Hosts: Junfan Zhu, Aurora Feng
discord.gg/WH7DrTHRXK
Robotics & World Models Reading Club 27: Rethinking Robot Development: Co-Designing Morphology, Sensing, and Learning. SF 9/5
Robotics & World Models Reading Club 27: Rethinking Robot Development: Co-Designing Morphology, Sensing, and Learning
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, Physical Intelligence, Tesla, Generalist, Rhoda AI, and leading Bay Area robotics startups.
Hosted by Junfan Zhu & Aurora Feng.
Reading Club 27's Core Theme
Rethinking Robot Development: Co-Designing Morphology, Sensing, and Learning
Keynote: Chenyang Ma (Applied Intuition, UNC)
Robot learning is often treated as a software problem built on top of fixed hardware: a robot is first designed, sensors are then integrated, and learning algorithms are finally developed for the resulting platform. This separation, however, overlooks how strongly a robot’s morphology and sensing mechanisms shape the behaviors it can learn. Handroid explores morphology reuse through a 27-DoF reconfigurable platform, enabling the same robot to seamlessly switch between a humanoid for mobility and whole-body interaction and a dexterous hand for fine-grained manipulation. Current as Touch reconsiders the boundary between actuation and sensing by using motor current and joint states as intrinsic contact feedback for compliant dexterous manipulation without dedicated tactile sensors. This body of work examines how morphology, embodied sensing, and learning can be developed around shared interaction requirements rather than as isolated stages. Such co-design can streamline robot development and enable learning models to better exploit the capabilities and constraints of the underlying hardware.
Keynote 2:
Shumo Chu (General Intelligence)
Large language models were pre-trained on a corpus the internet had already written. Robot foundation models have no such corpus. The action-space data a manipulation policy needs, meaning pose, vision, touch, and hand motion recorded in the real world, is performed by human hands every day and then lost. Someone has to record it.
At General Intelligence Labs we are building that data layer end to end: capture hardware, a global collection fleet, and a post-processing pipeline that turns human work into training-ready episodes. We will cover why the egocentric viewpoint is the policy's own frame, why hardware-clocked, factory-calibrated sensors matter more than raw video, and how a single capture platform now spans four modalities: the GI EGO1GS stereo headset, the UMI0 bimanual gripper, a tactile gripper with per-fingertip force sensing, and a motion-capture glove for dexterous, multi-finger manipulation. We will share what our operator fleet has learned recording real work where it actually happens, in kitchens, shop floors, construction sites, and farms across multiple countries, and show the loop closed: a vision-language-action policy fine-tuned on a small set of handheld human demonstrations, with zero teleoperation, running on a real bimanual robot.
Looking ahead, we will lay out the next phase: scaling collection by orders of magnitude, touch as a first-class training signal, second-generation capture hardware, and an evaluation loop in which policy failures decide what gets captured next. The goal is a capture stack that scales with people, not robots. The data layer for the next billion robots.
Pre-Readings
Location
San Francisco
Date & Time
Saturday, September 5, 2026 | 2:00 PM – 5:00 PM
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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 Chenyang Ma (Applied Intuition, UNC)
YouTube Recording: TBD (We are looking for recording volunteers)
3:30 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.
