2026-05-21站内改写

Open-Source Software Is Starting to Help Robots Think

The open-source movement is bringing AI breakthroughs to robotics, lowering barriers to entry. From the ROS framework to models from Nvidia, Hugging Face, and Alibaba, robots' ability to reason, decide, and act is becoming accessible to more people. However, tensions between commercial incentives and academic ideals present new challenges.

Article intelligence

EngineersAdvanced

Key points

Open-source robotics software has evolved over decades; ROS set the infrastructure, and now open-source AI models are driving the evolution of robot 'brains'.
Companies like Nvidia, Hugging Face, and Alibaba have released open-source robotic AI tools and models, significantly lowering the entry barrier.
Hugging Face's LeRobot platform has seen robotics datasets grow from 1,145 at the end of 2024 to over 58,000, becoming its largest dataset category.
Commercial motives may tilt open source away from pure academic paths, but increased participation still accelerates progress in the field.

Why it matters

This matters because open-source robotics software has evolved over decades; ROS set the infrastructure, and now open-source AI models are driving the evolution of robot 'brains'.

Technical impact

May affect model selection, inference cost, product capability, and evaluation benchmarks.

--> Raven.config('https://[email protected]/147999').install(); Open-Source AI Makes It Easier to Build Smart Robots - IEEE Spectrum

Sign InJoin IEEE

Open-Source Software Is Starting to Help Robots Think

FOR THE TECHNOLOGY INSIDER

Enjoy more free content and benefits by creating an account

Saving articles to read later requires an IEEE Spectrum account

The Institute content is only available for members

Downloading full PDF issues is exclusive for IEEE Members

Downloading this e-book is exclusive for IEEE Members

Access to Spectrum 's Digital Edition is exclusive for IEEE Members

Following topics is a feature exclusive for IEEE Members

Adding your response to an article requires an IEEE Spectrum account

Create an account to access more content and features on IEEE Spectrum , including the ability to save articles to read later, download Spectrum Collections, and participate in conversations with readers and editors. For more exclusive content and features, consider Joining IEEE .

Join the world’s largest professional organization devoted to engineering and applied sciences and get access to all of Spectrum’s articles, archives, PDF downloads, and other benefits. Learn more about IEEE →

Join the world’s largest professional organization devoted to engineering and applied sciences and get access to this e-book plus all of IEEE Spectrum’s articles, archives, PDF downloads, and other benefits. Learn more about IEEE →

Access Thousands of Articles — Completely Free

Create an account and get exclusive content and features: Save articles, download collections, and post comments — all free! For full access and benefits,

to Spectrum.

CREATE AN ACCOUNTSIGN IN

Open-Source Software Is Starting to Help Robots Think

Jackie Snow

21 May 2026

4 min read

Source image: Hugging Face

When a group of academics started making open-source robotics hardware, a generation of roboticists got years of their lives back. Now, the bigger challenge is getting robots to think—and that’s starting to be open sourced too.

The shift is still early, but companies including Hugging Face, Nvidia, and Alibaba have all made significant bets on open-source robotics in the last two years, releasing tools and models aimed at the higher-level work of getting robots to reason, decide, and act.

The open source movement that accelerated other AI applications is now being applied to the problem of making robots smarter. If these attempts to bring AI to robotics with open-source platforms succeed, the barrier to building a capable robot could fall as fast as the barrier to building an AI application did.

The world ROS built

Open-source robotics software has been around since the mid-1990s, with early projects like Carnegie Mellon University’s Inter-Process Communication package and the Player Project in the early 2000s laying the groundwork. But these were often tied to specific research groups, and the field remained fragmented.

The Robot Operating System, ROS, changed that when it made its debut in 2007. By bundling tools and attracting more users, it became the de facto standard. The story of open-source robotics, in many ways, starts there.

Despite its name, ROS is not actually an operating system. Rather, it is a software framework that sits on top of Linux and handles robotic fundamentals like moving data between components, talking to hardware, building maps, planning paths, and supporting developer tools, such as data logging and visualization. Before ROS, every robotics team wrote that infrastructure themselves. It often took a year or two before a lab could get to the research it actually cared about.

