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This paper introduces PIER, an execution-authorization interface for robotic manipulation that decouples evidence verification from hardware control to address safety gaps in high-confidence but potentially unreliable sensor inputs. By enforcing deterministic gates and stage-scoped re-observation budgets, the system demonstrates how limited re-sensing can significantly reduce false denials of valid states under noisy conditions while highlighting inherent limitations of threshold-based checks against stale or deceptive data. The work provides a rigorous framework for inspectable robot decision-making without overstating its physical safety guarantees beyond calibrated input contracts.
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PIER: An Evidence-Gated Execution Interface for Robotic Manipulation

arXiv3 min read

arXiv:2610.12123v1 Announce Type: new Abstract: Generating a plausible robot action does not establish that current observations justify its execution. Motivated by exploratory observations of high-confidence visual outputs under severe occlusion, we present PIER, an execution-authorization interface that separates evidence checks, decision provenance, and stage-scoped re-observation from hardware control. The deterministic gate evaluates declared visual and tactile inputs, while its caller maintains a budget of at most one re-observation per stage. We evaluate the implementation using 1,600 threshold-grid cases and 1,200 paired synthetic traces spanning score noise, missing tactile inputs, stale observations, and falsely reassuring scores. The finite grid yields zero declared invariant violations, and a matched Boolean baseline reproduces all non-recovery decisions. Under synthetic score noise, re-observation reduces valid-state denials from 57/120 to 18/120 while increasing invalid-state proceeds from 5/120 to 7/120. Stale and falsely reassuring inputs expose limitations that threshold checks alone cannot resolve. Exploratory visual, tactile, and robot setup records provide context but do not establish physical task performance. These results characterize an inspectable authorization interface and its input-contract limitations, without claiming superiority over equivalent rule logic, calibrated tactile accuracy, or certified physical safety.

Abstract:Generating a plausible robot action does not establish that current observations justify its execution. Motivated by exploratory observations of high-confidence visual outputs under severe occlusion, we present PIER, an execution-authorization interface that separates evidence checks, decision provenance, and stage-scoped re-observation from hardware control. The deterministic gate evaluates declared visual and tactile inputs, while its caller maintains a budget of at most one re-observation per stage. We evaluate the implementation using 1,600 threshold-grid cases and 1,200 paired synthetic traces spanning score noise, missing tactile inputs, stale observations, and falsely reassuring scores. The finite grid yields zero declared invariant violations, and a matched Boolean baseline reproduces all non-recovery decisions. Under synthetic score noise, re-observation reduces valid-state denials from 57/120 to 18/120 while increasing invalid-state proceeds from 5/120 to 7/120. Stale and falsely reassuring inputs expose limitations that threshold checks alone cannot resolve. Exploratory visual, tactile, and robot setup records provide context but do not establish physical task performance. These results characterize an inspectable authorization interface and its input-contract limitations, without claiming superiority over equivalent rule logic, calibrated tactile accuracy, or certified physical safety.

8 pages, 4 figures. Ancillary files include reproducibility code and retained experimental records

Robotics (cs.RO)

arXiv:2610.12123 [cs.RO]

(or arXiv:2610.12123v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2610.12123 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

EVIDENCE_LEDGER.md

contract_validation/contracts/v0.1/examples/dataset_manifest.json

contract_validation/contracts/v0.1/examples/episode_001/calibration.json

contract_validation/contracts/v0.1/examples/episode_001/capture_profile.json

contract_validation/contracts/v0.1/examples/episode_001/capture_receipt.json

contract_validation/contracts/v0.1/examples/episode_001/episode_record.json

contract_validation/contracts/v0.1/examples/episode_001/evaluation.json

contract_validation/contracts/v0.1/examples/episode_001/events.jsonl

contract_validation/contracts/v0.1/examples/episode_001/route_graph.json

contract_validation/contracts/v0.1/examples/episode_001/tracks.csv

contract_validation/contracts/v0.1/schemas/calibration.schema.json

contract_validation/contracts/v0.1/schemas/capture-profile.schema.json

contract_validation/contracts/v0.1/schemas/capture-receipt.schema.json

contract_validation/contracts/v0.1/schemas/dataset-manifest.schema.json

contract_validation/contracts/v0.1/schemas/episode-record.schema.json

contract_validation/contracts/v0.1/schemas/evaluation.schema.json

contract_validation/contracts/v0.1/schemas/event.schema.json

contract_validation/contracts/v0.1/schemas/route-graph.schema.json

contract_validation/contracts/v0.1/schemas/track-record.schema.json

contract_validation/pier_contracts/__init__.py

contract_validation/pier_contracts/cli.py

contract_validation/pier_contracts/schema_check.py

contract_validation/pier_contracts/validator.py

contract_validation/references/public_datasets.json

contract_validation/test_results.json

contract_validation/test_results.txt

contract_validation/tests/test_contract.py

evidence/demo_trace_rerun.jsonl

evidence/descriptive_statistics.json

evidence/fault_campaign_rerun.json

evidence/remote/experiments/public_datasets/adapter_audit.json

evidence/remote/experiments/public_datasets/distantsky_tsfile_audit.json

evidence/remote/pier_execution/__init__.py

evidence/remote/pier_execution/demo_trace.py

evidence/remote/pier_execution/gate.py

evidence/remote/pier_execution/models.py

evidence/remote/pier_execution/simulation.py

evidence/remote/pier_execution/trace.py

evidence/remote/pier_execution/verification.py

evidence/stress_runs/stress_dnry6hfs/cases.jsonl

evidence/stress_runs/stress_dnry6hfs/summary.json

evidence/verification_rerun.json

reproduce_software.py

stress_authorization.py

(41 additional files not shown) You must enabled JavaScript to view entire file list.

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Full text under the publisher's open licence · 345 words

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