dasomel/ OPEN ENGINEERING LAB

WORK / ACTIVE SYSTEM

Siqoq

A Physical AI infrastructure experiment that preserves semantic event and action contracts from simulation to edge hardware

Physical AI · Edge AI · Simulation · ONNX Runtime · Robotics · OpenTelemetry

01 / Problem02 / Architecture03 / Development04 / Proof05 / Knowledge06 / Record

01 / PROBLEM

Perception-to-action workflows become difficult to reuse and verify when simulators, laptops, sensors, and actuators expose unrelated APIs and runtime assumptions

RESPONSE

Separate sensor, inference, transport, policy, and action implementations behind adapters while keeping semantic event and action contracts stable

02 / ARCHITECTURE

Read the boundaries before the features.

Identity, delivery, network, storage and workload integration are shown as operational seams rather than a feature inventory.

03 / DEVELOPMENT OVER TIME

Evolution is part of the evidence.

First commit, cumulative commits, releases and recent activity show whether the system is still being engineered.

DEVELOPMENT OBSERVATORY

dasomel/siqoq

Observe a system evolving over time, not a repository frozen at one release.

Contributors: 2

First commit

Aug 25, 2026

Commits

66

Releases

0

Latest release

—

Last push

Sep 19, 2026

Active for

1 months

Recent development activity

66 commits / 20 weeks

PAST → NOW

Language: PythonLicense: NOASSERTIONStars: 0Forks: 0Open issues: 3

04 / PROOF, NOT BADGES

6

technology / domain signals

Declared scope and technical context

3

connected docs

Operational or implementation documentation

0

engineering notes

Knowledge produced by the project

0

digest links

External signals explicitly connected

05 / CONNECTED KNOWLEDGE

What this system produced beyond code

DOCS

Goals and current implementation boundary of simulation-to-edge Physical AI infrastructure.

Siqoq Architecture

Simulation-to-reality architecture centered on semantic event and action contracts.

Siqoq Development and Verification

Current executable Python foundation and principles for future adapters.

06 / ENGINEERING RECORD

Implementation details, operating notes and project-specific context.

Project introduction

Siqoq validates the infrastructure contracts that must survive the move from simulation to real edge systems before attempting to build a complete Physical AI product.

Raw frames and device SDKs do not become the platform API. Downstream systems consume semantic events such as object.detected, while actions pass through explicit policy and safety checks before an adapter reaches hardware.

Current implementation boundary

Siqoq is currently an early bootstrap / architecture validation project.

Python package and CLI foundation
semantic event model
unit-test and CI foundation
simulation-first architecture, principles, and roadmap

Isaac Sim/Gazebo integration, real sensor adapters, TensorRT/Jetson acceleration, NATS/MQTT, a ROS 2 bridge, actuator control, and fleet GitOps remain planned work.

Reading path

Goal	Document
Product boundary and current status	Overview
Stable contracts and adapter structure	Architecture
Executable development and verification scope	Development