Lock Gazebo's Physics Clock for Repeatable Robot Tests
Control how Gazebo advances simulation time so robot control-loop tests produce repeatable results across different machines.
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Control how Gazebo advances simulation time so robot control-loop tests produce repeatable results across different machines.
ROS 2 composable nodes enable zero-copy intra-process communication, cutting CPU usage by 30–70% in high-rate sensor pipelines. Walk through a LiDAR-to-perception example, verify zero-copy activation, and understand deployment trade-offs.
Learn how ROS 2 composable nodes cut inter‑process communication overhead, lower latency for high‑frequency data streams, and enable runtime reconfiguration. Follow a concrete example, trade‑offs, and a practical verification checklist.
Learn how a Gazebo System plugin can coordinate multiple robots more efficiently than per‑model plugins, with a complete build‑and‑run example and performance tips.
ROS 2 QoS policies prevent silent message loss; aligning reliability and depth stops camera‑perception communication failures.
Stop wondering why your ROS 2 subscribers are silent. Learn how to match Reliability and Durability QoS profiles to prevent silent data loss and avoid the pitfalls of head-of-line blocking.
Use ROS 2 lifecycle nodes to control node states, improve reliability, and automate startup/shutdown. This guide shows a C++ example, launch integration, and common pitfalls to avoid.
Gazebo’s native camera sensor can publish RGB images directly to ROS2, eliminating custom plugins. This guide walks through wiring a UR5 robot’s camera to a ROS2 node, highlights trade‑offs, and offers a quick checklist to keep your simulation real‑time.
Learn when to use a ROS 2 Service versus an Action, see a concrete example, and understand the trade‑offs in complexity and blocking behavior.