Hosts: Junfan Zhu, Aurora Feng
discord.gg/WH7DrTHRXK
Robotics & World Models Reading Club 16: The Embodied AI Hardware Stack — Supply Chain, Sensors, and the Data Flywheel — SF 07/04
Robotics & World Models Reading Club 16: The Embodied AI Hardware Stack — Supply Chain, Sensors, and the Data Flywheel — San Francisco
A high-signal reading group for AI researchers & builders pushing the frontiers of robotic world models, WAMs, and embodied intelligence. In our previous sessions, we brought together researchers and engineers from Boston Dynamics, Google DeepMind, NVIDIA, Stanford, UC Berkeley, Dyna, Physical Intelligence, Tesla, Generalist, Rhoda AI, and leading Bay Area robotics startups.
Hosted by Junfan Zhu & Aurora Feng.
Reading Club 16's Core Theme
The Embodied AI Hardware Stack — Supply Chain, Sensors, and the Data Flywheel — SF 07/04 Independence Day
Today we celebrate Independence Day Robotics at Robotics Center of Silicon Valley SF HQ! We (Saturday Robotics) warmly congratulations to our reading club friend Jerry Huang and the entire Robotics Center of Silicon Valley team on the grand opening of the new San Francisco HQ! 🎉🤖
Keynote by Jerry Huang: Owning the Door, Building the Engine: A Field Guide to the Physical AI Hardware & Data Supply Chain
The embodied AI race is often framed as a contest of models and algorithms — but whoever controls the hardware door and the data pipeline controls the economics. This talk offers a builder's-eye, vendor-neutral map of the physical AI hardware stack as it actually exists in mid-2026: who makes what, where the bottlenecks are, and why the highest-value position isn't the robot or the model, but the evaluation and data loop in between.
Drawing on hands-on experience distributing, renting, and integrating hardware across the major humanoid, manipulator, and sensor manufacturers, I'll cover three layers:
(1) The Hardware Landscape. A practical overview of today's manipulator arms, humanoids, mobile bases, and the tactile/vision sensor ecosystem — from teleoperation rigs to dexterous gloves. What's real, what's hype, what's actually shippable, and how compliance (export control, NDAA §889, Buy American) quietly reshapes who can buy what.
(2) The Data Production Problem. Why high-quality embodied data — teleoperation, egocentric video, motion capture — is the true scarce resource, and how hardware becomes the customer-acquisition door into a data business. The "Timing Tax": observation-action sync jitter as an underappreciated source of noise in imitation learning.
(3) The Flywheel & the Chokepoint. How hardware → data → evaluation/RL loop compounds, and why owning the eval loop is the most defensible position in the embodied AI stack. A hot take or two on where this market consolidates. I'll close with a brief introduction to Robotics Center — what we're building at the intersection of hardware distribution and embodied data production — and open the floor for debate.
Keynote Speaker: Jerry Huang is Founder & CEO of Robotics Center, a vertically integrated physical AI data production and robotics hardware platform. His work spans hardware distribution across the major robotics manufacturers, embodied data production (teleoperation, egocentric, motion capture), and own-brand hardware including the OpenArm dual-arm system and a tactile glove. Robotics Center is a Y Combinator (S25) company based in San Francisco.
Lightning Talk
FAEA: Frontier Agent as Embodied Agent, accepted IROS 2026 proceedings paper that repurposes an LLM code-agent framework originally designed for software engineering as a robotic control system. Instead of training a new manipulation policy, FAEA uses the agentic loop of code agents—state inspection, reasoning, execution, and self-correction—to solve embodied manipulation tasks without demonstrations or fine-tuning. Evaluated across LIBERO, ManiSkill3, and MetaWorld, FAEA shows that frontier code-agent infrastructure can serve as a practical task-level controller for simulated robotics and a tool for generating successful trajectories for future embodied learning.
Pre-reading:
Paper: https://arxiv.org/abs/2601.20334v1
Github: https://github.com/robiemusketeer/faea-sim
Medium post: https://medium.com/@brianytsui/claude-code-as-embodied-agent-to-control-robots-85-96-success-in-sim-with-zero-demonstration-455a9044d353
Presenter: Brian Y Tsui, PhD (Independent Researcher). AWS Applied Scientist, UCSD PhD
Location
San Francisco (Downtown)
Date & Time
Saturday, July 4, 2026 | 2:00 PM – 5:00 PM
Join Discord Community
https://discord.gg/WH7DrTHRXK
Follow Saturday Robotics on X
https://x.com/saturdayrobotic
Agenda
2:00 PM – 2:30 PM Door Opens & Social
Food 😋, beverages🧋 and UNLIMITED strawberries 🍓 (our official reading club fruits ☺️😄).
2:30 PM – 3:30 PM Keynote by Jerry Huang
3:45 PM – 4:15 PM Lightning Talk by Brian Y Tsui
Online access via Zoom: TBD
YouTube Recording: TBD (We are looking for recording volunteers)
4:30 PM – 5:00 PM Q&A, open-floor roundtable (10–20 min per topic) on spotlight papers or any paper you’d like to highlight. Feel free to share why the paper matters and its technical details.
