Bullet3

Bullet3 is a professional physics simulation engine designed for calculating rigid body, soft body, and collision dynamics within 3D environments and robotics applications. It functions as a computational framework for determining complex geometric intersections and contact manifolds between objects in simulated space.

The library distinguishes itself through a distributed rendering framework that scales heavy graphical workloads and scene generation tasks across large clusters of machines. This capability enables the production of massive datasets by distributing complex scene generation across thousands of connected systems to minimize total completion time.

Beyond its core simulation capabilities, the project serves as a synthetic data generator for computer vision research. It automates the creation of photo-realistic video scenes and exports detailed metadata, including instance segmentation masks, depth maps, and optical flow data, to provide ground truth for training and validating machine learning models.

Features

Physics Engines - Simulates rigid body, soft body, and collision dynamics in real-time 3D environments and robotics applications.

Computer Vision - Creates photo-realistic rendered scenes with automated instance segmentation, depth maps, and optical flow for machine learning.

3D Collision Detection Frameworks - Provides a computational framework for calculating complex geometric intersections and contact manifolds between objects.

Synthetic Data Generators - Creates large-scale, photo-realistic video datasets with automated annotations to train and validate machine learning models.

Synthetic Video Generators - Produces photo-realistic video scenes with automated annotations to support advanced machine learning research.

Distributed Rendering Frameworks - Scales heavy graphical workloads and scene generation tasks across large clusters of machines.

Computer Vision Data Preparation - Exports detailed metadata like depth maps and segmentation masks from 3D scenes to provide ground truth for AI training.

Scene Annotation Exporters - Extracts detailed metadata for video frames including instance segmentation masks and depth maps.

Collision Detection - Determines contact points and penetration depth between convex shapes by calculating the distance between Minkowski differences.

Rigid Body Solvers - Calculates physical interactions by solving systems of linear complementarity problems to maintain non-penetration and friction constraints.

Distributed Rendering Systems - Scales complex 3D rendering workloads across thousands of connected machines to minimize completion time.

Physics and Simulation - Popular 3D physics library.

Physics Simulation - 3D physics engine for games.

Simulation Engines - Simulator for robotics and deep reinforcement learning.

3D Game Engines - Real-time physics simulation engine.

Physics Engines - 3D game physics engine.

Physics Simulation - Real-time physics simulation for games and robotics.

Physics Engines - 3D physics engine for games and simulations.

Distributed - Distributes complex scene generation tasks across thousands of connected machines to minimize total completion time.

Sequential Impulse Solvers - Resolves collisions and constraints by iteratively applying velocity impulses to bodies until the system reaches equilibrium.

Fixed-Step Integrators - Updates the simulation state using a constant time step to ensure consistent physical behavior across different hardware.

Distributed Dataset Generators - Distributes heavy rendering workloads across thousands of machines to produce massive datasets.

Simulation Island Partitioners - Groups independent clusters of interacting objects into isolated islands to allow parallel processing of physics updates.

Bounding Volume Hierarchies - Organizes objects into a hierarchical bounding volume structure to quickly discard pairs that are too far apart to collide.

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Features

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