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What's New

This page lists the highlights of each Lucky Engine release. Lucky Engine 2026.1 is the first public release.

In short

Lucky Engine 2026.1 is the first public release: a deterministic robotics simulation and data-generation tool with internal C# scripting, trained-policy support, and a gRPC API to drive the simulation from external code for reinforcement-learning training and live policy inference.

2026.1

The first public release.

Simulation

  • Deterministic simulation driven by the Time Manager: multiple fixed-rate time runners interleave on a single nanosecond-accurate timeline, and run in real time or faster than real time.
  • MuJoCo physics for robots, with Jolt and Box2D solvers also available.

Robots and control

  • Multiple ways to drive a robot: direct joint states, torques, node-based motion graphs, inverse kinematics, and trained policies, with several policies active on one robot at once. See Controlling robots.
  • A Content Vault of ready-made robots (Franka Panda, AgileX Piper, Enactic OpenArm, Unitree Go2, Unitree G1) and example projects (Welcome, Piper Pattern Stacking, Walking Pick and Place). Any MuJoCo XML (MJCF) model can be imported too.

Content and data

  • A Content Browser and asset system for scenes, meshes, materials, MJCF models, policies, and motion graphs.
  • Data and video recording through the Observer: Parquet datasets and camera video, covered in Recording.

Programming

  • A C# scripting API for scene behavior, robot control, and reinforcement-learning task definition.
  • A gRPC API for driving simulations from any language, with a Python helper and Gymnasium environments.

Platforms

  • Windows and Linux, 64-bit. Requires a GPU supporting Vulkan 1.3.

New to Lucky Engine? Start with Get Started.