Xingyu Lin

Robot learning @openai. Previously @berkeley_ai @SCSatCMU. #Learning #Robotics

[Xingyu Lin @Xingyu2017]

What state representation should robots have? 🤖 I’m thrilled to present an Any-point Trajectory Model (ATM), which models physical motions from videos without additional assumptions and shows significant positive transfer from cross-embodiment human and robot videos! 🧵👇

[Philipp Wu @philippswu]

Announcing @xdofai: We’ve raised $70 million to build the core robotic infrastructure ecosystem for robot foundation models.

My cofounders Fred (@YideShentu), Nemo (@itsnemojin) and I have been pursuing the dream of general purpose robots for our entire lives. After work at Covariant, Meta and Tesla, it became clear to us that general purpose robots are coming, and we are building XDOF to help make them a reality.

For the last two years, we’ve been working behind the scenes to support major labs and companies deploying robots. In us, they have a partner with full-stack expertise, from hardware to operations to policy training.

As our first public contribution to the space, we are open-sourcing ABC-130K, the largest open source teleoperation dataset, in collaboration with our partners from UC Berkeley, Carnegie Mellon, MIT and Amazon FAR.

Thank you to our customers, partners, collaborators and investors for your trust and conviction in us. Together, we can accelerate the future of robotics!

[Xingyu Lin @Xingyu2017]

@jack_polloway @model_mechanic nice work. we don't have any internship opening though

[Xingyu Lin @Xingyu2017]

The team has attracted so many talents over the past year and is truly uniquely positioned to push the robotics frontier. Don’t miss the opportunity!

[Sam Altman @sama]

OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society.

AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need.

Our world simulation research program, led by Aditya Ramesh (@model_mechanic), has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research.

If you love working hands-on across the robotics stack and want to build the future, please consider joining us. Send an email with your background and evidence of exceptional accomplishment to: [email protected]

[Xingyu Lin @Xingyu2017]

Impressive demos, congrats to the genesis team! I do not approve of the tomato and egg stir-fry recipe though :)

[Zhou Xian @zhou_xian_]

The past year has been the happiest period of my life.

Genesis is a place of miracles.
We set countless ambitious goals.
None of them seemed possible with existing technology.
One by one, we made them real.

The density of breakthroughs coming from such a small team, across so many directions at once, feels almost rare in human history.

What you see here is fully autonomous, 1x speed, run on the exact same model.

[Xingyu Lin @Xingyu2017]

@PengchuanZ Welcome! Looking forward to working together!

[Xingyu Lin @Xingyu2017]

🦆

[Xingyu Lin @Xingyu2017]

@danijarh @GoogleDeepMind Can't wait to hear about your next chapter. Best of luck!

[Mostafa Rohaninejad @MostafaRohani]

1/n
I’m really excited to share that our @OpenAI reasoning system got a perfect score of 12/12 during the 2025 ICPC World Finals, the premier collegiate programming competition where top university teams from around the world solve complex algorithmic problems. This would have placed it first among all human participants. 🥇🥇

[Xingyu Lin @Xingyu2017]

It's increasingly evident that synthetic data—including simulation—will be essential for training reliable robotic skills. Big kudos to the Genesis team for pushing the frontier!

[Genesis AI @gs_ai_]

Today, We’re launching Genesis AI — a global physical AI lab and full-stack robotics company — to build generalist robots and unlock unlimited physical labor.

We’re backed by $105M in seed funding from @EclipseVentures, @khoslaventures, @Bpifrance, HSG, and visionaries including @ericschmidt and @Xavier75 .

General-purpose robots will be the next chapter in human history. Half of global GDP is physical. Less than 5% is automated. Today’s robots are too narrow, rigid, and expensive to scale. We need a new generation of adaptable, foundation-model-driven systems.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI. Our team brings together the minds behind many recent key advances spanning robotics, imitation learning, RL, simulation, GPU compilers, and foundation models — bridging historically siloed communities.

