Robotics

Eclipse Zenoh 1.9.0 "Longwang" released — Regions, QUIC multistream, Go binding (RMW Zenoh impact inside)

The update enables massive multi-site robot fleets and cuts network overhead with QUIC multistream.

Deep Dive

The Eclipse Foundation has launched Zenoh 1.9.0, codenamed 'Longwang', marking a significant leap for the data-centric protocol widely used in robotics and IoT. The headline feature is 'Regions', which replaces the old fixed network hierarchy with configurable, arbitrarily deep topology trees (like mesh or star). For the Robot Operating System 2 (ROS 2) community using the RMW Zenoh middleware, this is a game-changer: it allows scaling to massive, multi-site deployments—think warehouse or delivery robot fleets—by dramatically slashing the compute and network overhead previously required for such distributed systems.

Beyond scaling, version 1.9.0 delivers critical networking optimizations. It introduces QUIC multistream, dedicating one stream per Zenoh priority level to eliminate head-of-line blocking in mixed-priority traffic—crucial for ensuring real-time control messages aren't delayed. It also adds a reliable UDP mode for trusted environments where TLS overhead is prohibitive. The release is rounded out by a fully-featured, official Zenoh-Go binding (sponsored by SoftBank) for building fleet-side tools, and an async executor for Zenoh-Pico, bringing advanced pub/sub capabilities to microcontrollers. Accompanying tools like an updated Wireshark plugin for protocol analysis further solidify Zenoh's position as a robust, modern middleware alternative to traditional DDS for demanding distributed systems.

Key Points
  • Regions feature enables scalable, multi-site robot fleet topologies, cutting network/compute overhead.
  • QUIC multistream eliminates head-of-line blocking with one stream per priority level for real-time traffic.
  • Adds official Zenoh-Go binding and Zenoh-Pico async executor for cloud tools and microcontroller deployments.

Why It Matters

Enables large-scale, efficient robotics deployments critical for logistics, manufacturing, and autonomous vehicle fleets.