Gazebo is an open source 3D robot simulator. It accurately simulates sensors and environments for developing, testing, and training robots in complex scenarios before deployment in the real world.
Gazebo is an open source robot simulator that provides accurate simulation of sensors, robots, and environments. It is widely used in robotics research and development to prototype, benchmark systems, and train robots using realistic scenarios before they are deployed in the real world.
Key features of Gazebo include high-fidelity physics simulation using ODE, Bullet, Simbody, and DART; support for a wide range of sensors including cameras, Lidar, IMU, GPS, etc.; integration with the Robot Operating System (ROS); large collection of robot models and environments; convenient editing tools to create custom worlds; headless operation and deployment on clusters; and active development community.
Gazebo helps accelerate robot development by enabling testing of algorithms and designs in a virtual setting that behaves realistically. This reduces risk, saves time and money compared to physical prototypes. Researchers can benchmark approaches using standardized tests in Gazebo. The open source toolchain integrates smoothly in many robotics pipelines.
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