New Packages for Jazzy Jalisco 2026-04-13
The latest sync for the ROS 2 distribution delivers 690 total new components, including major LiDAR and navigation tools.
The Open Source Robotics Foundation (OSRF) and the ROS 2 development community have pushed a substantial update to the Jazzy Jalisco Long-Term Support (LTS) distribution. Tagged as `jazzy/2026-04-13`, this sync introduces a massive influx of 150 entirely new packages alongside 540 updates to existing ones, marking one of the largest single updates to the robotics middleware platform. The release focuses on enhancing core capabilities for perception, planning, and control, which are critical for autonomous systems in industrial, research, and commercial applications.
Among the standout new packages is the `agnocast` framework (v2.3.3), a suite for component-based system configuration. The `depthai-v3` suite (v3.2.2) provides updated drivers and tools for Luxonis's OAK series of spatial AI cameras. A major addition is the `nebula` ROS 2 driver stack (v1.0.0), which offers unified support for high-performance LiDARs from manufacturers like Hesai and Robosense, simplifying sensor integration. Other notable packages include the `move-base-flex` (v1.0.5) navigation framework, `mujoco-ros2-control` (v0.0.2) for physics simulation, and the `easynav` suite for costmap and MPC-based navigation.
This update underscores the rapid maturation of ROS 2 as the de facto standard for robotics software development. By aggregating contributions from hundreds of developers and organizations, the release delivers production-ready tools for complex tasks like 3D perception with LiDARs, advanced motion planning with Move Base Flex, and realistic simulation with MuJoCo. For teams building robots, this sync reduces integration overhead and provides a more robust, feature-complete foundation for deploying autonomous systems.
- Adds 150 new packages and 540 updates in a single sync, tagged `jazzy/2026-04-13`.
- Introduces the `nebula` ROS 2 driver stack (v1.0.0) for Hesai and Robosense LiDAR sensors.
- Includes major updates for navigation (`move-base-flex`), perception (`depthai-v3`), and simulation (`mujoco-ros2-control`).
Why It Matters
This massive update provides robotics engineers with critical, production-grade tools for perception and navigation, accelerating development of commercial autonomous systems.