
Distinguished Engineer at #NVIDIA, working on #SpatialComputing, #PhysicalAI, #Robotics. Previously Google #AR #VR veteran, Magic Leap, Hulu.
San Francisco, CA
Joined July 2009
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Read the Stand with Jensen letter and consider adding your name. #standwithjensen #bringjensenback standwithjensen.com/
If you are at #CoRL, come check this out!
Human → Sim → Real: turning human videos into robot skills.
Join us at CoRL for “From Human Videos to Dexterous Robot Capability: A Hands-on Tutorial”! nvidia-isaac.github.io/video…
📅 Thursday, November 12, 2026 | 2:00–6:00 PM CST
📍 Hilton Austin, Salon D · Austin, Texas
We’ll share a detailed walkthrough of the complete end-to-end video-to-data pipeline that enables “Human → Sim → Real” adaptability for GR00T 2—from human demonstration videos through simulation to training data for real-world robot skills. github.com/nvidia-isaac/vide…
We’ll also feature:
• A panel on the future of robot learning from humans, exploring opportunities and open challenges.
• The announcement of the V2D Challenge winners, followed by presentations from the winning teams on their solutions.
Kudos to the panelists, instructors, and organizers bringing this tutorial to life!
Panelists:
• @Jeannette Bohg — Stanford University @leto__jean
• @Kuan Fang — Cornell University @KuanFang
• Yuting Ye — Meta
• Kaifeng “Alex” Zhang — Sharpa
• @Roei Herzig — UC Berkeley @roeiherzig
• Louis Lian — Lightwheel
• Javier Romero — Meta
• Yan Chang — NVIDIA @Dr_YanChang
Instructors: @zhu_xinghao, @Mrinal_Verghese, @bowenwen_me, Zeo Liu, @shalin_sj, @Naema Bhatti, and @_abraranwar .
Organizers: Xinghao Zhu, Yan Chang, Zixi (Zeo) Liu, Bowen Wen, Mrinal Verghese, Shalin Jain, John Welsh, Daniel Zou, Abrar Anwar, Naema Bhatti, Michael Lin, Kuan Fang, and Joydeep Biswas.
Thank you for sharing your expertise and making this hands-on learning experience possible!
Explore the agenda and join us: CoRL tutorial details.
#CoRL2026 #RobotLearning #PhysicalAI #GR00T #VideoToData #NVIDIA
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Meet GR00T 2, our new generation of world-action models (WAMs): it imagines how the physical world will unfold and generates the actions that get it there. One model runs on parallel grippers, dexterous hands, and humanoids.
research.nvidia.com/labs/gea…
It's always great seeing data collaborations :)
Noitom Robotics Unveils Massive Dataset for Humanoid #Robot Training
by @spaceandtech_
#HumanoidRobotics #AI #Robotics #EmergingTech #Innovation #Technology
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Jiwen Cai retweeted
The hardest problems in AI aren't research problems anymore. They're deployment problems. It’s how we actually deliver real value, today, to build the future people want.
That’s why, after 20 years in AI, my next step was inevitable: make robots do useful work for and alongside people, right now.
Today, I am delighted to announce the launch of @WaldenRobotics to tackle just that.
We started this year and are coming out of stealth today with a $300M seed round backed by some of the most serious companies and investors in the world. They have seen firsthand our general-purpose robots being useful in production on day one, and getting better every day after. You can see a glimpse of what we've been building in the video below.
Physical AI has gone through a rapid phase transition, in part thanks to pioneering research from my friends and co-founders @RussTedrake , @Ben_Burchfiel , Siyuan Feng, @RaresAmbrus , and many others at Walden. But from our long experience working together with co-founders Kerri Fetzer-Borelli and Dave Johnson, we learned how hard it is to deploy cutting-edge AI in a real, live, incredibly sophisticated production environment with an intricate ballet of automation and human ingenuity.
That’s why we deliberately created Walden Robotics as a full-stack, human-centric, customer-focused robotics company from the start: we seeded the company with a world-class team across hardware, software, AI, deployment, operations, product, and business talent, so we could continuously optimize our whole system end-to-end, deeply and purposefully, from real-world experience with real customers.
The efficacy of this strategy speaks for itself: since February, our general-purpose robots have been doing useful work in production at a Toyota plant in North America, moving from first pilot to real work in under two months. Not a lab. Not a demo. Not a future promise. Real work on a real line, today, at one of the best large-scale manufacturers in the world, with general-purpose robots that get better every day. And this is just the beginning.
