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NODERIQ-RCN / Collaborative R&D

NODERIQ-RCN

Research for resilient collective operations.

NODERIQ-RCN investigates the difficult problems around shared context, heterogeneous device handoffs and recovery when connections degrade. It builds on the NODERIQ classical product through a separate collaborative R&D initiative.

Consortium development ongoing · research and validation goals

Explore the research directionNODERIQ product & console
Stationary inspection rover and separate manipulator in a dark engineering studio, with a sensor module and closed notebook in front
Conceptual robotics setting · distinct machine roles

Consortium development

Complementary expertise. One research programme.

We are developing an international consortium with robotics, university and communications teams across the UK, Türkiye and France. The programme aims to investigate fragmented operational context, mixed-platform coordination and evidence continuity under demanding conditions.

CELTIC and Horizon Europe funding routes are being explored. Consortium development is ongoing; the current brief does not establish awarded funding, a confirmed consortium or proven field solutions.

Mission intelligence / Product & R&D briefOne mission. Many machines.The NODERIQ mission-intelligence product and NODERIQ-RCN, its separate collaborative R&D initiative.Read briefClose brief

Mission intelligence for autonomous systems

01 / 05

One mission. Many machines.

NODERIQ is Neura Parse’s mission-intelligence product, ready for integration into real operational workflows. It connects shared context, coordinated work and human judgement around the capabilities a mission needs, across different autonomous systems.

Concept illustration · land, air and water in a shared mission setting

Intelligence that sees the whole mission

Every machine sees part of the world. Every team brings a different capability. The opportunity is to connect those perspectives into purposeful action: shared context, coordinated work and decisions people can understand.

From infrastructure and industry to remote environments, NODERIQ helps teams organise around a shared mission. Alongside the product, NODERIQ-RCN is our separate collaborative R&D initiative, extending this direction through international expertise and new applications.

The world around the mission

02 / 05

A world that keeps changing

Autonomous systems are moving into places where conditions never stand still. Information arrives unevenly. Priorities shift. Machines share routes, resources and attention with people. A useful mission must respond to that whole picture.

Concept illustration · people bringing different perspectives to a mission

The opportunity is collective

A drone may reveal what a ground robot cannot see. A fixed sensor can add context. A workcell or specialist platform can carry the next task forward. NODERIQ’s role is to connect these strengths while preserving each platform’s expertise and local control.

NODERIQ brings network awareness into mission decisions, considering latency, degraded links and available computing resources. Essential decisions stay close to the action. People remain responsible for consequential choices, while local controllers retain their independent safety role.

The Neura Parse connection

03 / 05

Different intelligence. One direction.

Sensors reveal only part of a changing world. Models help interpret it. Networks carry context. Agents organise work. NODERIQ connects these layers around a shared mission, so the right capabilities can contribute with coordination and human oversight.

Concept illustration · sensing, computation and physical work

NODERIQ is the product at the centre of this mission view. NowFlow brings agents, tools and people into governed workflows. The NeuraOS software reference supplies an edge foundation, connecting approved intent with execution records and traceable outcomes.

QANTIS quantum experiments on IBM Heron and QFlow’s experimentation tools add a complementary R&D horizon. They explore new approaches to decisions under uncertainty. NODERIQ’s product operation remains classical; quantum work informs future possibilities rather than being a runtime requirement.

Product capability and exploratory work share a common purpose, with a clear boundary between what is available and what is being investigated.

NODERIQ-RCN / Collaborative R&D

04 / 05

Extending the horizon through collaboration

NODERIQ-RCN is the collaborative R&D initiative alongside the NODERIQ product. We are developing an international consortium with robotics, university and communications teams across the UK, Türkiye and France, while exploring CELTIC and Horizon Europe funding routes.

Concept illustration · an engineering workbench for distinct platform roles

Engineering the next operating frontier

Putting intelligence into the physical world takes more than connecting software. Sensors, communications, models and hardware have to be understood together. Timing, operating conditions and human behaviour can change what is possible.

RCN builds on the ready NODERIQ product to investigate broader applications, platform-specific integration and physical validation. Complementary expertise will help shape the experimental programme, test demanding conditions and develop new capabilities with evidence from the environments they are intended to serve.

An open invitation

05 / 05

What comes next starts with a mission

NODERIQ gives builders and operators a product foundation for shared mission intelligence. The opportunity spans infrastructure, industrial coordination and remote operations where fragmented context or difficult conditions make collective action harder.

Concept illustration · a possible future infrastructure setting

For product engagement, begin with your operational goal and the systems already in place. For NODERIQ-RCN collaboration, bring a challenge that benefits from shared investigation, specialist expertise or validation across new environments.

Choose the conversation that fits

Whether you want to use NODERIQ or help shape NODERIQ-RCN, bring your part of the picture: a platform, a constraint or a new perspective. We can identify the right product path or define a focused collaborative application.

A focused starting point

Discuss NODERIQ product integration or a focused NODERIQ-RCN research collaboration.

