NVIDIA Robotics inspires visionaries and developers to create the next generation of AI-driven robots and explore the world of physical AI.
Santa Clara, CA
Joined November 2009
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NVIDIA announces new Isaac tools for agents as Agile Robots unveils Agile ONE SN, a reference humanoid for robotics research. 🦾
Built on NVIDIA Isaac GR00T and powered by Jetson Thor, Agile ONE SN gives researchers and developers an integrated platform to develop, train and validate humanoid skills.
The Isaac expansion also introduces new datasets, a runtime, and robot learning framework updates to accelerate development from data to deployment.
Read the #NVIDIAGTC announcement: nvidianews.nvidia.com/news/n…
NVIDIA Robotics retweeted
Multi-arm robots can do more together, but teaching them to coordinate carefully is hard.
Introducing ScheduleGen, an automated data gen system for multi-arm manipulation.
We evaluate it in 28 sim and 8 real-world tasks including real2sim2real.
njawale42.github.io/Schedule…
NVIDIA Robotics retweeted
Teaching a robot general tasks used to be a team of experienced engineers and lots of expensive hardware. Now it’s just an afternoon and a laptop.
If you can direct a coding agent, you can train a robot.
We built a tutorial with @NVIDIARobotics to show you how: viam.com/resources/train-nvi…
Robot skills start with the worlds they learn in. 🌍
Watch frontier AI agents use NVIDIA Isaac tools to build simulation worlds and train and evaluate robot skills. Then see how Agile ONE SN helps developers bring new skills into the real world.
How to Maximize Memory Efficiency and Reduce Costs on NVIDIA Jetson nitter.cf/i/broadcasts/1AKEmvEoX…
NVIDIA PVA SDK 2.10 helps Jetson developers accelerate sensor processing using the PVA with a new compiler, host emulator, and AI agent skills to build, test, and debug PVA code.
Get started 👇
Excited to collaborate with Sereact and Otto Group to tackle the complexities of logistics. 🦾
The first 10 Sereact dual-arm robots will be deployed at @OttoGroup_Com's logistics center in Poland to grasp, identify, assess and sort returns, including items they’ve never seen before.
15 more are planned in phase two, bringing the program to 25.
This is what the future of physical AI looks like.
Full announcement in the comments.
What's New in Isaac Lab 3.0 | Robotics Office Hour nitter.cf/i/broadcasts/1kKzDPZzB…
NVIDIA Robotics retweeted
Excited to share that VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation has been accepted to #CoRL2026! 🎉🤖
VoLo explores agentic robotics for long-horizon, open-vocabulary tasks, where a VLM acts as the robot’s brain with memory to reason, plan, monitor, detect failures, recover, and orchestrate tools—including VLA/WAMs, vision models, and action primitives.
We also introduce RoboVoLo, a high-fidelity simulation benchmark with 126 tasks spanning common sense, memory/state tracking, complex references, and world knowledge, together with detailed diagnosis of current system limitations.
This work was done during my internship at @nvidia @NVIDIAAI @NVIDIARobotics. Huge thanks to all collaborators @HugoHadfield1, Alexander Zook, @mikacuy, @luke_ch_song, @erwincoumans, @xuningy, Faisal Ladhak, @BirchfieldStan, Jonathan Tremblay, and @robovalts!
🔗 Project: chicychen.github.io/VoLo/
💻 Code: github.com/NVlabs/VoLoAgent
📊 RoboVoLo Benchmark: github.com/NVlabs/RoboVoLo
Looking forward to discussions at CoRL 2026 — hope to meet many of you in person!
#CoRL2026 #AgenticRobotics #Robotics #EmbodiedAI #RobotLearning #PhysicalAI #NVIDIA
Serving World Models: Latency vs Throughput with NVIDIA Cosmos 3 Super on Nebius | Cosmos Labs nitter.cf/i/broadcasts/1kKzDPZaR…
Run bigger AI models with less memory on NVIDIA Jetson.
Join us live with @RidgeRunX and @ConnectTechInc to explore model quantization, efficient inference runtimes, and NVIDIA Jetson Agent Skills. See how large vision-language models fit into less memory and how memory optimization supports a real robotics application.
Bring your questions and learn how to make room for more AI.
🕛 Thursday, 10/29 at 11:00 AM PT
📅 Add to calendar: nvda.ws/4jOFBO9
ALT NVIDIA chip with digital overlay and workers in warehouse.
What’s new in NVIDIA Isaac Lab 3.0?
Join our Robotics Office Hours for a closer look at multi-physics support, multi-rendering support, and RL post-training. We’ll walk through examples and share learning resources to help you get started.
Bring your robot learning questions.
🕧 Wednesday at 11:00 AM PT
🔗 nvda.ws/4zWKDwJ
ALT Robot in a colorful kitchen for NVIDIA Robotics Office Hours.
NVIDIA Robotics retweeted
Join us at Altera Innovators Day in San Jose on October 28 and hear from featured speaker Deepu Talla, VP and GM of Robotics and Edge AI at NVIDIA.
Register Today. go.altera.com/innovators-day…
Exciting to see NVIDIA Cosmos 3 Nano put to the test in the WorldOracle benchmark, comparing its predictions with real-world executions on the Agibot G2 robot. 🎉
We adapt and evaluate Cosmos 3 Nano in WorldOracle.
We initialize it from the official 16B checkpoint and compare its predicted rollouts with paired real-world executions.
#NVIDIACosmos #PhysicalAI
NVIDIA Robotics retweeted
Isaac Lab 3.0 tutorial released! Link in bio
@NVIDIARobotics
Now that’s a lineup. 💚
A spotlight on a few of our robotics and automotive partners from Europe and around the world as we celebrate the entire ecosystem bringing physical AI to life.
To all our partners, thanks for building with us and making moments like this possible. #NVIDIAGTC
Shout out to the partners featured: @1x_tech , @ABBRobotics, Agile Robots, @agilityrobotics, @anybotics, @Apptronik, @bearrobotics, Disney Research, @EnchantedTools, @FamiliarMxM, @FANUCAmerica, @faunarobotics, @Figure_robot, @HexagonAB, @TheHumanoidAI, Idealworks, @KIONGroup, KUKA, @MenteeBot, @NEURARobotics, @NobleMachines, @personaaiinc, @pollenrobotics, @Universal_Robot, and @WandercraftHQ. 🤖
NVIDIA Robotics retweeted
From autonomous vehicles to smarter factories, companies are putting physical AI to work.
We’ve added new NVIDIA Cosmos tools to help developers generate training data, train world models and test them before deployment.
See how @Porsche, @MercedesBenz, @encord_team, @Siemens, @fogsphere, and @ltx_io are using Cosmos across robotics, autonomous driving and factory operations 👇