
Scaling Robotics
How to Deploy Physical AI in Production | Jeff Mahler, Co-Founder + CTO @ Ambi | Scaling Robotics Episode 14
In Episode 14, we're joined by Jeff Mahler, Co-Founder and Chief Technology Officer at Ambi Robotics, for logistics. Ambi builds AI-powered robots that sort and stack parcels as they move across logistics facilities. Jeff's team has deployed over 100 robots that have handled more than 150 million packages and 250,000+ operational hours in production, which is over 30 robot years of runtime. And they've done it with a team of just 40 people.Jeff is a skeptic of generalization in physical AI. He thinks the real hard problem is mastery; can we get a robot to do one thing fast, accurately, and reliably enough that a customer like Amazon or FedEx will actually pay for it?In this episode, we discuss what that takes to pull off. We cover the harnesses that wrap learned models into production systems, build data flywheels, and drive reliability in our robots.I loved this conversation because it's clear that Jeff has put in his 10,000 hours with production robots. I'm confident you'll learn something from this one.L- Miru Blog (including episode transcripts): https://www.mirurobotics.com/blog- Spotify: https://open.spotify.com/show/1xr38bFEhk7MSf8UvmPUBo?si=761aeb03b4464fd1&nd=1&dlsi=fa48d636a0f74df6- Apple Podcasts: https://podcasts.apple.com/us/podcast/scaling-robotics/id185772448800:00 Introduction01:40 Mastery Over Generalization06:15 Reliable Intelligence and the AI Harness14:23 Benefits of Physical AI in Production16:35 Achieving Mastery and the Data Flywheel23:16 Skill Transfer and the Ambi Skill Suite30:02 The Future of Skills and Industry Partnerships33:07 Deploying Robots in Production35:53 Building Testing Environments39:35 Modular Hardware42:04 Integrating with Other Systems45:30 Partnership with Pickle Robot47:19 What's Next for Ambi49:40 Rapid Fire






