A physics engine is computer software that provides an approximate simulation of certain physical systems, such as rigid body dynamics (including collision detection), soft body dynamics, and fluid dynamics, of use in the domains of computer graphics, video games and film .

2016年4月24日 · A physics engine is responsible for solving the equation of motion and for detecting collisions. You can think of a physics engine as a continuous loop. It starts off by simulating an external force such as gravity.

Genesis is a highly-optimized physics engine that leverages GPU-accelerated parallel computation, with features like optimized collision checking, auto-hibernation, contact island, etc. Genesis delivers an unprecedented simulation speed in various scenes.

Chrono is a physics-based modelling and simulation infrastructure based on a platform-independent open-source design implemented in C++.

With its intuitive interface and advanced physics engine, Physion provides an engaging platform for students to explore physical phenomena and experiment with different scenarios in a virtual environment.

2024年12月20日 · Genesis is an AI physics engine capable of producing highly realistic simulations. It’s impressively fast and can generate interactive 4D worlds. Key use cases include robotics and physics experiments.

MuJoCo is a free and open source physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, and other areas where fast and accurate simulation is needed.

Brax is a fast and fully differentiable physics engine used for research and development of robotics, human perception, materials science, reinforcement learning, and other simulation-heavy applications. Brax is written in JAX and is designed for use on acceleration hardware.

PyChrono is the Python version of the Chrono simulation library. It is cross-platform, open source, and released under a BSD-3 license. Use PyChrono together with many other Python libraries. For example, do plots using MayaVi, do postprocessing with NumPy, train AI neural networks with TensorFlow, etc.

This is a progression starting from very basic Pygame ideas, through 1D and 2D (pure Python) physics engines, ending with an application of the Box2D physics engine. There is a physics instructor behind this.