Bay Area Frontier Research Club #15 | Embodied AI (dinner + paper discussion @ Mission Robotics)
Frontier Research Club is going physical — introducing the Embodied AI research track.
The Embodied AI track is a monthly research forum co-hosted with Mission Robotics, in their 8,500 sq ft brick-and-timber robotics facility in the heart of the Mission — a floor shared with more than a dozen robots.
Each session pairs two rigorously selected research talks — world models, robot learning, VLA systems, sim-to-real, manipulation — with a live robot demo on the floor.
Tonight's two talks take one question from both ends: what does it take to trust a model with the physical world? Synthetic data to make autonomy safe at scale — and formal proof that a learned system is safe before you let it act.
The Frontier Research Club is a curated forum for rigorous, technical discussion at the frontier of AI. We convene researchers from the frontier labs, Stanford, Berkeley, and the teams building in production to examine concrete work — papers, methods, and results — with a bias toward assumptions, evaluation methodology, failure modes, and what would count as convincing evidence.
Presentations are intentionally brief so the majority of time is reserved for questions and critique. Papers are shared in advance to ensure a high-baseline conversation.
Agenda
5:30pm: Doors open
5:30pm – 6:30pm: Networking + light dinner
6:30pm – 8:00pm: Research presentations + discussion
8:00pm – 8:30pm: Robot demo + networking
Presenters & topics
Talk 1: Jose M. Alvarez · Director of Research, NVIDIA
Teaching Physical AI to Think Ahead: The Effective Use of Synthetic Data for Safe Autonomy
As autonomous driving systems scale, synthetic data is becoming a key enabler for exposing models to rare, safety-critical, and long-tail scenarios that are difficult or impossible to capture in the real world. This talk explores how high-quality synthetic data — combined with modern foundation models and evaluation frameworks — can systematically improve reasoning, robustness, and generalization, paving the way toward safer and more reliable Physical AI.
Jose leads NVIDIA's Autonomous Vehicle Applied Research group within the Spatial Intelligence Lab, working on end-to-end models, foundation models, and world models for physical AI. Previously a senior researcher at Toyota Research Institute, and a postdoc at NYU's Courant Institute under Yann LeCun.
Pre-reads: ICML 2026 — evaluation · arxiv.org/pdf/2607.16560 · ChronoEdit — synthetic data (NVIDIA)
Talk 2: Rayan Mazouz · Research Scientist, New Theory AI (prev. NASA JPL)
Precision Guidance and Safety in Robotics
Can you give formal safety guarantees for a system whose dynamics are learned rather than specified? Rayan spent seven years as a robotics researcher at NASA's Jet Propulsion Laboratory, where his work on precision landing guidance won the AIAA Guidance, Navigation and Control best paper award. A Fulbright Scholar at Caltech, he is completing his PhD at CU Boulder. His research builds barrier-certificate methods that prove learned systems safe before they act.
Pre-read: Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions (NeurIPS 2022)
Live demo
A robot minigolf course built from Trossen WidowX arms and 3D-printed clubs — a teleop-mechanics demo that debuted at Mission Robotics' Embodied Metal hackathon. Franka, Unitree G1, and YAM-style arms are also on the floor.
Want to present your work?
If you have a research paper you’d like to discuss at one of our next sessions, please submit it for consideration.
Submit your paper here!
Who should attend
Robotics researchers and research engineers
People training or deploying policies on real hardware — manipulation, humanoids, VLA, sim-to-real, world models
Controls, safety, and verification people working on what it takes to trust an autonomous system
Founders and engineers building tooling for robot data, simulation, and evaluation
Capacity is limited.
We will take photos and short video clips for event recap and promotion. By attending, you consent to being photographed and recorded, and to the use of those images and clips by the organizers on social media and other event marketing channels.
🌐 Connect with Frontier Research Club
Luma Calendar: luma.com/frontiersyndicate
YouTube: FrontierResearchClub
LinkedIn: frontier-research-club
Instagram: @frontierresearchclub
Email: kristopher@frontiersyndicate.vc
Hosted by
Frontier Syndicate is a venture community connecting frontier tech researchers, builders, and investors through curated convenings and early-stage capital. Across the Bay Area, we host a recurring series of research forums, builder nights, and intimate investor dinners — and back exceptional companies emerging from the labs, communities, and technical networks we convene.
Mission Robotics is 8,500 square feet in the heart of the Mission — a converted brick-and-timber factory, hardwired for hardware, where founders at the frontier of embodied AI build alongside more than a dozen robots. Home to humanoids, robot arms, a shared data-collection rig, and a frontier world model on tap, it's purpose-built for the people teaching machines to act in the physical world.