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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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…
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.
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.
Travis Armstrong retweeted
Huge news - we've joined forces with @GoogleDeepMind's robotics team!🧠🦾 We’ll combine best-in-class #AI with cutting-edge robotics hardware to create advanced AI-powered humanoid robots. Get ready for a new era of helpful robots in dynamic environments.
apptronik.com/news-collectio…
#apptronik #humanoid #humanoidrobot #robotics
Travis Armstrong retweeted
Meet our AI-powered robot that’s ready to play table tennis. 🤖🏓
It’s the first agent to achieve amateur human level performance in this sport. Here’s how it works. 🧵
Travis Armstrong retweeted
Work from our @GoogleAI team - training robots to play table tennis to better understand how they learn in dynamic + high-speed settings. One project achieved a 300+ hit rally, while another is focused on matching the precision of amateur human players 🏓
ai.googleblog.com/2022/10/ta…
Travis Armstrong retweeted
Imagic: Text-Based Real Image Editing with Diffusion Models
abs: arxiv.org/abs/2210.09276
Travis Armstrong retweeted
“In order to deal with the diversity of the real world, robots need to be able to adapt and learn from their experiences. It’s up to the robot to understand all the little subtleties and intricacies of language.” wired.trib.al/fFR793u
Travis Armstrong retweeted
Tasks that seem simple to humans — like cleaning up a spilled drink — are actually incredibly complex for helper robots. That’s why Google Research and Everyday Robots are using language models to improve robot learning. youtube.com/watch?v=E2g1APtS…
Travis Armstrong retweeted
While most #ML robotics research occurs in a fixed lab environment, as the field advances into complex and challenging real-world scenarios, using A/B testing to compare results of different models and lab settings is increasingly important. Learn more → goo.gle/3gsbZn5
Travis Armstrong retweeted
You can’t use reason to convince anyone out of an argument that they didn’t use reason to get into.
Travis Armstrong retweeted
John Dulchinos of @Jabil sharing some great #manufacturing mega trends @Robotics_Summit #RoboticsSummit2018 #robots
Travis Armstrong retweeted
We had an amazing time exploring the @Jabil @BlueSky_Center and @radiusinnovates with @jowyang and @JessGroopman of @kaleidoinsights - yes Jeremiah there are 10,000 resistors in that tube!
