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by Audrow Nash
If you're building a robotics company, backing one, or deciding whether to join one, this is a way to hear how they actually work from the people running them. Founders, CTOs, investors, and researchers on how the robots work, how the business makes money, and what they've gotten wrong. Unscripted, usually over an hour, with chapters so you can skip to the part you care about. Hosted by Audrow Nash, a robotics engineer who's been interviewing roboticists since 2014.Questions and guest suggestions: audrow.com/contact
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- 3 weeks ago1h 33m
Why Defense Gets Humanoids Before Your Home Does: Skylark Labs' Amarjot Singh
Episode 27 of the Audrow Nash Podcast.A four-and-a-half-foot humanoid kicks in a door so a person doesn't have to go in first. Amarjot's case is that work like this is where humanoids pay off now: the tasks vary less than in a home, and working 70 or 80% of the time is still worth it when a person isn't the one getting shot.I talk with Amarjot Singh, founder and CEO of Skylark Labs, about a model that flags, labels, and learns new things on the device after it's deployed, how they teach a humanoid a skill from a few demonstrations, and why he thinks humanoid hardware becomes a commodity while the value moves to the brain.You'll like this interview if you work on robot learning or perception at the edge, you follow humanoids, or you're curious how robots get sold into defense. The model architecture stretch (8:51–34:41) is the most technical.EPISODE LINKS- Skylark Labs website: https://www.skylarklabs.ai/PODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES0:00 Cold open0:33 Amarjot Singh and Skylark Labs3:30 Humanoids that sweep for bombs and breach doors7:23 A brain-inspired model with memory8:51 Wavelets and Gabor filters as the first layer13:40 Unsupervised features, supervised on top17:26 1,000x less data and flagging outliers21:58 Detecting a camouflaged tank25:53 Explainability for kinetic systems28:12 Self-labeling and on-device memory32:06 From perception to motion34:41 The robotics stack and sensor language model36:45 Skills stored as graphs39:10 Mapping human motion onto a humanoid40:33 Adapting to a new door handle43:18 Teaching with Apple Vision Pro and egocentric video46:58 Simulation and sim-to-real50:14 What's easy, hard, and not yet possible52:44 When 70% reliable is enough55:01 The humanoid Turing test56:51 Generalization is the bottleneck1:00:05 From runway debris to robot dogs1:03:46 Why a humanoid, on two legs or four1:07:00 Humanoid hardware as a commodity1:10:56 Why defense comes before homes1:14:32 Trying markets until someone paid1:18:40 Building their own humanoid1:19:48 Manufacturing humanoids in the US1:22:20 India for data, testing, and talent1:25:40 Skylark's next three to five years1:28:21 Advice for robotics founders1:30:02 Where robotics is going1:31:57 Final takeaway
- Oct 6, 20261h 36m
Axel Krieger (Inner Logic): Robots That Learn Surgery From Surgeons
Johns Hopkins surgeons showed Axel's team the clip-and-cut phase of gallbladder surgery. The team recorded demonstrations, trained a robot on them, and it did that phase eight times in a row with no human help. The organs were from a butcher. Now they're testing it in live animals.I talk with Axel Krieger, Chief Robotics Officer at Inner Logic and associate professor at Johns Hopkins, about why his lab moved from hand-built models to imitation learning from surgeons, how they break a procedure into small steps a robot can learn, and how simulated patients built from tens of thousands of CT scans help test surgical devices.You'll like this interview if you're a roboticist curious about surgery, you work on imitation learning or VLAs, or you want a grounded take on when autonomy reaches the operating room. The high- and low-level policy stretch (23:46–42:28) is the most technical.EPISODE LINKS- Axel's LinkedIn: https://www.linkedin.com/in/axel-krieger-b14a0075/- IMERSE Lab (Johns Hopkins): https://imerse.lcsr.jhu.edu/- Inner Logic website: https://innerlogic.io/PODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES0:00 Cold open0:39 Axel Krieger and Inner Logic4:05 How surgical robots work today9:41 AI infrastructure for device makers11:15 From stitching to imitation learning18:23 Autonomous gallbladder surgery steps21:37 Action chunking transformers (ACT)23:46 Breaking surgery into small steps29:42 Language between high and low level policies35:44 Adapting to surgical robot hardware40:01 How much training data it takes42:28 VLAs and large surgical datasets47:30 Mixing training data51:44 From dead tissue to live animals54:47 Self-driving analogy and FDA approval58:35 Inner Logic's data platforms1:02:42 Simulated patients from CT scans1:05:20 Simulating bones, vessels, and soft tissue1:13:07 Where surgical robotics is heading1:17:28 One surgeon, several surgeries1:18:57 Training the next surgeons1:22:19 Funding climate1:24:52 Next milestones, from suction to suturing1:26:58 Tumor resection and full procedures1:29:49 Robot surgery in 20 years?1:31:15 Advice for getting into surgical robotics1:35:02 Final takeaway
- Oct 7, 20251h 29m
What If Robots Actually Did the Most Important Jobs in the World?