Brian Gerkey, who helped build ROS in the mid-2000s, says he was drawn to the project because of how much open source had already changed the world, pointing out that nearly the entire internet is built on it.

“I’m a tool builder, and I like to share everything as openly as I possibly can, because I think that’s where we get the most impact out of what we build,” says Gerkey, board chair of Open Robotics and now CTO at Intrinsic, a robotics and AI unit of Google.

As it was developing, the AI community largely took the same approach, sharing research, models, and data openly, and the field accelerated faster than almost anyone predicted. Now some of those same advancements are arriving in robotics.

Open-source AI for robotics

Computer vision, once a hard problem, has advanced dramatically in just a few years, says Spencer Huang, Nvidia’s director of product for robotics. What once required significant expertise can now be done in a few lines of code. Simulation tools have become accurate enough to be useful for training, and access to the tooling that once required a specialized lab is now widely available, much of it open source.

“To get into robotics, you no longer need a Ph.D.,” he says. The result is a much larger pool of people who can contribute, and the field is starting to look less like a specialized discipline and more like a platform that anyone can build on.

Nvidia has built out an open-source robotics stack that covers the full development pipeline. Its Cosmos world models generate synthetic training data and simulate physical environments. Its GR00T models give robots the ability to reason through and execute complex tasks. And its Isaac frameworks handle the orchestration that ties training, simulation, and deployment together. Not everyone needs to train the robots from scratch, Huang says, and most people probably shouldn’t.

“If you gate pre-training, the field just never grows,” he says. “We should be able to provide a high-quality, state-of-the-art pre-trained model that anyone can go and take and fine tune for their own purposes.”

All of Nvidia’s open-source models live on Hugging Face, the open-source AI platform that has become the default place to share models and datasets. Hugging Face launched LeRobot, a community platform for robotics AI, in May 2024. Since its launch, the number of robotics datasets on the platform grew from 1,145 at the end of 2024 to more than 58,000 today, making it the single largest dataset category on the hub.

Hugging Face has also moved into hardware, acquiring robotics company Pollen Robotics. The acquisition came from a realization that software alone was not enough, according to Clement Delangue, Hugging Face’s CEO. The goal, as with the software, was to bring more people in.

The contributors to LeRobot include the biggest names in the industry, academic labs, and hobbyists building robots in their spare time. For instance, earlier this year, Alibaba released RynnBrain, an open-source foundation model for physical AI that the company claims outperforms comparable offerings from Google and Nvidia on benchmarks. That diversity of projects, Delangue says, is important.

“It is not just one model or one dataset or one hardware,” he says. “It is a lot of small contributions that everyone can be part of.”

Commercial incentives muddle the field

The stakes, Delangue says, go beyond convenience. A world where only a few proprietary systems control the robots in people’s homes is a concerning one. “Having robots at home that you don’t really understand, that you don’t really control, that a few people in Silicon Valley control is a scary thought,” he says. “Open source gives an alternative path.”

But getting there is not straightforward. The open sourcing happening now looks different from what produced ROS, which emerged largely from academics pooling their work with no commercial stake in the outcome. The biggest contributors today are companies with clear business reasons to want more people building on their platforms. That’s not necessarily a bad thing, says Bill Smart, a professor at Oregon State University, in Corvallis, who was part of the early open-source robotics community. But the incentives are worth being aware of.

He also worries that the lowered barrier to entry has a downside. Researchers coming from AI without a robotics background are sometimes solving problems the field already solved. A newcomer might spend a week training a neural network to move a robot’s hand from one point to another, unaware that the same task can be accomplished with a few lines of code using decades-old techniques. The incentives are not always pointing in the same direction as the progress.

Smart is not without hope though. Whatever the motives behind the open sourcing, he says, the effect is real. More people are in the field than ever before, the tools are genuinely easier to use, and the community is bigger and more diverse than anything that existed when ROS was getting started.

“Anyone can make a robot move now,” he says. “As an old tech guy, that makes me happy and sad, because I’m no longer special.”

From Your Site Articles

Open Source Robotics Foundation Officially Announced ›

Happy 10th Birthday to the Open Source Robotics Foundation ›

How Open-Source Robotics Hardware Is Accelerating Research and Innovation ›