Head of Robot Operations at Rhoda AI. Former Google DeepMind, Google X, Jabil. Harvest Automation, Adept Technology
San Jose, CA
Joined April 2010
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Humans don't rely solely on vision, why should robots? Enabling our robots to learn and use touch unlocks even more opportunities.
Humans don't rely solely on vision, why should robots? Enabling our robots to learn and use touch unlocks even more opportunities. Really exciting!
Travis Armstrong retweeted
More industries. More real customer work.
Introducing RhodaAtWork, a series on the customer workflows our robots are learning to handle across manufacturing and logistics.
First up: unpacking, scanning and stacking component reels for electronics manufacturing.
Travis Armstrong retweeted
Internet video is diverse, passively collected, and virtually inexhaustible.
Previously, we showed that pre-training purely on web video can enable robots to solve complex real-world tasks.
Now, we show how that approach scales: with both model size and training duration.
rhoda.ai/research/scaling-we…
Sometimes skill in games unlocks skills in the factory. Having a visual memory and object permanence is important for completing tasks when your view of the workpiece is obscured.
Travis Armstrong retweeted
1/ We are speed running industrial robotics.
It took us just 19 days from the first day of data collection to filming a 2.5-hour continuous run of our model autonomously breaking down industrial containers — zero human intervention.
The data efficiency of our DVA model is fundamentally changing how fast we bring robots out of the lab and into the factory.
Autonomous operation with 3 hours of data collection at a customer factory.
Travis Armstrong retweeted
Observe. Predict. Act. Repeat. In closed loop. We call this the Direct Video-Action (DVA) model, and it’s why Rhoda can operate beyond lab conditions in real production environments.
After operating in stealth for the last 18 months @rhodaai , we’re excited today to finally show the world what we’ve been working on. We believe we’re on a path to physical AGI with the launch of our brand new foundation model, the Direct Video Action (DVA) model.
Seeing AI robotics move out of the lab and actually handle those edge cases autonomously is a massive step forward for the automation world!
Travis Armstrong retweeted
The gap between robotics in the lab and robotics in the real world has been one of the hardest unsolved problems in the industry. We’re excited to come out of stealth and show the research community how we’re tackling the issue.
Bloomberg article in comment.
Robots shouldn't just work in a lab, they need to work in the real world. I've deployed them in factories, warehouses, and farms! Excited to be part of the Rhoda AI team as we announce today, bridging the gap between research and the real world.
Too many robots end up in the “Automation Graveyard” but with AI we can build intelligent automation that lasts.
#Automation
#EmbodiedAI #Robotics
Humanoids in the home make for viral demos, but factories are the real proving ground. The path to a humanoid in your house starts on the industrial floor, where environments are engineered for success and the ROI is proven. #robotics #automation #AI
The real business case for robotics: cheaper, faster, better. The rest is just a demo.
#Robotics #AI #Innovation #Automation #Tech #Operations
Great tour of the @GoogleDeepMind robotics lab! 🤖🦾
Proud to have led the team that built the ALOHA workcells and scaled up data collection efforts for the first Gemini Robotics models. Excited to see the fleet in action! 🚀#Robotics #AI youtu.be/UALxgn1MnZo
@TripIt You guys need an AI Image generator that I can use to create trip images. It would also be nice to save a library of images I've used in the past so when I go to an annual event I can re-use the image, rather than uploading it again.