How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
AVIS Engine Python API
The main features of avisengine/avis-engine-python-api are: Simulation Engines.
Projects with overlapping indexed features include: allenai/ai2thor. bulletphysics/bullet3 — Bullet3 is a professional physics simulation engine designed for calculating rigid body, soft body, and collision… carla-simulator/carla — CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving… coppeliarobotics/coppeliasimlib — CoppeliaSim core library. cyberbotics/webots — Webots is a physics-based robot simulator and development environment used for modeling, programming, and testing the… 4rtur1t0/arte — ARTE (A Robotics Toolbox for Education).
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 acr
CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving software. It functions as an urban traffic simulator that generates realistic vehicle and pedestrian behavior and as a synthetic sensor data generator producing LiDAR, Radar, and camera data. The platform distinguishes itself through its deep integration with robotics frameworks, specifically providing native connectivity to ROS2 nodes for robotic control and data processing. It supports the training of driving models via imitation and reinforcement learning within a controlle
