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Announcing Mujoco-Warp and Newton: How Google DeepMind and NVIDIA are Supercharging Robotics Development
, Lead , Google
Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the physical world. Google integrates AI models into humanoid robots that execute tasks in real-world environments. To ensure effective operation in diverse and complex settings—such as various kitchen layouts—a ""simulation-first"" approach is essential.
Physics plays a crucial role in robotic simulation, providing the basis for accurate virtual representations of robot behavior and interactions within realistic environments. In this session, we will introduce Newton, an open-source, extensible, GPU-accelerated physics engine built on NVIDIA Warp, designed specifically for advancing robot learning and is result of deep collaboration between NVIDIA and Google DeepMind,.
Learn how Google improved its simulation performance by integrating Newton into critical parts of its humanoid simulation pipeline.