Booster Gym
Open source
Booster Gym is a reinforcement learning (RL) framework developed by Booster Robotics for humanoid locomotion of T1 and K1 robots. Built on NVIDIA Isaac Lab, it provides RL task sets, sim-to-real transfer policies, and tooling for training and deploying policies. Open-source, Apache 2.0, available on GitHub.
Organizations
System capabilities
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Open source
Source code is publicly available under an open-source license — enables security audits, custom modifications, and integration without licensing barriers.
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Real-time capable
Designed with timing-determinism guarantees — meets the requirements of control loops, safety systems, and tasks demanding low, predictable latency.
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API available
The software exposes a programmable interface (REST, gRPC, SDK, or language bindings) that enables automation and integration with other systems.
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Pre-built / binary
Distributed as ready-to-use binary packages, container images, or installers — no need to build from source.
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