Training assets for
robotic arms
Manipulation policies need objects with accurate mass, friction, and collision geometry. Rigyd generates physics-enabled assets optimized for grasping, stacking, and assembly training.
The problem
Why existing workflows fall short.
Grasping needs accurate contact physics
Robotic arm manipulation is highly sensitive to object mass, center of mass, friction coefficients, and collision mesh detail. Wrong values mean failed grasps.
Object diversity improves generalization
Training on a small set of objects produces brittle policies. Thousands of varied objects with realistic physics are needed for real-world robustness.
Center of mass matters
Asymmetric objects like tools, bottles, and electronics have off-center mass distributions. Ignoring this produces unrealistic simulation behavior.
How Rigyd helps
AI-native infrastructure that automates the hard parts.
Precise center of mass estimation
Rigyd analyzes object geometry and identified materials to estimate center of mass position — critical for manipulation planning.
Detailed collision meshes
Convex decomposition captures object geometry at the detail level needed for contact-rich manipulation, not just bounding box approximations.
Domain randomization ready
Physics estimates are calibrated within typical domain randomization variance ranges (mass within 15-20%), enabling robust policy training.
better real-world performance with physics-accurate training
faster than manual physics annotation
per object from upload to sim-ready
Train better manipulation policies
Upload objects your robot needs to handle and get sim-ready assets in minutes.
Starts at $29/month. 30 sim-ready 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