We co-created UMI and Diffusion Policy, pioneered RL for superhuman drone racing, and scaled robotic data pipelines at NVIDIA GR00T. We introduced the paradigm of generative simulation, built Genesis, Jiminy, Flightmare, and GVBD Voxels, and invented the IPC algorithm. We built cross-platform GPU compilers VeriGPU, DeepCL, Coriander, and the original PyTorch, and industry-leading rendering engines at Epic, Unity, and Google. We also spearheaded the first multimodal foundation models at Mistral AI and Apple Intelligence.

Now, we’ve come together at Genesis AI to close the loop, and build what’s next.

Join us → https://t.co/RQdf8UzXhO

[Xingyu Lin @Xingyu2017]

We have an amazing line of speakers. Join us tomorrow if you are around #RSS2025

[Carlo Sferrazza @carlo_sferrazza]

Looking forward to an exciting final day of RSS tomorrow with our WCBM workshop kicking off at 8:20 at USC!

More details on the website: https://t.co/gRvbOiXrMe

@RoboticsSciSys @YoungwoonLee @Xingyu2017 @ToruO_O @pabbeel

[Chuang Gan @gan_chuang]

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe!

🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address:
1️⃣ How can robots cooperate or compete intelligently?
2️⃣ How do humans build social bonds and communities?
3️⃣ How can both co-exist in an open, dynamic world?

Announcing Virtual Community Project — a social-physical world simulator, where human characters and robotic agents can interact, grow, and co-evolve within open-world societies, stretching from London to New York, and beyond!

Key features include:
✅ Unified multi-agent physics simulations for rich social + physical interactions of humans and robots
✅ Massive auto-generated 3D scenes grounded with the rea-world geospatial data
✅ Agent communities populated by robots and LLM-driven human characters with rich appearances, personalities, and social ties.

🌍 Enter our Virtual Community, an open world to study embodied AI at scale— one social-physical world model at a time!

🔗 Project: https://t.co/SItesNxOvN
💻 Code: https://t.co/clgr6rP7yJ
Paper: https://t.co/VZ67DUchRg

1/n

[Xingyu Lin @Xingyu2017]

@jerthesquare_ Just arrived. Happy to chat!

[Xingyu Lin @Xingyu2017]

Traveling to #RSS2025 next week. Looking forward to meeting everyone, and chatting about humanoid robots!

[Philipp Wu @philippswu]

Very excited to to have ROS integration for GELLO, built by Franka Robotics! Robot teleoperation data is becoming more and more important for large scale Robot foundation model training. Great to see larger adaption for low cost, scalable teleoperation!

[Xingyu Lin @Xingyu2017]

The first edition of the workshop was a hit — so we’re bringing it back, this time in LA!

[Youngwoon Lee @YoungwoonLee]

#RSS2025 Workshop on Whole-Body Control & Bimanual Manipulation: Applications in Humanoids & Beyond 🤖

Join us with our amazing lineup of speakers from academia & industry!

Share your latest work by May 23 https://t.co/lmnQyYd8A2

@RoboticsSciSys

[Xingyu Lin @Xingyu2017]

@RemiCadene @huggingface Thanks for releasing this! I am curious if the arm is strong enough to have a mounted camera?

[Xingyu Lin @Xingyu2017]

Great post! But the first half of AI is not over. We still need spatial prior for solving physical tasks

[Shunyu Yao @ShunyuYao12]

I finally wrote another blogpost: https://t.co/WddJkbSfks

AI just keeps getting better over time, but NOW is a special moment that i call “the halftime”. Before it, training > eval. After it, eval > training. The reason: RL finally works.

Lmk ur feedback so I’ll polish it.

[Xingyu Lin @Xingyu2017]

@CuckooClock04 @giffmana TBD!

[Xingyu Lin @Xingyu2017]

The robot learning team at OpenAI is hiring. We're a small, talented team building the robotics stack from zero to one, exploring fundamental questions in robot foundation models. Join us to shape the future of intelligent robots! https://t.co/3xyWctkFpO

[Xingyu Lin @Xingyu2017]

@rraj421 Yes, but also multimodal pre-trained models that can perceive and reason.

[Xingyu Lin @Xingyu2017]

@sruj_d We are hiring both senior and junior positions. This JD is for both.