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Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.
It was fun partnering with Palmer Luckey and Ashlee Vance on this. Hands down the highlight of the day! Kudos to the Foundation team for making it happen!
Excited to share that Foundation achieved 87% OEE (overall equipment effectiveness), the key metric for manufacturing efficiency, at our first deployment! We're close to running full shifts.
These are the wheeled robots we shipped for commercial use. No more wheeled units are being built; we are only building legged robots and will decommission these wheeled units by year-end.
Like LLMs, autoregressive transformers for action tokens need a reasoning layer to reduce hallucinations and boost reliability. Grounding this layer in the physics of the action space using DVBFs makes for scalable, task-agnostic training—far simpler than creating RL reward functions for each task. Learn more about our novel approach in the video below 👇🏼
Our proprietary actuators are one of the features that make Phantom special. They enable us to build robots that are smooth, powerful, and safe to be around. Learn more about our design in this video.
Meet some of the brilliant minds behind Foundation. We’ve assembled the highest density of talent — and more importantly, a team of curious thinkers and builders obsessed with solving hard problems.
A robot that understands physics and human intent? Foundation Robotics built one; capable of learning tasks in just hours, not weeks.
Most robots today just copy movements without understanding how objects interact.
Foundation’s new approach teaches robots real-world physics, making them smarter, more adaptable, and able to learn with far less data.
Why this matters:
✅ Learns how objects move and interact instead of just mimicking actions
✅ Trained in just a few hours but outperforms imitation and reinforcement learning models
✅ Built for real-world automation in manufacturing, logistics, and defense
✅ Moves AI from the cloud into the physical world by teaching it real-world physics
Foundation Robotics is proving that AI needs to learn physics to be truly useful.
Their next demo will show their humanoid Phantom autonomously doing real work!
Thanks for having me Ilir! Enjoyed the conversation. For anyone who wants to know what Foundation is upto and why I am the way I am (😂) this podcast is a good resource.
🎙️ In this episode, I talk with Sankaet Pathak, founder of Foundation. Their first product?
A humanoid robot built for real-world tasks:
Foundation is an advanced technology company developing autonomous machines.
Why start with humanoids?
To automate labour across manufacturing, logistics, and defence.
Sankaet shares his journey from computer engineering and physics at the University of Memphis to leading AI and robotics innovation.
We discuss why current AI models struggle with real-world physics, why Foundation is taking a different approach to autonomy, and what it will take to bring humanoid robots from labs to everyday work.
This episode is packed with bold ideas and hard tech insights;
hope you enjoy it!
Ep 54 - Building Deep Tech
“Work hard, make it fail less and get better.”
with Sankaet Pathak, founder of Foundation.
🎙️ On Spotify: https://lnkd.in/d_e3UuBq
🎙️ On Apple Podcast: https://lnkd.in/d3EGj4MZ
🎬 On YouTube: https://lnkd.in/deQMqd8P