Past events
#reading-club-25-0829: Sunnyvale 8/29
Session 25 Luma: https://luma.com/enowqo5v
#reading-club-24-0822: Contact-Rich Robot Learning from Human Videos and Tactile. SF 8/22
Kelin Yu (Maryland, Amazon FAR)
Session 24 Luma: https://luma.com/yl76re1b
#reading-club-23-0815: Engineering Robotic Simulators for Evaluation and Beyond. SF 8/15
Kaifeng Zhang (Columbia, World Labs)
Session 23 Luma: https://luma.com/non72bev
#reading-club-22-0808: ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow. SF 8/8
Haoyi Niu (UC Berkeley)
Session 22 Luma: https://luma.com/7nnl4a5r
#reading-club-21-0801: Vision-Language-Kinematics Supervision for Perception-Based Humanoid Loco-Manipulation — SF 8/1
Yen-Jen Wang (UC Berkeley, Amazon FAR)
Session 21 Luma: https://luma.com/4xkibxbh
Reading Club 21 Review: https://x.com/junfanzhu98/status/2083948325112533456?s=20
Reading Club 21 Recap: https://x.com/junfanzhu98/status/2083950393734975839?s=20
#reading-club-20-0725: Agentic Robotics Models (ENPIRE and Cap-X), Mountain View 07/25
Haoru Xue (UC Berkeley)
Kris Hauser (Samsung Research America, Robot Intelligence Lab)
Session 20 Luma: https://luma.com/5ltk12w5
Reading Club 20 Review: https://x.com/junfanzhu98/status/2081420671180284190?s=20
Reading Club 20 Recap: https://x.com/junfanzhu98/status/2081423890988044794?s=20
#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 19 Review: https://x.com/junfanzhu98/status/2081923681627079055?s=20
Reading Club 19 Recap: https://x.com/junfanzhu98/status/2081924824709124174?s=20
#reading-club-18-0718: Causal World Models For Real-World Intelligence. SF 07/18
Guanming Wang & Bill (General Instinct, YC P26)
Feng Fan (UCSD, Aether AI)
Session 18 Luma: https://luma.com/f74eguvr
Reading Club 18 Review: https://x.com/junfanzhu98/status/2078738476602884502?s=20
Reading Club 18 Recap: https://x.com/junfanzhu98/status/2078747463058694625?s=20
Autonomous Panel Moderation: Rebuilding the Factory: Physical AI on the Production Line: https://x.com/junfanzhu98/status/2078385948887490814?s=20
#reading-club-17-0711: Soft Tactile-Centric Multimodal Intelligence Toward Safe and Dexterous Manipulation. SF 07/11
Quan Luu, Purdue.
Session 17 Luma: https://luma.com/e53zawq2
Reading Club 17 Review: https://x.com/junfanzhu98/status/2076205508646850819?s=20
Reading Club 17 Recap: https://x.com/junfanzhu98/status/2076207394426917187?s=20
#private-lunch-icml-0709: Saturday Robotics x ICML Private Lunch (Seoul)
Private Lunch: https://luma.com/khqg11gt
#reading-club-16-0704: The Embodied AI Hardware Stack — Supply Chain, Sensors, and the Data Flywheel — SF 07/04
Jerry Huang, Robotics Center of Silicon Valley.
Session 16 Luma: https://luma.com/cgzyfpeb
Reading Club 16 Review: https://x.com/junfanzhu98/status/2073666442512547957?s=20
Reading Club 16 Recap: https://x.com/junfanzhu98/status/2073667174678589620?s=20
#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-11-0606: 🤖🥘 Saturday Robotics x Manycore Tech x Neural Motion | CVPR 2026 Denver Research Night | Robotics & World Models Reading Club 11
Junfan Zhu & Aurora Feng, Founders of Saturday Robotics
Anthony Zhao, Head of North America at Manycore Tech SpacialVerse
Aurora Feng, Founder at Neural Motion. NM-GenET.
Max Zhaoshuo Li, Robotics and World Model Tech Lead at NVIDIA Cosmos. Cosmos 3.
Xiaofan Li, World Model Tech Lead at X Square Robot. WALL-WM.
Zesen Zhao, University of Michigan. Test-Time Scaling for World Action Models via Zero-Shot Geometric Verification.
Pengyi Liao. VGGT-Ω: From 3D Reconstruction to Scalable Spatial Representation.
Jie Wang, University of Pennsylvania, GRASP Lab. Toward a Robotics MMLU: Lessons from Sim & Real Evaluations of Generalist Policies.
Gordon Qian, Senior AI Researcher at Snap. Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning.