Discuss a mission

13 October 2026 5 pages PDF, 2.9 MB

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01Operating model

The core remains useful at the edge, separates recommendation from authority, and treats alternative compute as a measured extension.

Conceptual map joining observations from a rover, drone, watercraft and stationary sensors while keeping their evidence layers distinct
Shared-world research concept · sources and uncertainty stay visible

Investigate sensing, transfer, queuing, inference and approved handoff under a defined workload. Compare local and remote processing without treating host timing as physical-device performance.

Study lost replies, duplicate commands, restart during recovery and uncertain workcell ownership. Define expected records before a host/QEMU run; proposed experiments are not reported results.

Build a shared, uncertainty-aware view from observations that may be incomplete, delayed, stale, or contradictory. Source, recency, and confidence remain part of the record instead of disappearing inside a fused map.

Help heterogeneous platforms coordinate tasking, routes, resources, and information priorities without assuming that a central connection is always available.

Keep recommendations separate from authority. Consequential actions are framed by policy, review state, uncertainty, and an accountable human decision path.

Keep the core useful near the operating system, sensors, and platform runtime. External services can add value, but loss of cloud or specialist compute must not remove the classical operating path.

Evaluate selected planning or belief-estimation workloads across classical, quantum-inspired, and quantum methods only where a common problem definition and a credible baseline make comparison meaningful.

Human authority remains explicit when evidence cannot support continuation.
  1. 01

    Receive platform, sensor, environmental, and operator observations with their source and time context.

  2. 02

    Represent uncertainty, freshness, disagreement, and missing information instead of flattening them into false certainty.

  3. 03

    Exchange the smallest useful evidence so participating systems can maintain a coherent operational picture under constrained links.

  4. 04

    Revisit task, route, resource, and information priorities when the environment or the available team changes.

  5. 05

    Check recommendations against physical constraints, mission policy, time context, and the evidence available at that moment.

  6. 06

    Route ambiguity, risk, and policy exceptions to accountable human authority with the supporting record attached.

02NODERIQ-RCN / Collaborative R&D

NODERIQ-RCN builds on the ready classical NODERIQ product to investigate broader applications, platform-specific integration and physical validation. Hybrid and quantum research remains a separate, evidence-gated track.

Stage 01R&D baseline

Use the ready NODERIQ classical product as the baseline for broader applications, platform-specific integration, physical validation, and reproducible resilience evaluation.

  • Research and evaluation environment
  • Simulation and resilience test packs
  • Edge runtime components
  • Operator review and evidence surfaces
Stage 02Measured extension

Describe selected non-safety-critical workloads once, run strong classical baselines first, and compare alternative solvers under the same constraints and evidence model.

  • Common workload definitions
  • Classical and quantum-inspired comparisons
  • QFlow experiment evidence
  • Policy-controlled compute routing research
Stage 03Research gate

Advance a quantum route only when controlled measurements preserve the problem, survive hardware constraints, and show an operationally relevant reason to continue.

  • Provider-neutral evaluation records
  • Hardware-calibrated experiments
  • Classical fallback at every gate
  • Advisory pilots only where justified
Conceptual indoor handoff between a mobile carrier, manipulator, drone and human operator
Robotic workflow concept · proposed handoffs, not a field deployment
Read the seven proposed delivery checks
The checks separate research intent from field-ready claims.
  1. 01

    Name the user problem, operating boundary, human authority, and classical baseline.

  2. 02

    Evaluate a focused extension to the NODERIQ product without relying on specialist external compute.

  3. 03

    Run repeatable TEVV across uncertainty, degraded links, sensor loss, and recovery.

  4. 04

    Connect edge runtimes, data flows, operator tools, and existing mission systems.

  5. 05

    Evaluate a bounded dual-use scenario with named users and explicit acceptance evidence.

  6. 06

    Add configuration control, training, updates, support, and lifecycle evidence.

  7. 07

    Keep hybrid and quantum work on a separate comparison track until it earns promotion.

03R&D compute and evidence gates

Essential local operation and safety-critical control stay classical. Alternative methods are eligible only for bounded questions with a strong classical baseline.

Read the compute-gate method
A dominant classical edge-compute path with secondary quantum-inspired and quantum evaluation lanes returning evidence to a review board
Classical core remains continuous · optional routes return evidence

G0

Is the workload explicit, measurable, latency-tolerant, and safe to evaluate outside the local control loop?

G1

Does the alternative method produce valid results in a controlled environment against a strong classical reference?

G2

Does execution on available hardware preserve the information, constraints, and uncertainty needed by the planner?

G3

Does the complete path add decision value after accuracy, latency, reliability, cost, and review burden are considered?

Complete evidence recordQuality, coordination, assurance, resilience, recovery, and fit.06 dimensions +

M-01

World-model quality

How accurately the shared view represents the available evidence, uncertainty, contradictions, and change over time.

M-02

Coordination quality

Whether plans remain feasible, useful, and adaptable as links, sensors, platforms, and priorities change.

