Kate Thompson
@GreenKateTech
Turning sci-fi into reality 🤖 | Green engineer 🌱 | Tech enthusiast 🛠️
A world-first in robotics: XCath’s EVR system treats brain aneurysms with unmatched precision and remote capabilities. bit.ly/4oL4zNS
San Francisco-based startup @glaciertechinc is making robotic inroads to improve recycling processes: asme.org/topics-resourc…
Now anyone can get a pre-assembled RUKA hand! 🎉 (It’s even cheaper than manufacturing it here😄) It also comes with an off-the-shelf controller, so no MANUS glove is required. Give it a try!
When @anyazorin and @irmakkguzey open-sourced the RUKA Hand (a low-cost robotic hand) earlier this year, people kept asking us how to get one. Open hardware isn’t as easy to share as code. So we’re releasing an off-the-shelf RUKA, in collaboration with @WowRobo and @zhazhali01.
new Waymo PM interview question just dropped, write a PRD and business case for the Waymo Hotel
Waymo Hotel: for about $200, you can get a clean, safe place to sleep. Drive 3 hours down the peninsula and 3 hours back. It comes directly to you at a moment’s notice.
Excited to release a full @RoboPapers episode on our research direction, specifically relating to world models and robotics, with @chris_j_paxton and @micoolcho in the next few days, with a deep dive on DiamondWM, from our co-founders @AdamJelley2 @EloiAlonso1 and…
Full episode dropping soon! Geeking out with @PimDeWitte @AdamJelley2 , cofounders of @gen_intuition leveraging large-scale game recordings to build agents with deep spatial/temporal reasonings. Built upon the work by Adam, @EloiAlonso1 @micheli_vincent (all cofounders at…
Learn about "spatial intelligence" from the world’s best! Explore the evolution of AI from symbolic reasoning to LLMs. And learn why the next transformative leap lies in spatial intelligence, enabling machines to perceive, model, and act within the physical world.
AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on…
Out with fiberglass, in with flax. German engineers are designing wind turbine blades made entirely from natural materials. bit.ly/47C0rcU
I’ve been using papiers for the past few weeks, it’s super great! im a huge fan of @cognition deepwiki and I hope this becomes the standard for papers
I built papiers.ai, a new interface for arXiv As we enter an era of accelerated scientific discovery, we need better tools that augment human cognition to help us keep up. Try it: visit papiers ai or swap arxiv -> papiers on any paper URL
The system is integrated with unique mission planning and sonar data analysis software. bit.ly/4othUdr
Inside the Future of IoT: Matter 1.4.2, Smart Buildings & CSA’s Global Vision youtube.com/watch?v=cof2dp… #IoTPredictions #IoT #Predictions
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Inside the Future of IoT: Matter 1.4.2, Smart Buildings & CSA’s...
Today is National STEM Day, a reminder of where innovation truly begins. The next generation of engineers, roboticists, and problem solvers are already asking questions, taking things apart, and imagining how technology can make life better. That excitement for science,…
#LAM_Highlight: [News & Views] Femtosecond laser processing boosts solar thermoelectric generator. @HIT_China #HarbinKYSemiconductor Keywords: #Solar_Thermoelectric_Generators, #Femtosecond_Laser, #Thermal_Management_Strategy Link: light-am.com/article/doi/10….
![LightSciAppl's tweet image. #LAM_Highlight: [News & Views] Femtosecond laser processing boosts solar thermoelectric generator. @HIT_China #HarbinKYSemiconductor
Keywords: #Solar_Thermoelectric_Generators, #Femtosecond_Laser, #Thermal_Management_Strategy
Link: light-am.com/article/doi/10….](https://pbs.twimg.com/media/G5IkCm4b0AAw-Qc.jpg)
This is an obvious capability upgrade We expect a good whole body controller and teloperation to be table stakes for any humanoid robot in the market especially as a development platform The @UnitreeRobotics demo is very good looking for static tasks (that mock kitchen must be…
Embodied Avatar: Full-body Teleoperation Platform🥳 Everyone has fantasized about having an embodied avatar! Full-body teleoperation and full-body data acquisition platform is waiting for you to try it out!
New Launch | AgileX RANGER DELTA(3-Wheel) & RANGER AIR(4-Wheel) : High-Mobility Chassis for Indoor-Outdoor Hybrid Scenarios🤖 ✔️Humanoid robots ✔️Intelligent collaboration ✔️Research & education #AgileXRobotics #Rangerdelta #Rangerair
Fluid Wire Robotics' specialized robot systems will assist the French firm NAAREA with extreme-environment tasks. bit.ly/4orCcnC
Open call for ideas! Curious what's in the data? Drop a phrase like “making jack-o-lanterns,” “picking up kids’ toys,” or “untangling necklaces,” and we’ll see if it’s there 👀 (This search only covers <1% of the data — there’s already 100× more behind the scenes!)
To scale GEN-0 capabilities, we are constructing the largest and most diverse real-world manipulation dataset ever built 🌍 including every manipulation task humans can think of – from peeling potatoes, to threading bolts – spanning homes, bakeries, warehouses, factories, & more
> scaling UMI data to O(100k) hours with 10k hours of data added per week. > harmonic reasoning model that think & act jointly. > emerging behavior as model sizes scale. Very interesting work. More details please!
Introducing GEN-0, our latest 10B+ foundation model for robots ⏱️ built on Harmonic Reasoning, new architecture that can think & act seamlessly 📈 strong scaling laws: more pretraining & model size = better 🌍 unprecedented corpus of 270,000+ hrs of dexterous data Read more 👇
Classic scaling law curves from @GeneralistAI: more data, lower validation loss — standard ML story. But if we swap the y-axis to real-world success rate, do the same trends hold? Does 0.0105 vs 0.0115 loss actually mean a more reliable policy?
GEN-0 models exhibit strong scaling laws, in which more pretraining data and compute consistently (and predictably) improve downstream post-training performance of the model across many tasks. 🔬📈🧠
The best write up on the state of AI in a while, from James Somers, with input from my Princeton colleagues Ken Norman, @HassonLab, Jon Cohen, and many others. Coding with LLMs was a striking moment for me too newyorker.com/magazine/2025/…
Space factories could be the next frontier as China races US firms to kickstart in-orbit manufacturing and "save" the planet. bit.ly/3Xb2zlL
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