This past Tuesday, we opened the doors to our new office to host a Smart Fleet Meet & Greet as a part of #SFTechWeek.
Thank you to all our attendees for your exciting energy, curiosity, and appreciation for what we’ve been working on. We can’t wait to show you more of what’s to come soon.
Take a walk through South Park, San Francisco, through the eyes of our robot. We mapped one of SF’s oldest parks in full-color 3D, one step at a time, giving our robots a detailed understanding of the world around them.
The same mapping powers every OpenMind deployment, ensuring reliability in the real world.
Chinese vendors made up nearly all humanoid shipments in the first half of 2026.
@BrookeDiPalma from @YahooFinance had OpenMind founder and CEO Jan Liphardt on to discuss this topic in a live segment earlier this week.
@JanLiphardt says there’s “no question” China dominates the supply chain for advanced physical AI, and breaks down how the US can catch up in the global robotics race in the next 2 years.
Read the post here: finance.yahoo.com/video/does… – at San Francisco, CA
Join us next Tuesday for a Smart Fleet Meet & Greet during SF Tech Week @Techweek_!
OpenMind and the Bay Area Robotics Association are teaming up on Tuesday, Oct 6, 5–8 PM, with talks from @JanLiphardt (CEO, OpenMind) and Terence Bennett (Executive Director, Bay Area Robotics Association).
See the future of agentic robotics powered by OM1, strike a pose at our photo booth, and find out if you're smarter than a robot!
RSVP below via Partiful.
Partiful: partiful.com/e/MXdZ2h4NRXDoF…
Replying to @bheater
@bheater on @a3automate Automated Podcast recently had OpenMind CEO @janliphardt highlight the roadmap to making robots useful, and why OpenMind is building the crucial social intelligence layer for successful robot deployments.
It's official! OpenMind is hosting a Smart Fleet Meet & Greet with Bay Area Robotics Association on October 6th 5PM - 8PM during SF Tech Week @Techweek_
Come meet industry leaders in physical AI and our smart fleet powered by OM1.
RSVP below via Partiful.
Partiful: partiful.com/e/MXdZ2h4NRXDoF…
Phase Action Space for cross-embodiment Representation (PHASOR for short) introduces a universal action representation that maps different humanoid embodiments in a shared motion space, making robot behavior more transferable, interpretable, and scalable across platforms.
At OpenMind, our deployments involve mixed fleets that operate on one brain. PHASOR helps our team run shared interpretable actions that are transferable across devices without a need for additional re-training.
PHASOR is a collaboration with @AIMSafety_, @LGE_Global, Seoul National University and MAUM AI.
Read the research here: openmind.com/resources/phaso…
Replying to @Business_AI
@Business_AI reported on how our Physical AI Readiness Index (PAIRI) data suggests that China’s large gap is attributable to its massive manufacturing capacity.
The United States scores 5th overall, sitting at just under half of China’s capabilities. That being said, the US still takes the lead on compute and human capital by large margins over its competitors.
According to the results of the study, narrowing the Physical AI readiness gap will require less emphasis on model development and instead significantly more investment in the industrial density needed to scale physical AI domestically.
Read the article here: aibusiness.com/robotics/chin…
Replying to @Forbes
@forbes interviewed OpenMind's CEO @JanLiphardt about the team's recent research report on Physical AI Readiness Index (PAIRI) to gain a clearer understanding of the global willingness & ability to deploy physical AI at scale.
With the FCC's recent ban on foreign robotics hardware imports, we evaluated data from 58 countries and 22 metro clusters on their capacity to build, supply, and power embodied AI systems.
Surprisingly, the data found that the observable gaps in readiness stemmed more so from manufacturing & supply capacity over AI research ability.
Link to Forbes Article: forbes.com/sites/johnkoetsie…
Read more about our findings from the research paper on the thread 🧵below:
OpenMind joined our partner TRMI in celebrating 40 years of innovation and brought along one of our humanoid robots for the occasion.
Congratulations to the entire TRMI team on this incredible milestone. We’re proud to celebrate with you and excited for what’s ahead.
One runs on kibble, the other runs on code.
📸: @KraneShares
Robots should not care about your lighting.
Our paper on Domain-Invariant Latent Lookahead (DILL) was selected for a presentation at RSS 2026. VLA policies quietly learn visual shortcuts: change the camera angle, the background, or the light, and they execute the wrong task.
DILL teaches the policy to predict a domain-invariant future, not the pixels.
This is the work behind the promise: OpenMind builds robot experiences that stay reliable in the real world, where the lights, the layout, and the cameras never match the lab.
Huge thanks to our partners at @SeoulNatlUni, @Hyundai, Ajou University, and Tommoro Robotics.
Stay tuned for more from OpenMind Research.
What would you do if you could borrow a robot body for a while?
Instabody lets you drive a real humanoid robot and see the world through its eyes. We built it because the best way to learn what robots should do is to hand people the controls.
Waitlist is open at instabody.ai
OpenMind is building a Social World Model.
Should a robot run the dishwasher while a baby sleeps? Should it interrupt your meeting to offer coffee? What does it do with the knife in its hand?
Check out below why getting these calls right is what separates a safe, reliable robot from a liability, and why traditional foundation models weren't built to make them.
Introducing BotPop.com, OpenMind's storefront for general-purpose robots.
Whether you’re exploring automation for work, research, or everyday use, BotPop makes it easier to find the right robot for the job.
Need help deciding which robot form factor works best for your environment or use case? Reach out to support@botpop.com for a consultation.
We drove our robots from San Francisco to New York City.
Along the way we presented at Automate in Chicago, the biggest robotics convention in North America, took a ferry so our robot could see the Statue of Liberty, and wrapped up the trip with NYC’s first robot pop-up shop in SoHo.
Thousands of people visited. Most had never met a robot before, and now they have.
Thanks to @KraneShares and our partners: @nvidia, @Visa, @AGIBOT_US, @UnitreeRobotics, @boosterobotics, @LimX_Dynamics, @GalaxeaDynamics, @intbotai, and @ARCL_Katena.
A robot took the Staten Island Ferry and saw the Statue of Liberty.
We're training robots to navigate real environments. Soon, walking alongside them will seem like a normal occurence.



















