Open-Source Frameworks

Humanoid robotics thrives on modular, open infrastructure. Rather than reinventing the stack, teams plug into shared frameworks that accelerate development, enforce standards, and ensure interoperability.

ROS 2 underpins many modern systems with real-time-safe messaging, distributed control, and extensible hardware interfaces. Tools like MoveIt enable motion planning, Isaac ROS brings GPU-accelerated perception, and Drake offers rich physical modeling — though often outside the ROS ecosystem.

Simulation platforms such as MuJoCo, PyBullet, and Habitat Lab provide essential training grounds for learning-based control, reinforcement learning, and sim-to-real transfer.These frameworks also define standards. As foundation models enter robotics, reproducibility, multi-robot scaling, and benchmarking demand shared infrastructure. Initiatives like Open X-Embodiment and RT-X depend on this ecosystem to move fast and stay aligned.