{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__robotics_automation","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"robotics_automation","title":"Local coupled-mode diagnosis and damping for high-speed robot motion","opportunity_summary":"Use synchronized robot telemetry to identify locally repeatable, action-relevant coupled motion modes and evaluate bounded controller adjustments intended to damp hazardous oscillation. The proposal is testable and safety-bounded, but recurrence, benefit over joint-level or robust multivariable tuning, generalization, and distinctiveness remain unverified hypotheses.","adopter_authorizer":"The likely adopter is a facility motion-control or automation engineering team; deployment requires joint authorization from the facility's designated robot safety authority and motion-control owner.","scores":{"meaningful_impact":{"score":4,"rationale":"If the specified hidden coupled oscillation occurs, reducing chatter, path error, wear, dropped-payload risk, and protective stops would materially improve accuracy and safety. Its frequency and realized impact are unsupported in the sealed candidate."},"stakeholder_pull":{"score":3,"rationale":"Operators, motion-control engineers, safety engineers, and asset owners have plausible reasons to address unstable high-speed motion, but the packet contains no observed incidents, adoption requests, willingness to change controls, or demand evidence."},"incremental_advantage":{"score":3,"rationale":"Explicit modal prioritization could expose joint combinations missed by individual alarms and could target damping more selectively than worst-case multivariable tuning. No comparative result shows better detection, control performance, or safety outcomes."},"distinctiveness_plausibility":{"score":3,"rationale":"The composition has a specific testable distinction—prioritizing locally identified action-relevant modes with residual, conditioning, and drift gates—but prior art is explicitly unsearched, so differentiation from existing modal-control and identification practice is uncertain."},"technical_implementability":{"score":3,"rationale":"Required telemetry, local model fitting, replay, simulation, and guarded-cell testing are concretely specified. Implementability is limited by configuration dependence, non-normal transients, mode degeneracy, nonlinearities, saturation, backlash, controller switching, and unvalidated thresholds."},"adoption_authority_feasibility":{"score":4,"rationale":"The decision authority, analyst boundary, exclusions, halt criteria, rollback, and guarded first test are clearly assigned. Actual access to a robot, controller interfaces, approved test time, and authorization has not been demonstrated."},"evidence_readiness":{"score":4,"rationale":"The proposal identifies synchronized observables, held-out tests, physical-response checks, two independent falsifiers, comparators, and a bounded guarded experiment. Numerical acceptance budgets and empirical baseline data are still missing."},"safety_net_benefit":{"score":4,"rationale":"Shadow evaluation, safeguarded low-speed excitation, interlock preservation, saturation and vibration stops, restoration of the approved controller, and model quarantine provide substantial safeguards. Unsafe excitation or a destabilizing adjustment remains possible if gates or thresholds are inadequate."},"scalability":{"score":2,"rationale":"The method is explicitly local and may require repeated identification, validation, and authorization for each payload, configuration, contact state, controller version, and operating window. No evidence establishes transferable models or economical fleet-wide maintenance."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Replay existing logs, synchronize and quality-check signals, fit one local model, compare against joint-level diagnostics, run shadow simulation, prespecify thresholds, and conduct one authorized low-speed guarded-cell test on one robot and payload.","confidence":"LOW","assumptions":["Suitable synchronized logs and controller documentation already exist.","One robot and safeguarded cell are available without major hardware modification.","The work includes controls, safety, data, and test-engineering labor plus evaluation coordination.","No production workpiece or person enters the safeguarded space."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Engineer, validate, integrate, document, and obtain safety approval for a monitored controller change within one declared production operating window and robot cell.","confidence":"LOW","assumptions":["Existing controller interfaces permit bounded approved changes and rollback.","Additional sensing is limited rather than a full control-system replacement.","Validation must cover representative trajectories, payloads, failure responses, and production acceptance criteria.","The band includes engineering downtime, compliance work, software integration, and guarded testing."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Extend the validated approach across a limited facility deployment involving multiple relevant robots or operating windows, with per-cell validation, training, monitoring, rollback, and safety governance.","confidence":"LOW","assumptions":["Local models require substantial revalidation across configurations and payloads.","Robots and controllers are sufficiently compatible to share some tooling.","Production downtime and partner coordination are material.","This does not assume enterprise-wide or autonomous rollout."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Maintain a limited facility deployment through telemetry retention, model and threshold review, drift investigation, revalidation after payload or controller changes, software support, and periodic safety oversight.","confidence":"LOW","assumptions":["Multiple cells or operating windows are monitored.","Configuration and controller changes trigger engineering review.","Recurring costs include controls and safety labor, software, data infrastructure, test access, and downtime.","No evidence supports unattended automatic model updates."]