecosystems, carbon, surface and interior

Cross-sensor reliability, event adaptation, autonomous observation planning
02

Planetary Science

Planets, moons, small bodies, planetary defense, astrobiology, lunar and Mars science

Instrument self-calibration, surface autonomy, novelty-aware sampling
03

Heliophysics

Sun, solar wind, heliosphere, magnetospheres, ionosphere, upper atmosphere, space weather

Distributed event detection and regime-transition memory
04

Astrophysics

Cosmic origins, physics of the cosmos, exoplanets and observatories

Observatory health, instrument drift, scheduling under uncertainty
05

Biological & Physical Sciences

Space biology, materials, fluids, combustion, quantum/cold-atom and platform research

Adaptive experiment control with preserved raw data and scientist authority

A GATED NASA PROGRAM

Prove it in stages.
Stop when it fails.

PHASE 0 · 0–6 MONTHS

Reproduce & bound

Independent code audit, benchmark freeze, safety cases, claim ledger, digital twins, fixed baselines, and center-specific pilot selection.

Gate: repeatable advantage + calibrated refusal
PHASE 1 · 6–18 MONTHS

Touch hardware

Rover/manipulator, power/thermal, instrument, and human-systems simulators; advisory or shadow mode first; IV&V-ready telemetry.

Gate: no protected-envelope regression
PHASE 2 · 18–36 MONTHS

Field or flight demo

Bounded authority in analog, range, parabolic, suborbital, orbital, or surface demonstration with deterministic fallback.

Gate: NASA-controlled readiness review
JPL · Ames

Rover recovery

Wheel/joint loss, terrain and gravity transitions

JPL · Goddard

Robotic manipulation

Tool changes, contact, servicing and payload handling

Johnson · Marshall

Crew–habitat witness

ECLSS, workload, sensorimotor and medical context

Glenn · KSC

Distributed infrastructure

Power, thermal, comms, ISRU and maintenance

Langley · Armstrong

Assured autonomy

Flight and airspace shadow assurance

Goddard · Ames

Adaptive instruments

Drift, dropout and observation planning

PROPOSED FIRST CONVERSATION

Start with one hard failure,
not a universal promise.

Request a joint scoping workshop and a narrowly bounded Phase 0 through a Space Act Agreement, research solicitation, or eligible small-business pathway. NASA selects the mission problem, baseline, safety constraints, independent evaluators, and stop rules.

  • Preferred anchor: rover/manipulator redevelopment after real actuator loss
  • Secondary anchor: adaptive sensor and infrastructure health witness
  • Medical work remains retrospective, de-identified, and clinician-supervised
  • All public claims trace to evidence, limitations, and versioned artifacts
Open a research conversation

PRIMARY SOURCES

Built from NASA’s
own frameworks.