Covariant @CovariantAI
Empowering robots to see, think, and act. covariant.ai Berkeley, CA Joined November 2018-
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Much of the groundbreaking advancements we've witnessed over the past decade, spanning from computer vision, speech recognition, protein folding prediction, and beyond, hinge on the deep learning work conducted by @geoffreyhinton, who has fundamentally changed the focus and…
Our newest update demonstrates the Scaling Law in action, with RFM-1 now generating images at 400% higher resolution than previously. This higher resolution leads to more accurate AI predictions and fewer hallucinations. Check out RFM-1's enhanced ability to predict how a scene…
the more data the better it works
Leveraging collective knowledge from every Covariant Brain-powered robot, fulfillment centers all over the world are gaining an edge with Covariant AI Robotics.
What data is necessary for general robotic intelligence? @peterxichen's perspective from his panel at @NVIDIAGTC: covariant.ai/insights/found…
Robotics is about more than just lines of code! 💾 It's about the real, physical machines that can navigate our world. It’s the real, physical objects that robot needs to deal with, in real environments, often shared with humans. @CovariantAI recently released RFM-1. ROBOTICS…
"There’s a well-known observation among roboticists: What is hard for humans is easy for machines, and what is easy for humans is hard for machines." - @Melissahei, @techreview This dynamic is changing: technologyreview.com/2024/04/11/109…
In a landmark year for robotics, we're forging new approaches to how robots engage and operate in the real world. Explore our open positions and join us in shaping the future of robotics: covariant.ai/careers
Large language models are trained to predict the next token in text. For robotics, this means training models on physical interaction datasets to build generalized AI that can simulate the physical world. We've built RFM-1, the first commercial Robotics Foundation Model. RFM-1…
Where innovation meets efficiency. Dive into The Robots: covariant.ai/insights/the-r…
A multimodal any-to-any sequence model, RFM-1 is an 8B parameter transformer trained on text, images, videos, robot actions, numerical and sensor data. RFM-1 tokenizes all modalities into a common space and performs autoregressive next-token prediction with a broad range of…
resonates with my own experience: robot demo --> INSANE PAIN --> robot creating value in production luckily I am hopeful we have by now paid most of our dues at Covariant :)
resonates with my own experience: robot demo --> INSANE PAIN --> robot creating value in production luckily I am hopeful we have by now paid most of our dues at Covariant :)
Dive in to RFM-1's latest scaling update: In-context learning. covariant.ai/insights/rfm-1…
Building a truly general AI for robotics must be done in the real world. To make this happen, our focus lies in addressing critical issues and delivering true value to our customers. During the recent #NvidiaGTC2024, @peterxichen highlighted how generative AI is reshaping the…
A robot is a tool -- hopefully a very powerful one -- and every job needs the right tool
A robot is a tool -- hopefully a very powerful one -- and every job needs the right tool
“We believe there will be a huge breadth of robotic form factors. Different types of hardware for different use cases— this all depends on frequency, speed, cost of installation, etc." - @peterxichen at @NVIDIAGTC
"I just realized I am the only person on the stage that is not a CTO" - @peterxichen, Covariant CEO at @NVIDIAGTC
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It was great to show @geoffreyhinton foundation models meeting robotics at Covariant HQ!
Much of the groundbreaking advancements we've witnessed over the past decade, spanning from computer vision, speech recognition, protein folding prediction, and beyond, hinge on the deep learning work conducted by @geoffreyhinton, who has fundamentally changed the focus and…
Radical is proud of our relationship with the independent thinkers who pioneered modern AI. youtube.com/watch?v=E14IsF…
Bit of an effort to get a selfie with a squirrel. Just imagine filming with them. Was out with @faunabio in Emeryville California, finding out what humans can learn from 🐿️ hibernation.
Catch TechCrunch Hardware Editor @bheater moderate a humanoid robotics panel at @AutomateShow on May 8th at 12pm👇
I'll be moderating a humanoid robotics panel at @AutomateShow in a few weeks, featuring @BostonDynamics, @agilityrobotics, @Apptronik and @NEURARobotics. It's gonna be a good one.
@CovariantAI I saw it live - very impressive! One of the coolest systems in robotics! 🦾
This is a good illustration of why this is harder than it looks. These are really challenging objects to grasp reliably.
Our newest update demonstrates the Scaling Law in action, with RFM-1 now generating images at 400% higher resolution than previously. This higher resolution leads to more accurate AI predictions and fewer hallucinations. Check out RFM-1's enhanced ability to predict how a scene…
@pabbeel over trends in artificial intelligence
Geschiedenis van #ai : term in 1956, tot 2012 was er niet dat werkte. In 2012 was er alexnet en #DeepLearning . Hoe meer data, hoe beter het werkt @pabbeel
This is a thing of beauty
Leveraging collective knowledge from every Covariant Brain-powered robot, fulfillment centers all over the world are gaining an edge with Covariant AI Robotics.
Fascinating how different this setup is from the usual one in research - high reliability requirement - low pose generalization, but wide variety of objects - high throughput and predictability needed - assuming the laser is scanning packages not actually part of any perception…
Leveraging collective knowledge from every Covariant Brain-powered robot, fulfillment centers all over the world are gaining an edge with Covariant AI Robotics.
The latest from @CovariantAI, the RFM-1 model, marks a significant breakthrough as a Robotics Foundation Model. It has been trained on a distinctive mix of internet-based data and actual robotic engagements, setting it apart for its capacity to comprehend and engage.
RFM-1's latest scaling update enables robots with in-context learning of grasping improvements. The video shows the self-reflective reasoning capability — after a few tries and failing, the robot has an internal dialogue, hypothesizing that its current gripper is not suited for…
why does the reinforcement learning with Digit in the simulation looks to me like our society with new Apple vision pro? @agilityrobotics, is it just me?! ~~~ ♻️ RT to help 1 robot find a new workplace. 🔔 Don't click any bell to be notified. I want you to sleep well.
💯👏🏽
What data is necessary for general robotic intelligence? @peterxichen's perspective from his panel at @NVIDIAGTC: covariant.ai/insights/found…
💯
What data is necessary for general robotic intelligence? @peterxichen's perspective from his panel at @NVIDIAGTC: covariant.ai/insights/found…
Generatively predicting robots’ actions and outcomes in the form of images and videos should enable a generalized understanding of robotics. @peterxichen at GTC:
Quick personal update-- Excited to share that I’ll be joining @Berkeley_EECS to start a PhD this autumn. Looking forward to start working w/ @JitendraMalikCV & @pabbeel! 🤖
Congratulations to our founder and CEO Jensen Huang for his recognition on the #TIME100 Most Influential People of 2024. Read the @TIME tribute by Mark Zuckerberg. time.com/6964235/jensen…
Robotics is about more than just lines of code! 💾 It's about the real, physical machines that can navigate our world. It’s the real, physical objects that robot needs to deal with, in real environments, often shared with humans. @CovariantAI recently released RFM-1. ROBOTICS…
🚨 JUST IN: Boston Dynamics just revealed its new generation of Atlas robot. This is absolutely incredible.
Boston Dynamics reveals its new, improved all-electric Atlas robot, and @bheater has all the details right here: tcrn.ch/3vKUeeN
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