RL training
environments
Reinforcement learning for robotics needs massive environment diversity and realistic physics — especially for sim-to-real transfer. Rigyd converts any 3D catalog into SimReady assets calibrated for RL pipelines.
The problem
Why existing workflows fall short.
RL demands millions of training steps
Reinforcement learning runs for millions of episodes. Every step whose physics deviates from reality compounds into a larger sim-to-real gap by the time the policy finishes training.
Environment diversity drives generalization
Policies trained on a narrow asset set overfit to specific geometries and fail on new objects. Diversity, not algorithmic tricks, is what produces robust policies in the real world.
Asset creation bottlenecks research
Research teams spend more time preparing assets than training policies. Every hour on collision-mesh generation or physics tuning is an hour not spent on algorithms or evaluation.
How Rigyd helps
AI-native infrastructure that automates the hard parts.
SimReady for Isaac Lab, Brax, MuJoCo
Rigyd outputs work with the major RL simulation stacks — Isaac Lab, Brax (MJX), MuJoCo, Gazebo. Physics properties survive format conversion, so training pipelines stay consistent.
Domain-randomization-ready physics
Mass within 15–20% and friction within 0.1 — inside typical DR variance ranges, so RL policies can center randomization on realistic baselines instead of arbitrary guesses.
Scale object libraries for free
Convert thousands of unique objects with one bulk operation. Diverse training sets are no longer gated by asset-creation budgets or graduate-student weekends.
better real-world transfer with physics-accurate RL training
unique objects practical for RL datasets
faster than manual physics annotation
Train RL policies on realistic environments
Upload your object library and get SimReady assets calibrated for RL pipelines.
Starts at $29/month. 30 SimReady objects included.
Explore more
SimReady for Isaac Sim
OpenUSD assets validated for NVIDIA Isaac Sim
Models for MuJoCo
Physics-accurate assets for robot learning
Assets for Gazebo
Simulation-ready models for ROS 2
Warehouse Simulation
50,000+ SKUs need physics properties
Humanoid Robots
Whole-body interaction training assets
Sim-to-Real Transfer
Close the gap with accurate physics data