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Developer tools · #gazebo
Learn how to implement and tune PID controllers in Gazebo to eliminate joint jitter and achieve stable robot motion using SDF plugins and ROS 2.
Most Gazebo integrations only need a standalone gz-transport subscriber, not a custom plugin. This note covers the minimal design, trust boundaries, verification commands, and the failure modes that justify a bigger architecture.
A slow Gazebo world usually means physics is eating your CPU. Here's how to treat the physics engine as a real engineering decision — and benchmark it properly.
Select ODE, Bullet, or Simbody in Gazebo Classic via the <physics type='...'> element, then verify engine choice and tune step size and solver iterations for stable simulation.
A technical guide to implementing accurate LiDAR, IMU, and camera sensors in Gazebo using SDF plugins, focusing on noise modeling, physics synchronization, and performance optimization.
Learn how to create a Gazebo model plugin that applies a constant force, with build instructions, loading steps, and a discussion of version‑locking and stability trade‑offs.
A concise architecture note on using gazebo_ros2_control to bridge ROS 2 controllers with Gazebo simulation, covering requirements, minimal design, boundaries, checks, failures, and redesign triggers.
Stop your Gazebo robots from jittering or flying away. Learn how to optimize ODE physics by balancing mass ratios, using collision primitives, and tuning step sizes.
Learn how Gazebo’s publish‑subscribe transport works, where its trust boundaries lie, and what operational checks and failure modes to watch for when building or extending simulations.
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