NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
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A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- ai
- computer-vision
- robotics
- simulator
Isaac Gym Environments for Legged Robots
RL training environments for Microduck (mjlab)
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- pybullet
- crazyflie
- robotics
- reinforcement-learning
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
- gym
- pybullet
- reinforcement-learning
- control
Unmanned Surface Vehicle simulation on Gazebo with water current and winds
- usv
- boat
- gazebo
- water-surface
A Unified Robot-Use Agent Harness Across Environments
Open source self-driving software for low speed environments
RobotAgentBench: A benchmark for evaluating open-world robot autonomy in realistic household environments.