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Make Simulation Successful
Lightwheel Lab Enterprise delivers an end-to-end sim2real pipeline
and comprehensive data factory for building Physical AI models.
and comprehensive data factory for building Physical AI models.
LW-Lab Training
Framework
Framework
LW-Lab Training Framework is designed for robotics research and development teams looking to accelerate their
work with comprehensive simulation capabilities built on IsaacLab, with upcoming Newton solver integration.
work with comprehensive simulation capabilities built on IsaacLab, with upcoming Newton solver integration.
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Who It’s For
Smaller Engineering Team
Emerging robotics teams transitioning into simulation-based development who need a complete, ready-to-use framework without building infrastructure from scratch
Research labs and academic groups seeking to adopt IsaacSim for manipulation, locomotion, or teleoperation research with minimal setup overhead
Startups and small teams that want to leverage advanced simulation features (GPU parallelization, photorealism, diverse benchmarks) without dedicating resources to custom tooling
Larger Engineering Team
Established robotics teams looking to enhance their existing workflows with specialized features like sim-to-real tools, domain randomization, or multi-robot teleoperation
Organizations standardizing on IsaacSim that need a proven framework with extensive RL infrastructure, baseline algorithms, and benchmark tasks
Feature Comparison
See What's Next
LW-Lab is built on IsaacLab and will support Newton solver capabilities as they become available.
Full Newton-IsaacLab integration is currently in development by NVIDIA, with a small update expected in December 2024 and the comprehensive integration planned for March 2025.
Once these updates are released, LW-Lab will incorporate Newton's advanced physics solving capabilities.
Full Newton-IsaacLab integration is currently in development by NVIDIA, with a small update expected in December 2024 and the comprehensive integration planned for March 2025.
Once these updates are released, LW-Lab will incorporate Newton's advanced physics solving capabilities.
LW-Lab lowers the barrier to entry for sophisticated robot learning while providing the depth and flexibility that experienced teams require.
Whether you're prototyping your first reinforcement learning policy or scaling to thousands of parallel simulations, LW-Lab provides the comprehensive toolkit to get started quickly and grow with your needs.
Whether you're prototyping your first reinforcement learning policy or scaling to thousands of parallel simulations, LW-Lab provides the comprehensive toolkit to get started quickly and grow with your needs.
End-2-End
Data Collection Pipeline
Data Collection Pipeline
End-to-end data collection and generation capabilities
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What you need
Our solution
SimReady Asset Library
Production-ready assets validated for robotics simulation
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Objects
Environments
Supported Tasks
Precise geometry matching real-world dimensions
Validated mass and inertia tensors
Calibrated contact dynamics (friction coefficients, restitution, contact stiffness)
Material properties tuned for realistic interaction
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Optimized Robot Models
Access our curated library of the most commonly used robot platforms
Benchmarking &
RL Policy Evaluation API
RL Policy Evaluation API
Know exactly where you stand. Whether you're publishing research, optimizing for production deployment, or
validating a new learning algorithm, our benchmarking infrastructure gives you the credibility and insights you need.
validating a new learning algorithm, our benchmarking infrastructure gives you the credibility and insights you need.
Benchmark
Policy Eval
How Does Your Approach Compare to State-of-the-Art?
Training robots for specific behaviors is just the first step — you need to know how your RL policies stack up against established benchmarks and competing approaches. Are you meeting industry standards? Outperforming baseline methods? Our automated evaluation framework gives you the answers.
Compare Against State-of-the-Art Benchmarks
Measure your policy's performance against established standards across manipulation, locomotion, and multi-robot tasks. Validate your approach against published results from leading research labs and production systems.
Automated RL Policy Evaluation API
Stop manually running evaluations — our API automatically benchmarks your trained policies across standardized test suites. Receive comprehensive performance metrics, success rates, and video recordings for detailed analysis. Track improvements across training iterations and identify performance bottlenecks.
What You Get
Objective performance metrics against recognized benchmarks
Video recordings for qualitative analysis and debugging
Automated evaluation workflows that integrate into your training pipeline
Ready to Get Started?
The Lightwheel Enterprise Package brings together all the tools, assets, and services
you need to accelerate your robotics development from simulation to reality.
you need to accelerate your robotics development from simulation to reality.
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LW-Lab Training Framework
Data Collection
SimReady Asset Library
Optimized Robot Models
Benchmarking & Policy Eval