Realistic Physics & Environments
Train robots in high-fidelity Lucky Engine environments that replicate real-world physics – from precise collisions and friction to sensor feedback and realistic material behaviours.
Train up to 90% faster and cheaper with hyper-realistic simulations at scale. Generate millions of randomized labeled episodes overnight. No hardware, no waiting, no limits.
A Unitree G1 robot in a modern open-plan living space. Scan the room to pick and place clutter into the bin. Item locations should be randomly generated.
From cluttered kitchens to rugged terrain, your AI trains in rich, interactive scenes where even the smallest detail shapes behavior. All of it happens virtually without the cost, safety risk, or delays of real-world testing.
Our new drone model exploring our forest environment
A Unitree G1 exploring one of our available environments
A Hello Robot Stretch 3 ready to use in LuckyRobots
Unitree G1 standing in simulation
stove on.
Train robots in high-fidelity Lucky Engine environments that replicate real-world physics – from precise collisions and friction to sensor feedback and realistic material behaviours.
Generate millions of randomized, labeled training episodes. No physical hardware, no manual labeling, no bottlenecks – just scalable data built to train serious AI.
No warehouses, robots, or massive teams required here. Simulate edge cases, iterate faster, and cut development costs and time by up to 90% without compromising quality.
Push and pull AI models, share environments, and manage training workflows with a platform built for open robotics development. LuckyHub makes it easy to scale your work and stay in sync.
Backed by belief in a better system, we bring together top talent, backers, and integrations to accelerate the future of robotics. Join us!
These brilliant folks help us find answers when we get stuck.
Whether you’re building cutting-edge AI, refining autonomous systems, or accelerating robotics research, Lucky gives you the synthetic data and simulation tools to bridge the gap between the lab and the real world.
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