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Post-CoRL 2026: What's Next For Robot Learning?
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| With Yuxin Chen (Ph.D. Candidate, UC Berkeley), Anuva Banwasi (Researcher, Stanford University's IPRL Lab), James Xu (Postdoc, Stanford's Biomimetics and Dexterous Manipulation Lab), Jonas Frey (Postdoc, Stanford ASL), Ziqi Pang (Member of Technical Staff, Amazon FAR), Chaoqi Liu (Researcher, 1X). |
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Nov 13 (Fri) @ 06:00 PM
FREE
| | Robotics Center of Silicon Valley, 90 Welsh St,, SF
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| Register |
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CoRL 2026 wraps in Austin on Nov 12. Less than 24 hours later, the conversation lands in San Francisco.
We're bringing CoRL 2026 paper authors back from Austin & putting them on one stage with the VCs who back robot learning. The people writing the papers & the people deciding which ones become companies, in the same room, the night after the conference ends.
Missed Austin? This is the fastest way to catch up on what mattered. Were you there? Come argue about it.
On stage Panel 1: fresh from Austin
Yuxin Chen, UC Berkeley. Getting humanoids through cluttered real-world spaces with a single whole-body VLA. Co-author of a CoRL Spotlight on humanoid navigation, & first author of CLIFT, which turns Gemini Robotics On-Device into humanoid specialists
Anuva Banwasi, Stanford Interactive Perception & Robot Learning Lab. Robots that get better by remembering what they've done. First author of MessyMem, learning-from-doing memory for mobile manipulation
James (Jingxi) Xu, postdoc at Stanford's Biomimetics & Dexterous Manipulation Lab. Wear it to teach it. Co-author of Universal Manipulation Exoskeleton, which teaches robots compliant whole-body skills with real-time torque feedback
Jonas Frey, postdoc at Stanford ASL & UC Berkeley BAIR. Navigation that holds up in the real world. Co-author of GLST, long-horizon memory for chained navigation goals, & EgoHTR, egocentric 4D data of humans crossing rough terrain
Panel 2: inside the frontier labs
Researchers from the labs building robot foundation models & world models, on where generalist robots are really headed
Ziqi Pang, Member of Technical Staff at Amazon FAR (Frontier AI & Robotics), building robotics models
Chaoqi Liu, researcher on the World Model team at 1X. How world models are shaping the next generation of humanoid robots
More frontier lab speakers dropping this week
Plus VCs investing in robotics & physical AI in the room. Spots are limited & we review every application, so register early
What we'll get into
The papers everyone was talking about in the hallways, & which ones will still matter outside the lab
World models as policies: a real shift, or this year's buzzword?
Generalist robot policies meet real-world RL
What VCs want to see before a research project becomes a company, & where they're placing bets next
Who's in the room
Robotics researchers, founders, engineers & investors from across the Bay Area. If you're building, funding or deploying robots, this is your crowd. Come early, stay late, & meet the people you've been citing.
Schedule
6:00 PM Doors open & networking
6:30 PM Panel 1: CoRL 2026 authors, fresh from Austin
7:00 PM Panel 2: inside the frontier labs
7:45 PM Audience Q&A, then networking, drinks & bites
9:00 PM Wrap
Good to know
Registration requires approval. Spots are limited & we review every application
Venue: Robotics Center of Silicon Valley, 90 Welsh St in SoMa, a working robot lab with arms, hands & humanoids on the floor
About Embodied Collective
A community for people building the future of physical AI in San Francisco. We host panels, dinners & demos, & send The Physical AI Brief every week.
Follow us
LinkedIn:
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embodied-collective
X: @EmbodiedCoX
Luma (all events & the weekly brief): luma.com/embodiedcollective
Website: embodiedcollective.org
About Robotics Center
Robotics Center of Silicon Valley is the hardware, data & evaluation partner for teams building physical AI. From our lab at 90 Welsh St in San Francisco, we supply & integrate robot arms, dexterous hands, humanoids, quadrupeds & egocentric capture rigs from leading manufacturers, run teleoperation data collection, & benchmark frontier robot models on real hardware through our open-source XEbench & independent model evaluations. Hundreds of labs, startups & enterprise teams, from Apple & Meta to YC founders & university groups, come to us to get robots running, collect data & find out what their models can actually do in the physical world. Robotics Center is a Y Combinator S25 company backed by NVIDIA Inception.
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