Newton 1.0 GA: Production-Ready Physics for Robotics
NVIDIA has released Newton 1.0 GA, a GPU-accelerated, open-source physics engine designed for industrial robotics simulations. Built on NVIDIA Warp and OpenUSD, Newton provides a unified, extensible framework that combines multiple solvers and simulation components—enabling realistic modeling of contact forces, deformable objects, and complex robot dynamics.
Key Features and Capabilities
Unified Architecture with Multiple Solvers Newton operates as a modular framework supporting several rigid-body and deformable solvers:
- MuJoCo Warp (MJX): Extends Google DeepMind's trusted MuJoCo with GPU-scale throughput. Achieves 252x speedup for locomotion and 475x for manipulation tasks on NVIDIA RTX PRO 6000 Blackwell Series.
- Kamino (Disney Research): Handles complex mechanisms with closed-loop linkages and passive actuation, enabling mechanical designers greater freedom without worrying about simulatability.
- VBD Solver: Manages linear deformables (cables), thin deformables (cloth), and volumetric deformables (rubber parts).
- Implicit Material Point Method (iMPM): Handles particle simulation for granular materials and rough terrain scenarios.
Advanced Contact Simulation Newton introduces contact modeling techniques critical for real-world tasks:
- Signed Distance Field (SDF)-based collision: Captures complex geometries directly from CAD-exported meshes, eliminating approximation methods and enabling tight-tolerance tasks like connector insertion.
- Hydroelastic contacts: Uses continuous pressure distribution across finite-area contact patches rather than discrete contact points, providing higher-fidelity interaction and better sim-to-real transfer for tactile sensing and manipulation policies.
Integration and Workflow
Newton maintains support for common robotics formats (MJCF, URDF, OpenUSD), making it compatible with existing robot assets and workflows. It integrates natively with NVIDIA Isaac Sim 6.0 and Isaac Lab 3.0, enabling streamlined pipelines from robot description through policy training to evaluation across reinforcement and imitation learning workflows.
Developer Impact
- Stable API: Unified interface across modeling, solving, controlling, and sensing operations
- Flexible collision pipeline: Reusable and customizable broadphase/narrowphase detection for accelerating custom solver development
- GPU-accelerated sensor suite: Warp-based tiled camera sensor supports high-throughput rendering with RGB, depth, albedo, surface normals, and instance segmentation
- Open-source foundation for extensibility and community contribution