Skip to main content

Simulation-to-reality bridge for AI agents with environment adapters

Project description

agent-sim-bridge

Simulation-to-reality bridge for AI agents with environment adapters

CI PyPI version Python versions License

Part of the AumOS open-source agent infrastructure portfolio.


Features

  • TransferBridge applies a CalibrationProfile (per-dimension linear scale + offset + noise model) to translate observations and actions between simulator coordinates and real-world distributions
  • Calibrator fits calibration profiles by regression on paired sim/real observation datasets, with support for iterative recalibration as new data arrives
  • DomainRandomization perturbs simulation parameters (friction, mass, sensor noise, lighting) across configurable ranges to produce policies that transfer without fine-tuning
  • Simulation scenario recorder and replay engine lets you capture real-world trajectories, replay them in simulation, and measure the fidelity gap
  • SafetyMonitor enforces physical and policy constraints during both simulated and real execution, with configurable boundary definitions and emergency stop hooks
  • Sensor fusion module combines readings from multiple simulated or real sensors with configurable noise injection and covariance-weighted fusion
  • Backend adapters for Gazebo and PyBullet expose a uniform SimulationEnvironment interface so agents can be tested against either simulator without code changes

Quick Start

Install from PyPI:

pip install agent-sim-bridge

Verify the installation:

agent-sim-bridge version

Basic usage:

import agent_sim_bridge

# See examples/01_quickstart.py for a working example

Documentation

Enterprise Upgrade

For production deployments requiring SLA-backed support and advanced integrations, contact the maintainers or see the commercial extensions documentation.

Contributing

Contributions are welcome. Please read CONTRIBUTING.md before opening a pull request.

License

Apache 2.0 — see LICENSE for full terms.


Part of AumOS — open-source agent infrastructure.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

agent_sim_bridge-0.1.0.tar.gz (99.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

agent_sim_bridge-0.1.0-py3-none-any.whl (85.0 kB view details)

Uploaded Python 3

File details

Details for the file agent_sim_bridge-0.1.0.tar.gz.

File metadata

  • Download URL: agent_sim_bridge-0.1.0.tar.gz
  • Upload date:
  • Size: 99.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for agent_sim_bridge-0.1.0.tar.gz
Algorithm Hash digest
SHA256 33f50f2f0e4198881350d35f6989226bc7221de4abd5f88524a036f5809315d7
MD5 0f3660ac3a8495777dd5170c7cbdaaeb
BLAKE2b-256 61b1d561411c5380d55e268dfbedfbb119ea8ba1eee016e39c6049d59a755170

See more details on using hashes here.

File details

Details for the file agent_sim_bridge-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for agent_sim_bridge-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 28b9171d63d565d987d60cf8f37fe079c0e782545a03eb6221b01c526f6a169f
MD5 7369085ec04246fd90f345a73fbe9bf1
BLAKE2b-256 c49e6af8b2d4257566c4bd1cb3f92b8bfca48d467fb611621228f86e27257c33

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page