ROS News for the Week of September 7th, 2026

Community News
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ROS News for the Week of September 7th, 2026


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ROSCon Global 2026 is a little over a week away! We just published our full list of sponsors, exhibitors, demos, and drop-in sessions to the ROSCon Global website. If you are joining us in Toronto it is time to start planning your schedule!


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Proving the safety and reliability of your robot is incredibly important; it is also an incredibly complex, expensive, time consuming, and boring task. @Iliabara, CTO of OSRA member company Polymath Robotics, is looking to change that. He just announced a new Open Source Safety Consortium that aims to bring shared safety certified tools to the open source community. They just published their first worked example, a protective-stop prototype, with firmware, hardware designs, and a draft safety case all published together as an open source software and hardware project.

This is a community effort, and Ilia is looking for members of the Open Robotics community to help push this work forward!


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My apologies for the slop, but this is an amazing project that doesn’t exactly produce eye-catching imagery. @reece-the-robot just announced a fantastic fault injection framework for ROS 2 that allows users to simulate a variety of degraded operating conditions programatically. For a long time distributed systems engineers have talked about “chaos monkeys,” or testing complex systems by randomly removing or degrading components to evaluate how the system responds, as a means to improve reliability. This new framework brings that capability to ROS by degrading or removing particular ROS topics. If you’re looking to send a robot out into the real world you definitely need this tool in your toolbox.


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@vedh1234, a summer Google of Code student for the ROS Control project, just posted his final report on physical AI inference and trajectory upscaling for ros2_control.

The problem with Physical AI models is that often produce joint targets at a frequency significantly lower than underlying hardware they are trying to control (e.g. a 20-50hz planning loop versus 500Hz to 1KHz control loop). To fix this problem Vedhas built a series of three open source tools for ROS Control that help address the discrepancies between high level Physical AI models and a robot’s low-level control loop. For example, the tool pictured above takes a series of 49 points generated by a PAI model and smooths them into a continuous 200Hz trajectory.


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:magic_wand: Any sufficiently advanced technology is indistinguishable from magic.

For example, Sean Tsai used a custom toy robot, computer vision, and ROS 2 to build a robot that performs magic tricks for an audience. Absolutely amazing work!

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Take a moment to look at the Open Source Safey website. If you are working on safety certification for your robot we would love for you to get involved!