Marco Pavone
@drmapavone
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Prof @Stanford, Distinguished Research Scientist and AV research lead @nvidia. PhD from @MITAeroAstro. Robotics, autonomous systems, AI. Opinions are my own.
Stanford, CA USA
Joined November 2018
Here’s a short explainer on NVIDIA’s approach to Level 4 autonomy and robotaxis: 🎥 Video: https://t.co/XtFeYm2R04 For more details, see the accompanying blog post: 📰 Blog: https://t.co/OsyZsLQQZU And for those interested in the research behind our reasoning models for
blogs.nvidia.com
Level 4 autonomous driving enables vehicles to handle all driving tasks within specific operating zones — such as certain cities or routes — without the need for human intervention.
🚗 What does level 4 autonomy 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 mean? @drmapavone, NVIDIA Director of Autonomous Vehicle Research and Stanford professor, breaks down the breakthroughs enabling L4 autonomy, and the full-stack safety system that makes it possible. 🎥 Watch the explainer:
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Excited to unveil @nvidia's latest work on #Reasoning Vision–Language–Action (#VLA) models — Alpamayo-R1! Alpamayo-R1 is a new #reasoning VLA architecture featuring a diffusion-based action expert built on top of the #Cosmos-#Reason backbone. It represents one of the core
nvidianews.nvidia.com
NVIDIA today announced it is partnering with Uber to scale the world’s largest level 4-ready mobility network, using the company’s next-generation robotaxi and autonomous delivery fleets, the new...
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We’ve just released the @nvidia Physical AI Autonomous Vehicles Dataset! https://t.co/zhCHg4tGOB Highlights: - 1,727 hours of driving data collected by @nvidia - Spanning 25 countries and 2,500+ cities - Capturing diverse traffic, weather, and driving scenarios - Includes
huggingface.co
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Our livestream on using simulation to accelerate safety validation is now live! 🎥 Watch here: https://t.co/iofDDwDG30 We also include a live coding demo — check out the notebook here:
github.com
Contribute to NVlabs/sim2val development by creating an account on GitHub.
🚗💭 End-to-end AI driving stacks are here, but how do we help ensure they’re safe? From reasoning VLA models to high-fidelity simulation, see how NVIDIA researchers are redefining how vehicles learn and how we keep them safe. 👀 Watch the livestream: https://t.co/dQzVIPf7nZ
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Indeed, sorry to hear about the recent Meta AI layoffs. If you’ve been affected and are interested in opportunities at @NVIDIAAI, check out the info below 👇
Saddened to hear about the recent Meta AI layoffs. We’re actively hiring for autonomous driving in NVIDIA Research. If you’ve researched large models, RL/simulation, or AI safety, we’d love to talk! 💚 https://t.co/l2hX1PydPX
https://t.co/moPL5X7euR
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🚗🤖 Interested in reasoning models for embodied AI? I’m excited to share that at #NVIDIAGTC in DC I’ll unveil our latest work at #NVIDIA on reasoning Vision-Language-Action (VLA) models for vehicle autonomy: I’ll cover how we’re: • Advancing reasoning in VLA models •
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Simulation is one of the fastest-growing technologies in Physical AI. It’s now widely used for both testing and training—but can it also be applied to safety validation, where accurate estimates of safety metrics are critical? Join me and my @NVIDIAAI colleagues,
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We’re now hiring full-time researchers in NVIDIA’s Autonomous Vehicle (AV) Research Group @NVIDIAAI! Jump into frontier AI challenges—from reasoning models and generative simulation to AI safety—and help define the next era of autonomous systems and embodied AI. Apply here: 🔹
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The Autonomous Vehicle (AV) Research Group @NVIDIAAI is looking for talented interns! Dive into cutting-edge work—from reasoning models and generative simulation to AI safety—and help shape the future of AV and embodied AI. Ready to push the limits? Apply now:
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🚀 First demonstration of learning-accelerated trajectory optimization in space! Our team used a neural network to warm-start trajectory optimization for the @NASA's Astrobee free-flying robot on-board the @Space_Station, cutting solver iterations by up to 60% while maintaining
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Honored and humbled to receive the 2026 @IEEEorg Kiyo Tomiyasu Technical Field Award for advancing the science and practice of robot autonomy — on Earth and in space. Even more special to share this announcement with two pioneers of robotics! More here:
ieee-ras.org
Big #robotics and autonomy news - @ETH_en's Roland Siegwart, @Stanford's Marco Pavone, and @PennEngineers and @PennEngAI's George Pappas are receiving 2026 @IEEEorg Technical Field Awards! Get more details in this @ieeeras article: https://t.co/mvD619nIne
#IEEEAwards2026 #TFAs
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We’re now accepting applications for the 2026–2027 NVIDIA Graduate Fellowships! If you’re passionate about advancing cutting-edge reasoning models for Physical AI applications 🚗🤖, apply here: https://t.co/ZAzpxXxsDS — and be sure to select “Autonomous Vehicles.” @NVIDIAAI
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Work led by @milanganai, in collaboration with @RohanSinhaSU @agiachris Daniel Morton. Accepted as oral @corl_conf
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