}},"research_burden":"HIGH","earliest_credible_horizon":"12_TO_36_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The candidate clearly specifies an observable and falsifiable coupled-oscillation problem, but supplies no empirical case showing that it recurs beyond isolated sensor, fixture, reducer, or single-loop faults."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The motion-control engineering team is the identifiable adopter, while the facility's designated robot safety authority and motion-control owner jointly control deployment."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal claims that explicit action-relevant coupled-mode identification and bounded damping adjustments can outperform joint-level diagnosis or non-prioritized multivariable tuning; held-out decay, vibration, path error, actuator demand, residuals, and cross-mode effects can falsify it."},"bounded_next_evidence_step":{"status":"YES","reason":"The sealed candidate authorizes replay of existing logs, shadow simulation, and one low-speed guarded-cell excitation on one robot and payload, with explicit exclusions, halt conditions, and rollback."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"Authority is reserved to designated control and safety owners, and testing preserves interlocks and safeguarded-space controls with specified stop and rollback rules. Acceptance thresholds must still be fixed before testing."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The first test has a bounded scope, but the candidate does not define deployment scale, required sensing or controller access, validation workload across operating windows, downtime, or recurring monitoring effort; the supplied bands therefore rely on broad assumptions."}},"blocking_evidence":["Evidence that a repeatable multivariable weak-damping or growth pattern exists on held-out runs and is not adequately explained by a sensor, fixture, reducer, or single-loop fault.","Adequate model conditioning, spectral separation, held-out reconstruction, structured-residual performance, and agreement with guarded physical response within a declared operating window.","A controlled comparison showing that the predicted controller adjustment improves decay or vibration without unacceptable path error, actuator demand, residual growth, transient amplification, or degradation of another safety-relevant mode.","Prespecified acceptance budgets for conditioning, reconstruction, modal drift, actuator demand, vibration, path error, and safety-limit excursions.","Evidence that the method adds decision-relevant value over ordinary joint diagnostics and the stated multivariable robust or gain-scheduled rival.","A bounded prior-art review before any novelty or differentiation claim."],"next_evidence_step":"On one robot, payload, controller version, and declared low-speed operating window, replay synchronized existing logs and compare the coupled-mode model with ordinary joint-level diagnostics on held-out trajectories. Reject the opportunity if the pattern does not recur, a single-component fault predicts it adequately, or conditioning, reconstruction, residual, and physical-response thresholds fail. Only if replay and shadow simulation pass, conduct the already authorized guarded-cell excitation with approved limits, no production workpiece or person inside, and immediate rollback on any stated halt condition; this is evidence collection, not live deployment.","research_questions":["Does a coupled weakly damped, growing, or transiently amplifying pattern recur across held-out trajectories after excluding single-component faults?","Within which payload, configuration, speed, contact-state, and controller-version window are the fitted modes sufficiently stable and well-conditioned?","Does modal prioritization improve prediction or diagnosis relative to individual-joint alarms and aggregate tracking error?","Do predicted bounded controller changes improve held-out decay and vibration relative to the existing controller and the stated multivariable tuning rival?","What approved thresholds should govern reconstruction error, residual structure, modal drift, actuator demand, path error, transient amplification, and safety outcomes?","How much re-identification and reauthorization is required when payloads, configurations, controllers, or tooling change?","Is the composition materially differentiated from relevant existing practice when prior art is examined?","Will motion-control and safety owners permit the required data access, guarded testing, controller integration, and recurring monitoring?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment provides no evidence of problem prevalence, stakeholder demand, realized impact, market size, or adoption willingness.","Prior art is unsearched, so novelty and prevalence of comparable modal-control practice are unmeasured.","All recurrence, controllability, threshold, comparative-performance, safety-benefit, and scalability claims remain hypotheses.","Cost bands are resource-equivalent planning ranges, not quotes, and depend heavily on controller access, sensing adequacy, downtime, cell count, and revalidation frequency.","The local model must not be extrapolated across large moves, impacts, saturation, backlash, contact changes, payloads, configurations, or controller versions without new validation.","Stable eigenvalues alone do not exclude hazardous non-normal transient amplification.","Analyst interpretation does not authorize controller deployment."],"closed_book_prior_art_boundary":"No external search was performed and no claim is made about novelty, prior-art coverage, prevalence, market size, realized impact, or exact cost. Distinctiveness is assessed only as an unverified, testable difference from the baselines and nearest rival named in the sealed candidate."}