Ed Mehr on Transforming Manufacturing at Machina Labs

The Robot Report Podcast · 13 Mar 2026 · 1h 03m

AI in practice: 2 real uses of AI described

What this episode covers

Ed Mehr, co-founder and CEO of Machina Labs, explains the company's 'software-defined factory' concept, which uses robotic workcells called RoboCraftsman to perform sheet metal forming, trimming, and welding. He details how this flexible manufacturing model allows for instant product line switching, citing strategic partnerships with Toyota for customized automotive production and defense clients for missile airframes. The episode covers the transition from low-volume prototyping to scaling production in large facilities, emphasizing the integration of AI and sensor data to replicate human craftsmanship.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Quality & testIntegrated robotic scanning and QC softwaredigital twin and data package for every single part

Robots scan parts after manufacturing to generate a QC report and digital twin for every single part, which is fed back into the 'Architect' software to improve future production recipes, creating a closed-loop quality control system.

“Once the part is done. The robot itself scans it and knows what it did, so it creates a QC report, but that QC report can be taken back to that architect software … and now make modifications to maybe improve the part … Here's another set of instructions you can run on your next batch to make these parts slightly better.”

Ed Mehr · Hear it at 34:42

Engineering & simulationRoboCraftsman robotic platform with 152-channel sensors152 channels of sensor data every 4 milliseconds

The system uses high-frequency sensor feedback (152 channels every 4ms) to monitor material response during deformation, allowing the AI to dynamically adjust robot movements in real-time rather than following static G-code, enabling adaptive sheet forming.

“Then the robo craftsman starts into operation and and it works with our online software that every 4 millisecond looks at what happened. How did the robots do, how did the material react to it? And based on the sensor inputs, they have 152 channels, the sensor data that comes every 4 millisecond. It makes modifications to those instructions…”

Ed Mehr · Hear it at 34:42

Mentioned

Companies
Machina Labs, Toyota, SpaceX, Boston Dynamics, Agility Robotics, Open AI, Anthropic, Universal Robots, Elite Robots, Teradyne Robotics, Unitree, Legum, Samsung, LG Electronics, Dusan
Products
RoboCraftsman, Waymo, Zooks, MoMed, Atlas

Other shows on the same ground, closest first.

  • Robot Talk · 31m

    Episode 160: Robotic blacksmiths - Edward Mehr

    Edward Mehr, Co-Founder and CEO of Machina Labs, explains how their RoboCraftsman system uses AI-driven robotics to perform flexible, on-demand metal forming for aerospace, defense, and automotive industries. He details the transition from traditional, rigid factories to portable, software-defined 'data center' style manufacturing that eliminates economies of scale constraints. Mehr discusses the technical challenges of sheet metal springback and how the company bridges the simulation-to-reality gap by combining physics-based models with real-world data capture. He also highlights their work with NASA and the Air Force to rapidly repair legacy systems, and a partnership with Toyota to enable mass-customized vehicle bodies.

  • The Next Byte Podcast · 1h 13m

    150. Ed Mehr & Machina’s Robot Army Transform Manufacturing (Interview)

    Ed Mehr, CEO and founder of Machina Labs, explains how his background in software and hands-on sheet metal shaping led to the creation of a robotic system that forms metal with AI-driven precision. He details the limitations of traditional die-based manufacturing and additive manufacturing, positioning Machina’s technology as a flexible, agile alternative for low-to-medium volume production. The conversation covers the technical 'secret sauce' of using empirical data and neural networks to predict springback, enabling millimeter-accurate forming of difficult alloys like titanium without expensive tooling.

  • The Next Byte Podcast · 27m

    118. Sheet Metal Forming Goes High-Tech with Robotics & AI

    Hosts Daniel and Forbode discuss Machina, a startup using robotics and AI to revolutionize sheet metal forming. They explain how Machina's 'roboforming' process eliminates the need for expensive, custom dies by using two 7-axis robotic arms to bend metal with submillimeter precision. The episode highlights the technology's ability to bridge the gap between manual craftsmanship and high-volume stamping, offering rapid prototyping and low-to-medium volume production for industries like automotive and aerospace.

  • EMS@C-LEVEL · 5m

    Electronica 24: The Rise of AI-Powered Robotics at Fideltronik and Beyond

    Piotr Owczarek, President of Fideltronik, discusses the company's seven-year journey to develop AI-driven robotics for electronic manufacturing services (EMS). He explains how a team of 170 engineers in Krakow is creating flexible automation that mimics human operators to address labor shortages and cost pressures. Owczarek details their 'academy for robots' concept, where collective knowledge is stored in the cloud to allow robots to learn from each other without daily programming. The episode highlights that major EMS companies are currently engaged in pilot programs to validate this technology before full-scale adoption.

  • Being an Engineer · 46m

    Dylan Lundberg | Protolabs

    Dylan Lundberg, Manufacturing and R&D Engineering Manager at Protolabs, explains how the company reinvents manufacturing through automation, software, and standardized processes to deliver prototypes and low-volume production parts via 3D printing, CNC machining, and injection molding. He details the company's evolution from a garage startup by Larry Lucas into a global enterprise with nearly 3,000 employees, highlighting the strategic acquisition of Hubs to expand their service offerings. Lundberg discusses the operational challenges of maintaining speed and quality at scale, including limitations in handling super-tight tolerances or highly unique geometries, and outlines Protolabs' future focus on expanding into high-volume production capabilities.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by The Robot Report Podcast. The episode itself belongs to its publisher.