THE HUMANOID TECHPhysical intelligence engineering
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Features / Engineering platform

Define. Simulate.
Understand.

A coherent physical engineering workflow. Product capabilities below distinguish architecture and implemented source from planned desktop validation.

01 / System construction

Model the system,
not just the picture.

01 / SCHEMA

Physical System Workspace

Organize a System into components, robot assemblies, typed properties and system-level specifications.

02 / MODEL

3D digital twins

Represent physical geometry, coordinate frames, structures and the relationships between model parts. Native editor maturity is not yet verified.

03 / INTERFACE

Actuation and sensing

Define sensors, joint actuation, power, latency and other measurable hardware-related parameters.

04 / LIMITS

Physical constraints

Describe payload, motion limits, thermal envelopes and safety-related preconditions explicitly.

05 / SCENE

Environment setup

Assemble a scenario's world conditions, objects, physical assumptions and initial state.

06 / HISTORY

System versions

Track intended world revisions, run manifests, observations and exportable evidence.

02 / Experiment lifecycle

Clear inputs.
Inspectable outputs.

Source-level simulation models and evidence concepts exist in the repository's historical simulation stack. That is not equivalent to a verified, publicly installed desktop application or a validated external dynamics engine.

Product-status boundary: The site presents an engineering direction. Native desktop solver execution, reliable model-format import and end-to-end packaged workflows remain to be proven.
  1. Specify. Capture robot, component, parameter and scenario contracts.
  2. Pre-check. Evaluate deterministic readiness and parameter constraints, without representing this as physical validation.
  3. Run. Use only a solver adapter that has actually passed integration tests.
  4. Trace. Preserve events, state, run metadata and numerical outputs for review.
  5. Revise. Change a model, rerun and compare reproducible results.
03 / Research horizon

Future research and
integration targets.

01 / TARGETS

MuJoCo, Gazebo, Isaac Sim

Candidate integration directions; no claim that all bridges, model conversions or required GPU features currently work.

02 / DYNAMICS

Kinematics and contact

Humanoid motion and contact experiments need selected, tested solvers and traceable parameterization.

03 / RESEARCH

Sim-to-real studies

Later hardware-facing evaluation and verification. Simulation evidence is not real-world safety certification.