M-03

Assurance quality

Whether recommendations can be traced, reviewed, challenged, replayed, and escalated through the intended authority path.

M-04

Edge resilience

Whether essential classical capability continues within the defined local resource and connectivity envelope.

M-05

Recovery behaviour

How safely the system returns to a coherent state after stale data, platform loss, reconnection, or operator intervention.

M-06

Operational fit

Whether the result reduces burden or improves decision quality enough to justify integration, support, and lifecycle cost.

04Connected work

NODERIQ is the mission-intelligence product. NODERIQ-RCN is the separate collaborative R&D initiative alongside it. NowFlow, NeuraOS, QFlow Studio and QANTIS retain their own purposes, statuses and evidence.

S-01Sensor and connectivity evaluation

Connect source freshness, end-to-end timing and link conditions to a bounded mission decision. Keep the product, engineering service and proposed research evidence distinct.

S-02Mission-intelligence product

Connects shared context, coordinated work and human judgement. NODERIQ-RCN is the separate collaborative R&D initiative alongside it.

S-03Public solution surface

Frames human-centred evaluation scenarios for infrastructure inspection, emergency logistics, field service, and connected mobility.

S-04Governed edge runtime

Provides approved local inference, workload identity, independent safety, telemetry, signed release, evidence, and rollback context for bounded platform work.

S-05Agentic mission workflow

Coordinates bounded agents, named human release, approved robot or fleet handoffs, exceptions, recovery, and accountable evidence around recommendations.

S-06Experiment evidence

Keeps alternative-compute experiments, assumptions, baselines, provider context, results, and promotion decisions connected.

S-07Decision research

Explores bounded belief-estimation and optimisation questions while leaving policy and action authority with classical systems.

Earlier programme record
Robotic workflowsA robot task is not a prompt. It is a verifiable workflowAutonomy ecosystemOne mission, many machinesUse-case atlasWhere NodeRiQ should prove robotics value firstShared contextWhen autonomous systems stop seeing the same worldHuman authorityFrom recommendation to accountable authorityHybrid computeWhy hybrid compute must earn its placeProductisationFrom simulation to a resilient edge pilot

05Public boundary

The current brief describes NODERIQ as ready for product integration and NODERIQ-RCN as a separate collaborative R&D initiative. It does not establish a certified capability, customer deployment, universal platform compatibility, awarded funding or quantum advantage. Physical validation and platform-specific acceptance retain their own evidence requirements.

  • Named authority for consequential decisions
  • Visible uncertainty and disagreement
  • Reviewable policy and evidence context
  • Replay and incident-learning path
Q01Is NODERIQ available for integration?

Yes. The current company brief describes NODERIQ as a mission-intelligence product ready for integration into real operational workflows. Platform-specific integration, physical validation, local safety and the accountable human authority path are considered for each application. Product availability does not establish a customer deployment, certification or universal compatibility.

Q02What is NODERIQ-RCN?

NODERIQ-RCN is the separate collaborative R&D initiative alongside the NODERIQ product. It investigates broader applications, platform-specific integration and physical validation with complementary international expertise. CELTIC and Horizon Europe funding routes are being explored; the brief does not establish awarded funding or a confirmed consortium.

Q03Does NODERIQ require quantum computing?

No. NODERIQ product operation is classical. QANTIS and QFlow provide a complementary R&D horizon for selected planning or belief-estimation workloads, evaluated against classical baselines. Quantum computing is not a product runtime requirement.

Q04What does verifiable mean here?

It means recommendations are intended to be traceable, reviewable, and connected to their evidence and authority path. It does not claim formal verification, certification, mathematical correctness, or guaranteed mission performance.

Q05Which robotic workflows can NODERIQ evaluate?

Public PoC profiles include inspection-to-maintenance, AMR-to-workcell handoffs, remote field evidence continuity, priority logistics, and mixed-fleet task completion. These are proposed non-production evaluation structures, not completed customer deployments or certified integrations.

Q06What remains outside the public description?

Implementation-level model designs, data schemas, messaging protocols, security mechanisms, routing thresholds, detailed test parameters, operational configurations, proposal material, and unverified performance figures remain outside this public surface.

Primary sources12 records +
S01Google — Gemini Robotics ER 2 task orchestration and multi-robot collaboration↗S02Google DeepMind — Gemini Robotics ER 2 model card↗S03VDA / VDMA — VDA 5050 Version 3.0.0↗S04Open-RMF — Multi-fleet robot management and public demonstrations↗S05OPC Foundation — OPC UA for Robotics 1.02↗S06NVIDIA — Halos for Robotics↗S07NATO — Summary of the Autonomy Implementation Plan↗S08NATO — Revised Artificial Intelligence Strategy↗S09NATO — Rapid Adoption Action Plan↗S10UK MOD — JSP 936 Dependable AI in Defence↗S11NIST — AI Risk Management Framework↗S12QANTIS — Hardware-calibrated sequential POMDP belief updates↗

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