A roboticist’s journey with JAX: Finding efficiency in optimal control and simulation

a-roboticist’s-journey-with-jax:-finding-efficiency-in-optimal-control-and-simulation

Max’s journey introduces LQRax, a JAX-native LQR solver, which exemplifies the growing JAX robotics ecosystem that includes tools like Brax, MJX, and JaxSim, highlighting the benefits of JAX for computational efficiency in optimal control and simulation, and for seamlessly integrating model-based and learning-based approaches.

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