What if robots stopped doing just the simple, repetitive work and instead took on the most important, life-changing jobs in the world?I talk with Fred Parietti, Co-founder and CEO of Multiply Labs, about how advanced robotics can transform pharmaceutical manufacturing by automating the complex and high-value tasks that save lives.You'll like this interview if you're interested in robotics, automation in healthcare, and how technology can tackle some of the toughest challenges in next-generation medicine.TRANSCRIPT- https://audrownashpodcast.com/episodes/25-multiplylabsEPISODE LINKS- Fred Parietti's website: http://federicoparietti.com- Fred Parietti's X: https://x.com/FredParietti- Fred Parietti's LinkedIn: https://www.linkedin.com/in/fred-parietti- Multiply Labs website: https://multiplylabs.com- Multiply Labs X: https://x.com/multiplylabs- Multiply Labs LinkedIn: https://www.linkedin.com/company/multiply-labsPODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES Start Multiply Labs Overview Pharma Robotics Gap Next-Gen Pharma Multiply Labs Automation Deployment Size Thoughts on Humanoids Training Process High-Value Problems Key Takeaways
- Aug 21, 20251h 44m
Do Humanoid Robots Need Legs? The Surprising Logic Behind Robot Design Choices
Do robots really need to look—and move—like us? What physics and practical needs are driving these decisions behind the scenes?I talk with Pras Velagapudi, CTO of Agility Robotics, about why their team settled on a humanoid robot design (with legs!), how real-world constraints shape robotics, and the logic behind choices that go far beyond following trends.You'll like this interview if you're interested in robotics, automation, engineering tradeoffs, or the practical side of how machines are designed to do useful work alongside people.TRANSCRIPT- https://audrownashpodcast.com/episodes/24-agilityroboticsEPISODE LINKS- Pras Velagapudi's website: https://pras.ai- Pras Velagapudi on LinkedIn: http://www.linkedin.com/in/pvelagapudi- Agility Robotics website: https://www.agilityrobotics.com- Agility Robotics on X: https://x.com/agilityrobotics- Agility Robotics on LinkedIn: https://www.linkedin.com/company/agilityroboticsPODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES Start Agility Overview Why Humanoid Design Why Legs, Not Wheels Digit’s application Safety in Humanoids Standardizing Safety Digit in Other Industries How AI Fits into Robotics Is Data Still Gold? The Future of Agility Key Takeaways
- Jul 8, 20251h 39m
Are We Missing the Real Value in Robotics? Practical Automation’s Hidden Impact
What’s the real value of robotics today? Are we missing the biggest opportunities by chasing hype?I talk with Stefan Seltz-Axmacher, CEO of Polymath Robotics, and Ilia Baranov, CTO of Polymath Robotics, about why the most impactful robotics work isn’t always the flashiest—and how their modular autonomy stack is quietly transforming industries like mining, agriculture, and logistics.You’ll like this interview if you’re interested in how robotics is actually solving labor shortages, why “boring” automation often creates the most value, and what it takes to build a sustainable robotics business in a world obsessed with viral demos.TRANSCRIPT- https://audrownashpodcast.com/episodes/23-polymathEPISODE LINKSStefan Seltz-Axmacher, CEO & Co-Founderhttps://x.com/stefanesahttps://www.linkedin.com/in/stefanseltzaxmacherIlia Baranov, Co-Founder & CTOhttps://x.com/IliaBaranovhttps://www.linkedin.com/in/iliabaranovPolymath Roboticshttps://www.polymathrobotics.comhttps://x.com/polymathrobotshttps://www.linkedin.com/company/polymath-robotics/- Automate It podcast on YouTube: https://www.youtube.com/@polymathrobotics3646- Automate It podcast on Spotify: https://open.spotify.com/show/1lL9aEPOSYzajj21NMV9oG- Automate It podcast on Apple Podcasts: https://podcasts.apple.com/ca/podcast/automate-it-a-robotics-podcast/id1652686795PODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES Start Polymath Overview Robotics Standards Gap Market Reality Labor Shortages Cutting Mining Costs AgTech Needs Action Practical Autonomy Humanoid Future LLM & Coding Work-Kids Balance Key Takeaways
- May 1, 20251h 39m
How Are Investors Navigating the Wild Frontier of Robotics Startups?