Future events
#reading-club-20-0725: Agentic Robotics Models (ENPIRE and Cap-X), Mountain View 07/25
Session 20 Luma: https://luma.com/5ltk12w5
#SIGGRAPH-reading-club-19-0722: SIGGRAPH x Saturday Robotics — World Models for Robotics: Bridging Graphics, Simulation & Physical Intelligence | Reading Club 19, LA 07/22
Session 19 Luma: https://luma.com/yh2212ac
#reading-club-18-0718: Causal World Models For Real-World Intelligence. SF 07/18
Session 18 Luma: https://luma.com/f74eguvr
#reading-club-17-0711: Soft Tactile-Centric Multimodal Intelligence Toward Safe and Dexterous Manipulation. SF 07/11
Session 17 Luma: https://luma.com/e53zawq2
Past events
#reading-club-15-0627: Scaling Touch: Flexible Tactile Skin for Dexterous Manipulation
Binghao Huang, Columbia, Amazon FAR.
Session 15 Luma: https://luma.com/7lts5ppf
Reading Club 15 Review: https://x.com/junfanzhu98/status/2071129728984273105?s=20
Reading Club 15 Recap: https://x.com/junfanzhu98/status/2071132114226139489?s=20
#deep-tech-week-14-0625: Deep Tech Week Research Night
SPEAR: A Simulator for Photorealistic Embodied AI Research. (ECCV 2026 accepted) by Mike Roberts, Senior Research Scientist, Adobe Research.
Bogdan Cristei, Venture Partner at SHACK15 Ventures.
Simone Totaro, CTO at Saturn Dynamics.
Shumo Chu, CEO at General Intelligence Labs.
Margaret Zhang, CEO at ThirdBrain Labs.
Session 14 Luma: https://luma.com/l1g9c2l1
Deep Tech Week 14 Review: https://x.com/junfanzhu98/status/2070417784560066592?s=20
Deep Tech Week 14 Recap: https://x.com/junfanzhu98/status/2070420270964514923?s=20
#reading-club-13-0620: HumanEgo: Train Robot Policy from 30 min Egocentric Videos — SF 0620
Session 13 Luma: https://luma.com/6vkhxnum
Reading Club 13 Review 1: HumanEgo: Zero-Shot Robot Learning, Human Egocentric Video, Leo Wang, Amazon FAR & UMaryland https://x.com/junfanzhu98/status/2068603103138713824?s=20
Reading Club 13 Recap 1: https://x.com/junfanzhu98/status/2068605511549743127?s=20
Reading Club 13 Review 2: Causal World Models: Biwei Huang, Aether AI & UCSD
Reading Club 13 Recap 2: https://x.com/junfanzhu98/status/2068746229643936177?s=20
#reading-club-12-0613: Origami Robotics (YC W26) on Dexterity
Session 12 Luma: https://luma.com/5w7c1t2a
Reading Club 12 Review: https://x.com/junfanzhu98/status/2066275974988337178?s=20
Reading Club 12 Recap: https://x.com/junfanzhu98/status/2066278639554245097?s=20
#cvpr-denver-meetup-0606: Saturday Robotics CVPR & World Models Researchers Meetup—Denver 0606
CVPR Denver Luma: https://luma.com/zamm9g2g
#reading-club-08-0516: Embodied Human Data as the “Internet of Motion and Behavior”
Session 08 Luma: https://luma.com/qoxioge7
#reading-club-07-0509: Learning to Dream: World Models, Imagination, Path to Foundation Models for Control
Session 07 Luma: https://luma.com/srhe0vuo
#reading-club-06-0502: Evolution of Video World Models for Robotics
Session 06 Luma: https://luma.com/sdrd4zwr
Reading Club 06 Review: https://x.com/junfanzhu98/status/2050834699275383008?s=20
#reading-club-05-0425: World Models for Physical Intelligence: From Predictive Brains to Embodied Robots
Session 05 Luma: https://luma.com/p7zvpyvg
Reading Club 05 Review: https://x.com/junfanzhu98/status/2048315020946317710?s=20
YouTube Recording: https://youtu.be/RVy6oQXNDgc?si=u2VLtCBjfdMvXaf-
#reading-club-04-0418: Abstractions of the Physical World for Decision-Making
Session 04 Luma: https://luma.com/atv7bm3i
Reading Club 04 Review: https://x.com/junfanzhu98/status/2045770010979905862
YouTube Recording: https://www.youtube.com/@saturdayrobotic
#reading-club-03-0411: Robotic Policy Adaptation
Session 03 Luma: https://luma.com/561xgirg
Reading Club 03 Review: https://x.com/junfanzhu98/status/2043243484568768519?s=20
YouTube Recording: https://www.youtube.com/@saturdayrobotic
#reading-club-02-0404: JEPA Zoo
Session 02 Luma: https://luma.com/g3qrrti0
Reading Club 02 Review (liked by Yann LeCun on X): https://x.com/junfanzhu98/status/2040716119259164673?s=20
#reading-club-01-0328
Session 01 Luma: https://luma.com/8s4w1wu6
Reading Club 01 Review (liked by Yann LeCun on X): https://x.com/junfanzhu98/status/2038153945219305812
Logistics
Spots are limited. Please arrive by 2:00 PM for check-in. Keynote will begin promptly at 2:30 PM.
We currently do not have volunteers available to assist with late check-ins. Given the high volume of inquiries and 100+ attendees (both online and onsite), we kindly ask that you arrive on time to ensure smooth entry.
Hosts: Junfan Zhu, Aurora Feng
discord.gg/WH7DrTHRXK