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Deterministic motion utility kernel for frozen wire-v1 robotics transport and replay.

Project description

ZPE-Robotics Masthead

ZPE-Robotics

Install Python License

SAL v6.2 — free below $100M annual revenue. See LICENSE.


What This Is

WHAT THIS IS

187× compression on real robot data. Red-team tested. pip install -e . from clone (PyPI publication pending).

ZPE-Robotics is motion telemetry infrastructure — deterministic logging, compressed replay, and PrimitiveIndex search over joint streams. Built for robotics infrastructure teams and simulation/replay platforms where motion logs are expensive to store, slow to search, and impossible to replay deterministically. The package is public. The governing engineering surface remains blocker-state.

Field Value
Architecture MANIFOLD_MOTION
Encoding WIRE_V1

Key Metrics

Metric Value Baseline
COMPRESSION 187׆ vs zstd_l3 4.44× (42× better)

† Bounded-lossy (angular fidelity ≤ 0.5° on smooth trajectories; step/discontinuous inputs cause Gibbs ringing — 68° RMSE measured on unit-amplitude step signal); baselines are lossless. | ENCODE_P50 | 0.11 | ms | | DECODE_P50 | 0.09 | ms | | BENCHMARK_GATES | 4/5 | 3 datasets, 3 families |

Source: proofs/enterprise_benchmark/benchmark_result.json | proofs/enterprise_benchmark/GATE_VERDICTS.json | proofs/artifacts/lerobot_expanded_benchmarks/aggregate_spread_summary.json

Competitive Benchmarks

Full competitive analysis: BENCHMARKS.md | Source: proofs/enterprise_benchmark/benchmark_result.json | proofs/red_team/red_team_report.json

Tool Compression Ratio Notes
ZPE P8 187.13׆ governing LeRobot real-data benchmark; PrimitiveIndex search requires decode
zstd_l19 4.59× strongest retained classical codec in the benchmark set
zstd_l3 4.44× red-team attack 1 baseline; ZPE is 42.14× better
gzip_l9 3.97× retained gzip baseline
mcap_zstd 3.99× MCAP container baseline
lz4_default 3.00× low-latency baseline
h5py_gzip9 2.69× HDF5 gzip baseline
h5py_lzf 2.15× HDF5 fast baseline

† Bounded-lossy (angular fidelity ≤ 0.5° on smooth trajectories; step/discontinuous inputs cause Gibbs ringing — 68° RMSE measured on unit-amplitude step signal); all other baselines are lossless.

What We Prove

Auditable guarantees backed by committed proof artifacts. Start at AUDITOR_PLAYBOOK.md.

  • Spectral wire transport with directional reasoning layer for robot action sequences
  • Search operates on decoded motion streams via PrimitiveIndex
  • Red-team resilience: 3 attacks withstood, 3 failed, 1 skipped — transparently reported
  • VLA tokenization aligns with vision-language-action model input formats
  • Public package install surface verified (pip install -e . from clone; PyPI publication pending)

What We Don't Claim

  • Full release readiness
  • Bit-exact .zpbot round-trip replay
  • B3 benchmark gate pass
  • Red-team resilience on attacks 3 and 5
  • Robotics Rust ABI
  • Universal angular fidelity — the ≤ 0.5° bound holds on smooth trajectories only; FFT-based encoding causes Gibbs ringing on step/discontinuous inputs (68° RMSE measured on unit-amplitude step signal)
  • Search-without-decode — PrimitiveIndex requires full packet decode before indexing

Commercial Readiness

LANE STATUS SNAPSHOT

Field Value
Verdict BLOCKED
Commit SHA C7DED78
Confidence 58%
Source proofs/FINAL_STATUS.md

Evaluators: Engineering blockers active — see proofs/ENGINEERING_BLOCKERS.md. pip install -e . from clone to evaluate today (PyPI publication pending). Contact hello@zer0pa.com.

Tests and Verification

Code Check Verdict
V_01 BENCHMARK_GATE_B1_COMPRESSION PASS
V_02 BENCHMARK_GATE_B2_ZSTD_BASELINE PASS
V_03 BENCHMARK_GATE_B3_BIT-EXACT_+_SE... FAIL
V_04 BENCHMARK_GATE_B4_ENCODE_LATENCY PASS
V_05 BENCHMARK_GATE_B5_DECODE_LATENCY PASS
V_06 RED-TEAM_ATTACK_1_BASELINE PASS
V_07 RED-TEAM_ATTACK_2_ENTROPY PASS
V_08 RED-TEAM_ATTACK_3_LOSSLESS_QUALI... FAIL
V_09 RED-TEAM_ATTACK_4_CORPUS_ADEQUACY INC
V_10 RED-TEAM_ATTACK_5_FALSE-POSITIVE... FAIL
V_11 RED-TEAM_ATTACK_6_PYTHON_3.12_PA... PASS
V_12 RED-TEAM_ATTACK_7_EXTERNAL_REPRO... INC

ZPE-Robotics Masthead Detail 3.2

Proof Anchors

EVIDENCE AND CLAIMS

Path State
proofs/ENGINEERING_BLOCKERS.md VERIFIED
proofs/enterprise_benchmark/GATE_VERDICTS.json VERIFIED
proofs/red_team/red_team_report.json VERIFIED
proofs/release_candidate/clean_clone_result.json VERIFIED
proofs/release_candidate/it04_parity_matrix_result.json VERIFIED
proofs/imc_audit/imc_architecture_audit.json VERIFIED
  • Runtime and proof artifacts outrank prose.
  • GO and NO-GO language is reserved for named gates only.
  • Historical proof bundles remain lineage only. They do not override the March 21 blocker-state evidence.
  • No IMC runtime import is introduced by this repo.
  • The current installable package artifact is zpe-robotics 0.1.0, but the repo's March 21 blocker-state docs remain the authority surface for engineering status.