How are investors navigating the wild frontier of robotics startups? The rules for deep tech investing are still being written.I talk with Brannon Jones, DeepTech Investor at AlleyCorp, about why robotics is an untamed investment landscape, how smart investors evaluate robotics companies, and which sectors are primed for robotic disruption.You'll like this interview if you're interested in robotics startups, venture capital's approach to hardware, or understanding which deep tech innovations are hype versus reality.TRANSCRIPT- https://audrownashpodcast.com/posts/22-alleycorp/transcriptEPISODE LINKS- Brannon Jones X: https://x.com/robotjonez- Brannon Jones LinkedIn: https://www.linkedin.com/in/jones-brannon- AlleyCorp Website: https://alleycorp.com- AlleyCorp LinkedIn: https://www.linkedin.com/company/alleycorpPODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES Start AlleyCorp Overview DeepTech AlleyCorp’s Reach Portfolio Highlights Eyebot Kiosk SaaS vs. DeepTech Portal Space Aescape Massage Robot Valar Atomics Koop Technologies Glacier Robotics Civ Robotics Investment Challenges Market-Focused Startups Early Robotics Investments Humanoids Deglobalization Hype vs. Reality in Robotics Key Takeaways
- Apr 8, 20251h 34m
From Napkin Sketches to Precision Frames: How Robots Are Transforming Home Building
Housing is expensive, and a big part of that cost is labor. What if robots could build the frames for our homes, making construction faster, safer, and more affordable?I talk with Barrett Ames, Co-founder of BotBuilt, about how his company is revolutionizing home construction by automating the framing process. Barrett shares how they've solved the challenges of working with imperfect lumber, translating floor plans into precise 3D models, and reducing on-site framing time from weeks to just hours.You'll like this interview if you're interested in robotics startups finding that sweet spot between technical challenge and market opportunity, the future of construction, or how automation might help address America's housing crisis.JOBS AT BOTBUILThttps://jobs.audrownashpodcast.com/jobs?q=BotBuiltTRANSCRIPT- https://audrownashpodcast.com/posts/21-botbuilt/transcriptEPISODE LINKS- Barrett Ames' website: https://www.cbames.com/- BotBuilt's website: https://www.botbuilt.com/- Barrett on X/Twitter: https://x.com/cbames- Barrett on LinkedIn: https://www.linkedin.com/in/cbames- BotBuilt on X/Twitter: https://x.com/botbuilt_- BotBuilt on LinkedIn: https://www.linkedin.com/company/botbuilt/PODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- Podcast Jobs board: https://jobs.audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES Start Overview Challenges Sketch to Structure Generative Solutions Structuring Build When Things Go Wrong Traditional vs. Automated Time & Cost Long-Term Vision Construction Opportunities Lessons Learned Final Thoughts
- Mar 13, 20251h 35m
From Cloud to Edge: Why Vision Processing is Shifting Closer to the Sensor
Ever wondered how robots actually "see" the world? Or why Tesla can achieve so much with just vision?I talk with Bradley Dillon, CEO of Luxonis, about how their AI-enabled cameras are becoming the eyes and brains of robots everywhere. Bradley shares how they've sold over 150,000 vision platforms and why processing at the edge (right on the camera) is revolutionizing robotics.You'll like this interview if you're interested in computer vision, edge computing, or how vision technology is making automation possible in industries from agriculture to security screening.TRANSCRIPT- https://audrownashpodcast.com/posts/20-luxonis/transcriptEPISODE LINKS- Luxonis Website: https://www.luxonis.com- Luxonis LinkedIn: https://www.linkedin.com/company/luxonis/- Luxonis X: https://x.com/luxonis- Bradley's LinkedIn: https://www.linkedin.com/in/bradley-dillon/- Bradley's X: https://x.com/bradley_luxonisPODCAST LINKS- Podcast Website: https://audrownashpodcast.com/- YouTube: https://www.youtube.com/@audrow- Apple Podcasts: https://podcasts.apple.com/us/podcast/audrow-nash-podcast/id1716486786- Spotify: https://open.spotify.com/show/74jWpWiLwsasY2QHtDcl8I?si=6c92796bf9554162TIMECODES Start Bradley Dillon & Luxonis Overview Luxonis’s Equipments Integrating Multiple Sensors Applications of Luxonis Vision Luxonis & Computing Power Linking Multiple Devices Luxonis AI Models Data Generation & Labeling Future Predictions AI for Scene Understanding Targeting Industries for Innovation Smart Security Screening Growth Story Chip Supply Challenges Future Sensor Additions Luxonis Resources Outro
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About Audrow Nash Podcast
If you're building a robotics company, backing one, or deciding whether to join one, this is a way to hear how they actually work from the people running them. Founders, CTOs, investors, and researchers on how the robots work, how the business makes money, and what they've gotten wrong. Unscripted, usually over an hour, with chapters so you can skip to the part you care about. Hosted by Audrow Nash, a robotics engineer who's been interviewing roboticists since 2014.Questions and guest suggestions: audrow.com/contact
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