Two ways to find us:
If you run a manufacturing or logistics business and want robots that are widely useful now, not someday, let's talk. We own “hirearobot.com” for a reason!
And if you want to build them: we're hiring across the company, from software, to hardware, AI, ops, product, business, and more. In particular, as the Chief Strategy Officer at Walden, I am recruiting for three incredibly impactful founding roles to fuel our agent-native go-to-market engine. Check out waldenrobotics.com/careers
Let’s build together!
Jiwen Cai retweeted
Physical AI won’t be defined by the best demo. It’ll be defined by who can deploy reliably in real production environments and continuously improve from real-world experience.
The hardest problems in AI aren't research problems anymore. They're deployment problems. It’s how we actually deliver real value, today, to build the future people want.
That’s why, after 20 years in AI, my next step was inevitable: make robots do useful work for and alongside people, right now.
Today, I am delighted to announce the launch of @WaldenRobotics to tackle just that.
We started this year and are coming out of stealth today with a $300M seed round backed by some of the most serious companies and investors in the world. They have seen firsthand our general-purpose robots being useful in production on day one, and getting better every day after. You can see a glimpse of what we've been building in the video below.
Physical AI has gone through a rapid phase transition, in part thanks to pioneering research from my friends and co-founders @RussTedrake , @Ben_Burchfiel , Siyuan Feng, @RaresAmbrus , and many others at Walden. But from our long experience working together with co-founders Kerri Fetzer-Borelli and Dave Johnson, we learned how hard it is to deploy cutting-edge AI in a real, live, incredibly sophisticated production environment with an intricate ballet of automation and human ingenuity.
That’s why we deliberately created Walden Robotics as a full-stack, human-centric, customer-focused robotics company from the start: we seeded the company with a world-class team across hardware, software, AI, deployment, operations, product, and business talent, so we could continuously optimize our whole system end-to-end, deeply and purposefully, from real-world experience with real customers.
The efficacy of this strategy speaks for itself: since February, our general-purpose robots have been doing useful work in production at a Toyota plant in North America, moving from first pilot to real work in under two months. Not a lab. Not a demo. Not a future promise. Real work on a real line, today, at one of the best large-scale manufacturers in the world, with general-purpose robots that get better every day. And this is just the beginning.
Two ways to find us:
If you run a manufacturing or logistics business and want robots that are widely useful now, not someday, let's talk. We own “hirearobot.com” for a reason!
And if you want to build them: we're hiring across the company, from software, to hardware, AI, ops, product, business, and more. In particular, as the Chief Strategy Officer at Walden, I am recruiting for three incredibly impactful founding roles to fuel our agent-native go-to-market engine. Check out waldenrobotics.com/careers
Let’s build together!
Jiwen Cai retweeted
A few big updates from EgoVerse.ai:
1. EgoVerse is coming to RSS'26! @ryan_punamiya will present the work, and @simar_kareer will give a keynote at the Data-Centric Robotics workshop.
2. EgoVerse is expanding with more industry partners, including @microagi, @LightwheelAI, and Trace Labs, with a growing pool of training-validated, permissively licensed data (hitting 10k hours soon).
3. We are building the ecosystem around egocentric intelligence: Through a new partnership with the @nvidia Inception Program, we are connecting data vendors with researchers who can put this data to work.
We just open-sourced Isaac Teleop at #GTC26! It’s one unified framework for sim & real robot teleoperation.
The goal was simple: stop the fragmentation. Whether you’re working with Isaac Sim or real robots, this framework gives you a simple, unified way to handle teleoperation and data collection.
💻 Try it on GitHub: github.com/NVIDIA/IsaacTeleo…
📚 Learn more about it: nvidia.github.io/IsaacTeleop
More details in the coming days!
#NVIDIA #Robotics #OpenSource #GTC26
Use AI to create photo realistic environment for any 3D assets youtu.be/x78NzjNtUhA?feature… via @YouTube
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While #GenAI offers impressive capabilities, it often falls short in delivering consistent and controllable results for broader production needs
#CloudZeta’s hybrid #rendering technology seamlessly blends #photorealistic product visualization with #GenAI, enabling you to market your products with limitless #AI-generated scenes and narratives.
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One the the images here takes 100 times longer to render. Can you guess which one?
Last week's comparison might have be 100% fair as the compositions were different between two shots. Here is the more apple-to-apple comparison:
Please vote 👇
With Cloud Zeta, you can bring any #3D model to #visionOS
youtu.be/EiizBHvjFGI?feature… via @YouTube
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