If you are starting or maintaining a robotics software project in September 2026, two things changed this year that should alter your choices: ROS 2's twelfth distribution, Lyrical Luth, is now the long-term-support target, and the foundation-model layer above it has moved from upper-body manipulation to whole-body control. ROS 2 is the open middleware most robots use to pass messages between sensors, planners and motors; the models that sit on top of it are now shipping as downloadable weights rather than demos. The practical summary: target Lyrical, plan a Kilted migration before December, and if you want open weights for a learned policy, the LeRobot and GR00T path is the one you can actually run today. Google's Gemini Robotics 2 is the more capable system on paper but is not open-weight, and its own coverage flags weak fine dexterity.
Table of Contents
- Which ROS 2 distribution should a new project target?
- What Gemini Robotics 2 actually adds
- The open path — LeRobot and GR00T N1.7
- Hardware announced is not hardware available
- The consumer end of the same stack
- Frequently Asked Questions
Which ROS 2 distribution should a new project target?
Lyrical Luth. The ROS 2 Release Team announced Lyrical Luth on May 22, 2026 as the twelfth distribution and an LTS release supported until May 2031. LTS means security and bug fixes continue for years rather than a single cycle, which is the difference between a robot you can keep patching and one you have to re-port.
Kilted Kaiju, the previous non-LTS release, ends support in December 2026 according to the ROS 2 documentation. From september that is roughly three months. If you are on Kilted, treat the migration as scheduled work now, not a Q1 item. A short triage for existing projects:.
- On Kilted: budget the port this quarter; after December you are running unsupported middleware.
- On an older LTS: you may have more runway, but Lyrical is the longest-lived target available.
- Starting fresh: Lyrical, no argument.
- Depending on third-party packages: check each one's Lyrical build before committing a date.
What Gemini Robotics 2 actually adds
Google DeepMind announced Gemini Robotics 2 on July 30, 2026. A vision-language-action model, or VLA, takes camera input and a natural-language instruction and outputs motor commands directly, skipping a hand-written planner. The new version extends that from upper-body control to whole-body humanoid motion — walking, crouching and manipulating, demonstrated on Apptronik's Apollo 2. The release is three models, not one, and the choice matters. Gemini Robotics 2 is the VLA itself.
Gemini Robotics ER 2 handles embodied reasoning — multi-step planning and coordinating several robots — through the Gemini Live API. Gemini Robotics On-Device 2 runs locally on robot hardware, which is what you need when a cloud round trip is not acceptable. The limit is real and worth stating plainly. Bloomberg's coverage of the launch notes the models still struggle with fine dexterity. Whole-body locomotion is a genuine expansion; delicate in-hand manipulation is not solved by it.
The open path — LeRobot and GR00T N1.7
NVIDIA announced on July 6, 2026 that Isaac GR00T N1.7 and the Isaac Teleop framework are available inside Hugging Face's open-source LeRobot library, replacing N1.5 in that workflow for training, fine-tuning and deploying humanoid VLA policies. LeRobot is the community library for robot learning datasets and policies; GR00T is NVIDIA's humanoid foundation model. The important detail is availability, not benchmarks.
GR00T N1.7 weights and code are published on Hugging Face and on GitHub, so it is directly usable rather than an access-listed preview. DeepMind's models are not open-weight. If your project requires inspecting, fine-tuning or shipping a policy without a vendor gate, that distinction decides the stack for you. Practically, the open september 2026 combination is ROS 2 Lyrical for the middleware and LeRobot plus GR00T for the learned policy layer.
Hardware announced is not hardware available
NVIDIA announced an Isaac GR00T Reference Humanoid Robot — a Unitree H2 Plus body, Sharpa five-fingered hands, Jetson Thor onboard compute and GR00T open software. According to NVIDIA's newsroom, it targets academic research and is available from Unitree in late 2026. You cannot buy it in September.
If your lab's plan for this term depends on that chassis, it needs a fallback platform. Earlier in the year the software layer filled out. At CES on January 5, 2026, NVIDIA released Isaac GR00T N1.6, Cosmos Reason 2, Isaac Lab-Arena for robot policy evaluation and the OSMO edge-to-cloud training framework, with Boston Dynamics, Caterpillar, Franka, LG Electronics and NEURA showing machines on the stack. Lab-Arena matters most for teams that currently have no repeatable way to score one policy against another.
The consumer end of the same stack
At IFA 2026 in Berlin, D-Robotics showed consumer robots running its Sunrise AI chips, with RDK developer kits spanning 5 to 560 TOPS — a TOPS figure is a rough ceiling on inference throughput, not a guarantee of usable performance. The demonstrations included TCL's hey AiMe companion robot and Vbot's SuperDog quadruped, which D-Robotics says has been in mass production since May 2026.
The 5-to-560 range is the useful signal for developers. It means the same vendor's toolchain spans a toy-class board and something that can host a sizeable on-device policy, so a prototype does not automatically require re-platforming to scale. Mass production since May is the firmer claim in that announcement; the rest is a show floor.
Frequently Asked Questions
Is Kilted Kaiju broken after December 2026?
No — it stops receiving support. Existing installs keep running, but no further fixes ship, which is a security and maintenance problem rather than an immediate outage.
Can I use Gemini Robotics 2 offline?
Only through Gemini Robotics On-Device 2, the variant built for local inference on robot hardware. The ER 2 planning model runs via the Gemini Live API.
What replaced GR00T N1.5 in LeRobot?
N1.7, as of the July 6, 2026 announcement, alongside the Isaac Teleop framework for training, fine-tuning and deployment.
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