In Ep 65 of Automate It, Stefan and Ilia ask a deceptively simple question: how hard can it be to put a big red stop button on a robot?

But first, they play the Robot Invention Game and draw synthetic training data for offshore wind farms, which somehow turns into humanoid maintenance robots living inside wind turbines, six-armed monkeys that plug themselves into the walls for power, and the unfortunately named “Whirly Gig.”

Then, they dig into something slightly more consequential: robot safety. Ilia introduces the Open Source Safety Consortium and Polymath’s new open-source protective stop, designed to safely stop robots anywhere from 20 feet to 3,000 miles away. They get into why traditional e-stops break down for autonomous vehicles and humanoids, why a networked safety button is much harder than it sounds, the black channel principle, and why Polymath is open-sourcing not just the hardware and software, but the certification process itself.

Plus: why robots at trade shows with no off switch are terrifying, why safety should work more like encryption and Linux, and why there really is no excuse for an unstoppable robot when the fix can cost less than $200.

If you're into robotics, open source, safety systems, offshore wind farms, or just want to know why the emergency stop button is sometimes located directly inside the robot's kill zone, this one's for you.

In Ep 64 of Automate It, Stefan and Ilia are back after seven months in the trenches closing and delivering Polymath's biggest deal yet — and oh boy do they have thoughts.

But first, they play the robot invention game, dreaming up a dystopian HOA enforcement drone that patrols your neighborhood for shutter color violations, checks your grass height with lasers, and may or may not have a paintball gun attached. You're welcome, homeowners associations everywhere.

Then, the guys catch up on everything that's changed since October: why closing a company changing deal is harder than building the robots, what Claude Code actually is and isn't good for, and why the real industrial revolution (you know, the one Henry Ford started) never made it outdoors. Plus: why fake startups with great fundraising videos keep out-raising real ones, and what it would actually take to run a lights out facility.

If you're into robotics, startup war stories, dystopian surveillance tech, or just want to know why Stefan spent 60 hours building a calendaring tool, this one's for you.

In ep 62 of Automate It, Stefan and Ilia sit down with Fred Parietti of Multiply Labs to talk about the wild intersection of robotics and biology – from personalized pills to robots making cell therapies.

They dig into why $500K cell therapies still rely on manual, error-prone lab work, how biology’s “black magic” makes automation nearly impossible, and what it takes to build robots that can work in sterile clean rooms. Along the way, Fred explains why the FDA isn’t the villain everyone assumes, why supplements crushed his soul, and how learning from video demos might finally teach robots the unteachable. It’s a journey through biotech’s artisanal chaos, startup pivots, and the strange joy of realizing your robots are better suited for cell therapy than Instagram.

If you’re into robotics, biotech, startup war stories, or just want to hear Ilia out himself as an actual cyborg, this one’s for you.

In Ep 62 of Automate It, Stefan and Ilia imagine a fleet of LLM-powered “Robot Ranger 3000” dog bots to track and protect endangered deer, complete with battery swaps, forest-wide power cables, and some very questionable AI decisions.

Then, they dig into the real challenges of enterprise robotics — from integrating with decades-old IT systems to why autonomy is the key to efficiency in mining and agriculture. They also share how fundraising doubles as a sales tactic and why trillion dollar industries still fly under Silicon Valley’s radar.

In ep 61 of Automate It, Stefan and Ilia dive headfirst into robot subversion hoodies, self-cleaning backyards, and the philosophical sinkholes of the Three Laws of Robotics. They explore why "don't hurt humans" is harder to code than it sounds, the limits of common sense in machine learning, and how old sci-fi still haunts today’s AI safety debates.

Then, things get weird. From fiber optic controlled drones in Ukraine to perimeter defense bots equipped with buzzsaws, the duo brainstorm real (and, our lawyer wants to say, inadvisable) autonomous battlefield tech.

But first, they play the robot invention game and accidentally invent a $2,000 robotic hand-on-a-stick startup.

If you're into philosophy, robotics, defense tech, and backyard wood chip problems(?), this one’s for you.

On this episode of Automate It, Stefan and Ilia dive into Aurora’s recent announcement about running driver-out trucks on public highways—an undeniably huge technical feat, but one that curiously failed to make a media splash. But first, they play the Robot Invention Game, drawing a wild scenario: applying deep learning to railroads.

This week on Automate It, we're excited to have a special guest!

Carnegie Robotics co-founder David LaRose joins the podcast to share his perspective on the evolution of robotics from academic research to rugged real-world systems.

He reflects on what’s changed - and what hasn’t - over the last 15 years, from safety systems that still rely on spreadsheets to why so many autonomous vehicle projects have stalled.

David also unpacks the real challenges of selling to the DoD, the importance of enabling the next generation of robotics companies with hardened components, and what it’s like crawling through Florida cornfields in the name of agtech R&D.

(00:00) Introduction and welcome to the episode
(00:32) Robot Invention Game: Foundational Models for Space Exploration
(18:30) David’s journey from liberal arts to robotics via IBM and CMU
(20:41) Founding Carnegie Robotics
(23:55) Why the robotics industry hasn’t scaled as fast as expected
(29:18) Safety systems: still slow, manual, and deeply fragmented
(35:17) Why big companies (Amazon, Apple) still struggle with robotics
(40:05) Demos gone wrong: off-by-one bugs, e-stop failures, and bedbugs
(45:38) Working with the DoD: myths, structure, and real challenges
(01:08:30) Launching ruggedized autonomy kits and components online
(01:16:33) Environmental challenges and thermal testing tales
(01:20:42) Advice for roboticists: Embrace collaboration, not just competition
(01:23:00) What’s next for Carnegie Robotics: Supporting the enablers

In the 58th episode of Automate It, Polymath Robotics co-founders Stefan Seltz-Axmacher and Ilia Baranov discuss why hardware for robots is so dang expensive.

But first, they play the robot invention game and come up with a humanoid axe murderer.

On Ep 57 of Automate It, Stefan and Ilia get into Polymath Robotics' latest progress—scaling the team, launching new customer projects, and pushing forward despite the usual challenges.

Then they play the robot game, brainstorming how machine learning could help identify high-value recyclables -- devolving into "spot the $10 treasure," complete with GPU budgets, conveyor belt chaos, and the eternal battle between processing speed and precision.

Then, they tackle the vertical vs. horizontal integration debate—when to build, when to buy, and how to avoid the costly mistakes of legacy autonomy. Plus, a deep dive into Polymath’s approach to testing and development, from cost-effective sensor trials to the surprising impact of RF interference in agricultural automation.

On this episode of Automate It, Stefan and Ilia break down the surprisingly flawed state of collision avoidance systems in mining—where billion-dollar companies still rely on network-dependent GPS safety systems that can fail with network outages, jamming, or spoofing.

They get into why legacy mining autonomy is stuck in the past, how vendor lock-in prevents progress, and what a modern, sensor-driven approach to safety should actually look like.

But first, they play the robot invention game, brainstorming thermal-camera-guided healthcare robots before escalating into a zombie apocalypse fever-detection system—complete with flamethrowers, saw blades, and a ruthless AI security gate. You're welcome.