Use these files together:

Need Read first
Current blocker truth proofs/ENGINEERING_BLOCKERS.md
Benchmark verdicts proofs/enterprise_benchmark/GATE_VERDICTS.json
Adversarial findings proofs/red_team/red_team_report.json
Package/runtime boundary proofs/runbooks/TECHNICAL_RELEASE_SURFACE.md
Release-candidate note docs/RELEASE_CANDIDATE.md
Citation record CITATION.cff
Docs registry docs/DOC_REGISTRY.md
Historical lineage proofs/artifacts/historical/README.md

Expanded LeRobot Benchmark Coverage

The expanded benchmark sweep is recorded in proofs/artifacts/lerobot_expanded_benchmarks/. The current qualified surface covers 3 real datasets across 3 materially distinct families, with compression ratios spanning 58.70x to 186.05x.

Dataset Family Compression ratio Status
lerobot/columbia_cairlab_pusht_real pusht 186.05x qualified
lerobot/aloha_mobile_shrimp aloha 61.27x qualified
lerobot/umi_cup_in_the_wild umi 58.70x qualified
lerobot/pusht_image pusht n/a skipped: insufficient joint dimension

Read proofs/artifacts/lerobot_expanded_benchmarks/aggregate_spread_summary.json for the rollup verdict and proofs/artifacts/lerobot_expanded_benchmarks/dataset_manifest.json for the full attempt ledger, including qualification misses that were preserved rather than averaged away.

Repo Shape

REPO SHAPE

Field Value
Proof Anchors 6
Modality Lanes 3
Authority Source proofs/ENGINEERING_BLOCKERS.md

The modality-lane count reflects the three recorded parity lanes (arm64-qemu, macos, ubuntu-x86) in proofs/release_candidate/it04_parity_matrix_result.json.

Area Purpose
src/zpe_robotics/ package implementation, CLI, packet handling, search, anomaly, and audit logic
tests/ release-surface, CLI, codec, and regression checks
scripts/ replay, benchmark, falsification, and clean-clone helpers
docs/ front-door, architecture, support, legal, and family-linkage docs
proofs/ blockers, benchmark artifacts, red-team outputs, release runbooks, and historical bundles
.github/workflows/ CI, clean-clone, parity, comparator, and publish workflows

ZPE-Robotics Masthead Detail 3.3

Quick Start

QUICKSTART AND AUTHORITY POINT

Surface Current truth
Repository https://github.com/Zer0pa/ZPE-Robotics.git
Package / import / CLI zpe-robotics / zpe_robotics / zpe-robotics
Acquisition surface pip install -e . from clone (PyPI publication pending)
License LicenseRef-Zer0pa-SAL-6.2
Contact architects@zer0pa.ai
Release state public repo and published package; engineering surface remains blocker-governed
Engineering not complete
Current authority proofs/ENGINEERING_BLOCKERS.md
Authority layer File
governing blocker state proofs/ENGINEERING_BLOCKERS.md
benchmark gate verdicts proofs/enterprise_benchmark/GATE_VERDICTS.json
adversarial verdicts proofs/red_team/red_team_report.json
package/runtime boundary proofs/runbooks/TECHNICAL_RELEASE_SURFACE.md
IMC integration boundary proofs/imc_audit/imc_architecture_audit.json

SETUP AND VERIFICATION

Install from clone (PyPI publication pending):

pip install -e .
zpe-robotics --version

Repo-local engineering surface:

python -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip setuptools wheel
python -m pip install -e ".[dev,benchmark,telemetry,netnew]"
python -m pytest tests -q
python -m build

If you need the shortest honest verification route, use docs/AUDITOR_PLAYBOOK.md. If you need the release workflow boundary, use RELEASING.md.

CONTRIBUTING, SECURITY, SUPPORT

Need Route
Contributor workflow CONTRIBUTING.md
Security reporting SECURITY.md
Governance and claim policy GOVERNANCE.md
Support routing docs/SUPPORT.md
Docs index docs/README.md
Operator commands docs/OPERATOR_RUNBOOK.md

Ecosystem

ZPE-Robotics follows the portfolio release-hygiene pattern used by ZPE-IMC, but it does not inherit IMC runtime claims, benchmark verdicts, or release readiness by association.

Need Route
Robotics-to-IMC boundary docs/family/ROBOTICS_RELEASE_LINKAGE.md
Frozen proof lineage note proofs/README_LINEAGE_PATHS.md
Reference core repo https://github.com/Zer0pa/ZPE-IMC

Observability: Comet dashboard (public)

Who This Is For

Ideal first buyer Robotics infrastructure team or simulation/replay platform
Pain Robot telemetry archives grow fast and can only be searched after full decompression — replay pipelines lack determinism guarantees
Deployment Public Python package — pip install zpe-motion-kernel
Family position Product candidate in the Zer0pa deterministic encoding family. ZPE-IMC is the umbrella integration layer

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