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Edward Johns

@Ed__Johns • 6,031 subscribers

Co-Founder and CEO @Machenta_. Professor of Robot Learning at Imperial College London.

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At every robotics conference I go to, I am guaranteed that a dancing circle of assorted robots will spontaneously emerge at some point… #ICRA2023

At every robotics conference I go to, I am guaranteed that a dancing circle of assorted robots will spontaneously emerge at some point… #ICRA2023

39,318 次观看

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Today we’re out of stealth, and we’ve raised a $40m seed round co-led by Creandum and USV, to bring Instant Robot Learning to life. For the past few months, we‘ve been busy building a new company. Machenta. This follows results from a new kind of robot foundation model we’ve built, which I’m so excited to share with you today! Usually, it takes hours/days of data collection and training to teach a robot. We’ve built a model that learns tasks instantly: one demonstration, no further training. A model trained entirely in simulation, without a single pixel of real-world data. A model where teaching robots is so quick and easy, it feels like physical vibe coding. A model for robots that learn like humans do, from someone like you. Welcome to the era of Instant Robot Learning. Thank you Katharina Wilhelm, Rebecca Kaden, Hussein Kanji, Jonno Evans and all of our angels for your support! Machenta Learn more: See below for what you can do with Instant Robot Learning!

Today we’re out of stealth, and we’ve raised a $40m seed round co-led by Creandum and USV, to bring Instant Robot Learning to life. For the past few months, we‘ve been busy building a new company. Machenta. This follows results from a new kind of robot foundation model we’ve built, which I’m so excited to share with you today! Usually, it takes hours/days of data collection and training to teach a robot. We’ve built a model that learns tasks instantly: one demonstration, no further training. A model trained entirely in simulation, without a single pixel of real-world data. A model where teaching robots is so quick and easy, it feels like physical vibe coding. A model for robots that learn like humans do, from someone like you. Welcome to the era of Instant Robot Learning. Thank you Katharina Wilhelm, Rebecca Kaden, Hussein Kanji, Jonno Evans and all of our angels for your support! Machenta Learn more: See below for what you can do with Instant Robot Learning!

270,239 次观看 • 12 天前

We’ve built a one-shot, one-person factory! We taught a robot assembly line using Instant Robot Learning at Machenta. Normally, this would take weeks of system integration, but it took us two minutes to teach. See the video below 👇 Three different bimanual robots are collaborating on a packaging task. All three robots: • Have different camera setups. • Were taught using different teaching modes. But they all run the same end-to-end model. The model has never seen these objects before. It was trained 100% in simulation, and these objects were not in the simulation. I was also asked about this one-person factory at MTS. Check out our conversation below!

We’ve built a one-shot, one-person factory! We taught a robot assembly line using Instant Robot Learning at Machenta. Normally, this would take weeks of system integration, but it took us two minutes to teach. See the video below 👇 Three different bimanual robots are collaborating on a packaging task. All three robots: • Have different camera setups. • Were taught using different teaching modes. But they all run the same end-to-end model. The model has never seen these objects before. It was trained 100% in simulation, and these objects were not in the simulation. I was also asked about this one-person factory at MTS. Check out our conversation below!

20,904 次观看 • 11 天前

Instant Robot Learning at Machenta also works on SO-101 robots! Physical Vibe Coding at home. By the way, we're now hiring for somebody to come and build a thriving Machenta community with us around our model: This is going to be fun!

Instant Robot Learning at Machenta also works on SO-101 robots! Physical Vibe Coding at home. By the way, we're now hiring for somebody to come and build a thriving Machenta community with us around our model: This is going to be fun!

11,143 次观看 • 9 天前

I'm very excited to finally announce one of the most ambitious projects we've worked on — which makes the front cover of Science Robotics today: ☀️ Learning a Thousand Tasks in a Day ⭐️ Everyday tasks — like those below — can now be learned from a single demonstration each...

I'm very excited to finally announce one of the most ambitious projects we've worked on — which makes the front cover of Science Robotics today: ☀️ Learning a Thousand Tasks in a Day ⭐️ Everyday tasks — like those below — can now be learned from a single demonstration each...

110,313 次观看 • 1 年前

This is a single uncut video, showing a robot learning several tasks instantly, after just one demonstration each ... This is possible because we've now been able to achieve in-context learning for everyday robotics tasks, and I'm very excited to announce our latest paper: 🎆 Instant Policy: In-Context Imitation Learning via Graph Diffusion 🎆 (1/6) 🧵👇

This is a single uncut video, showing a robot learning several tasks instantly, after just one demonstration each ... This is possible because we've now been able to achieve in-context learning for everyday robotics tasks, and I'm very excited to announce our latest paper: 🎆 Instant Policy: In-Context Imitation Learning via Graph Diffusion 🎆 (1/6) 🧵👇

74,683 次观看 • 1 年前

I have Post-Doc, PhD, and Research Assistant positions available, for a new project working with me on dexterous robot learning! Come and join me, my team, and our robots, at Imperial College London! 🤖🧑‍💻🇬🇧💂🤖 See for more info. Please share/retweet!

I have Post-Doc, PhD, and Research Assistant positions available, for a new project working with me on dexterous robot learning! Come and join me, my team, and our robots, at Imperial College London! 🤖🧑‍💻🇬🇧💂🤖 See for more info. Please share/retweet!

25,073 次观看 • 1 年前

Very excited to announce: Keypoint Action Tokens! We found that LLMs can be repurposed as "imitation learning engines" for robots, by representing both observations & actions as 3D keypoints, and feeding into an LLM for in-context learning. See: More 👇

Very excited to announce: Keypoint Action Tokens! We found that LLMs can be repurposed as "imitation learning engines" for robots, by representing both observations & actions as 3D keypoints, and feeding into an LLM for in-context learning. See: More 👇

32,586 次观看 • 2 年前

At #ICRA2025, I'm about to present: "R+X: Retrieval and Execution from Everyday Human Videos". By using a VLM for retrieval and in-context IL for execution, robots can now learn from just videos of humans! Led by George Papagiannis and Norman Di Palo. See:

At #ICRA2025, I'm about to present: "R+X: Retrieval and Execution from Everyday Human Videos". By using a VLM for retrieval and in-context IL for execution, robots can now learn from just videos of humans! Led by George Papagiannis and Norman Di Palo. See:

11,962 次观看 • 1 年前

R+X was accepted at ICRA 2025! Robots can now do in-context imitation learning, just by observing humans going about their daily lives... No more need to *label* and *train* - just *RETRIEVE* and *EXECUTE*! 🧵👇 (1/5)

R+X was accepted at ICRA 2025! Robots can now do in-context imitation learning, just by observing humans going about their daily lives... No more need to label and train - just RETRIEVE and EXECUTE! 🧵👇 (1/5)

10,402 次观看 • 1 年前

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