YouTube livestream: Watch on YouTube
CVPR Denver Research Night Luma: https://luma.com/zamm9g2g
CVPR Denver Research Night Lightning Talks Review: https://x.com/junfanzhu98/status/2065102150418788581?s=20
CVPR Denver Research Night Lightning Talks Recap: https://x.com/junfanzhu98/status/2065104616497524843?s=20
CVPR Hot Takes Review: https://x.com/junfanzhu98/status/2065234892653547904?s=20
CVPR Hot Takes Recap: https://x.com/junfanzhu98/status/2065236892988416166?s=20
#reading-club-10-0530: Bringing Robots to Life — Learning Humanoid Instincts from the Body Up | San Francisco 0530
Haochen Shi (Stanford, co-advised by Karen Liu & Shuran Song)
Session 10 Luma: https://luma.com/czz76qe1
Reading Club 10 Recap: https://x.com/junfanzhu98/status/2061145697693683878?s=20
#private-dinner-01-0529: Robo Plov x Saturday Robotics
Private Dinner 01 Luma: https://luma.com/3rzqwond
Private Dinner 01 Review: https://www.linkedin.com/posts/junfan-zhu_saturday-robotics-was-excited-to-host-its-activity-7466384182190182400-Zgnv?utm_source=share&utm_medium=member_desktop&rcm=ACoAABxP-p0BpUNGDf347aKh_1uJAPzG4er0As8
#reading-club-09-0523: CVPR Warm-up & Founders Spotlight — DeltaWorld + VisuoTactile Dexterous Hands
Tommie Kerssies (Amazon Frontier AI & Robotics)
Arjun Subramaniam (Factory Intelligence)
Session 09 Luma: https://luma.com/wooiz0bf
Reading Club 09 Review: Part 1: Robotics & World Model Reading Club 9.1: CVPR Warm-up— A Frame is Worth 1 Token: DeltaToken. https://x.com/junfanzhu98/status/2058449627184267621?s=20
Reading Club 09 Review: Part 2: Robotics & World Model Reading Club 9.2: Tactile Sensor & Reliable Manipulation in Production. https://x.com/junfanzhu98/status/2058461947637694948?s=20
#reading-club-08-0516: Embodied Human Data as the “Internet of Motion and Behavior”
Ryan Punamiya (NVIDIA Gear, Georgia Tech)
Session 08 Luma: https://luma.com/qoxioge7
Reading Club 08 Review: https://x.com/junfanzhu98/status/2055913563743830229?s=20
Reading Club 08 Recap: https://x.com/junfanzhu98/status/2055915875493204439?s=20
#reading-club-07-0509: Learning to Dream: World Models, Imagination, Path to Foundation Models for Control
Ahmet Şemi ASARKAYA (Agility Robotics)
Session 07 Luma: https://luma.com/srhe0vuo
Reading Club 07 Review: https://x.com/junfanzhu98/status/2053387034241454397?s=20
#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
Daniel Dugas & Sergio Arnaud (Meta FAIR)
Session 05 Luma: https://luma.com/p7zvpyvg
Reading Club 05 Review: https://x.com/junfanzhu98/status/2048315020946317710?s=20
YouTube Recording: Watch on YouTube
#reading-club-04-0418: Abstractions of the Physical World for Decision-Making
Siming He (UC Berkeley)
Session 04 Luma: https://luma.com/atv7bm3i
Reading Club 04 Review: https://x.com/junfanzhu98/status/2045770010979905862
YouTube Recording: saturdayrobotic
#reading-club-03-0411: Robotic Policy Adaptation
Haoyi Niu (UC Berkeley)
Session 03 Luma: https://luma.com/561xgirg
Reading Club 03 Review: https://x.com/junfanzhu98/status/2043243484568768519?s=20
YouTube Recording: saturdayrobotic
#reading-club-02-0404: JEPA Zoo
Julian Saks (JulianSaks)
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
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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