NVIDIA, Google DeepMind, and Disney Research have jointly unveiled Newton, an open-source physics engine designed to enhance robotic learning and development. Built on NVIDIA’s Warp framework, Newton aims to bridge the gap between simulated environments and real-world applications, enabling robots to perform complex tasks with greater precision. The engine supports differentiable physics and is compatible with simulation platforms like MuJoCo and NVIDIA Isaac Lab .

Disney Research plans to integrate Newton into its next-generation robotic characters, including the Star Wars-inspired BDX droids. These robots are designed to provide more immersive and emotionally engaging experiences for audiences. At the GTC 2025 conference, Disney’s robot “Blue” was showcased, demonstrating lifelike movements and interactions powered by Newton.

The collaboration also introduces MuJoCo-Warp, an extension developed by Google DeepMind that accelerates robotics simulations by over 70 times. This advancement significantly reduces training time for robotic systems, making development more efficient.

An early, open-source version of Newton is expected to be released later in 2025, allowing researchers and developers to contribute to its evolution and apply it across various industries.

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