Automated with Brian HeaterAssociation for Advancing AutomationA researched podcast for Robotics, Automation & IoT.
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Top 10 Robotics, Automation & IoT Podcasts of 2026
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The Robot Report PodcastThe Robot Report PodcastA researched podcast for Robotics, Automation & IoT.
Industrial Talk PodcastThe Industrial Talk Podcast with Scott MacKenzieA researched podcast for Robotics, Automation & IoT.
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Latest in Robotics, Automation & IoT
All latest episodesThe Automation Podcast32 min
Festo’s System Configurator (P285)
This week Shawn Tierney meets up with Tom Worsnopp of Festo to discuss their Automation System Configurator in this episode of #TheAutomationPodcast. Show Notes: Special thanks to our members for supporting our work!
Industrial Talk Podcast43 min
Darren James with Specops Software
Industrial Talk/ BCC is talking to Darren James, Head of Internal IT at Specops Software about "Zero Trust, Identity First Architecture". Overview The conversation explained how Specops helps organizations verify identity and secure cloud access against AI-enabled attacks. Identity Security Darren described service-desk identity verification using government-issued identification, selfie checks, and biometric liveness detection rather than knowledge-based questions or voice recognition. Verification can be enforced before sensitive actions such as password resets; unsuccessful verification prevents the service-desk agent from proceeding. Cloud Protection Strong passwords and MFA do not fully prevent attacks involving social engineering, man-in-the-middle phishing, information stealers, or stolen session cookies. Specops , part of Outpost24 , emphasizes device trust and identity-first, zero-trust access while minimizing user friction through self-service remediation and grace periods. Open question: How can organizations close security gaps between cloud point solutions while preserving productivity? Outline Company And Expertise Darren discussed his 15 years in cybersecurity and prior IT experience. Specops specializes in identity verification and access protection within Outpost24 . AI-Enabled Threats Attackers can use publicly available information, voice samples, deepfakes, and social engineering to impersonate employees. AI-generated phishing can capture credentials, MFA responses, and session cookies through proxy attacks. Information stealers can extract passwords, usernames, and session cookies from compromised devices. Security Approach Government-issued ID validation is combined with selfie matching and liveness checks. Device trust limits access to approved devices, shifting the security perimeter from the network to the endpoint. Self-service fixes and grace periods are intended to reduce operational friction. Industry Context The discussion promoted the Barcelona Cybersecurity Congress and referenced BCCPodcast26 as a discount code. Darren and Scott planned to continue the conversation at the event. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “ Why You Need To Podcast ” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! Live your business the way you want to live with the BUSINESS BEATITUDES... The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES! TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES! Reserve My Copy and My 25% Discount
Dr. Ahmad Bahai on the Semiconductor Race Behind AI and Robotics
AI and robotics may look like software revolutions. But every breakthrough depends on the semiconductors underneath them. In this episode of Automated, Brian Heater speaks with Dr. Ahmad Bahai, chief technology officer at Texas Instruments, about the chips, power systems, sensors, and edge-processing technologies enabling the next generation of AI and robotics. Ahmad explains why companies cannot predict the next major market a decade in advance. What they can see are the underlying trends, including the growing demand for power density, bandwidth, timing accuracy, and local processing. Those needs now extend from massive AI data centers to mobile devices and robots that must react without waiting for the cloud. Brian and Ahmad also trace his path from early Wi-Fi research at Bell Labs to Kilby Labs and Texas Instruments. Ahmad reflects on what made Bell Labs unique, why that model is difficult to reproduce today, and how companies can connect academic research with technology that can be manufactured at scale. The conversation also covers the semiconductor supply chain, the search for more efficient AI algorithms, and why technologies like autonomous vehicles and humanoid robots take longer to reach the mainstream than early predictions suggest. Finally, Ahmad explains why supposed physical limits rarely end technological progress. Scientists once argued that chips could not scale below 55 nanometers. Engineers found another way, and today the industry has reached two nanometers. Have thoughts or guest suggestions?
Robot Talk18 min
Bonus Episode: Revolutionising agriculture with 'grain-swimming' robots
During my recent visit to The National Robotarium in Edinburgh, I was lucky enough to get the chance to speak to some of the Robotarium's resident companies. In this interview, I spoke to Lorenzo Conti, Founder and CEO of Crover , a company developing robots for autonomous grain storage management. This episode was made possible by UK RAS STEPS , a programme supporting Research Technical Professionals in robotics and autonomous systems in the UK.
The Robot Report Podcast1 hr 27 min
The picks-and-shovels strategy behind the robotics boom
Teddy Haggerty is the founder and CEO of Robostore and Robo Inc., where he has helped push robotics into education, enterprise pilots, and early commercial deployments. His perspective is shaped by years of building in drones, crypto infrastructure, manufacturing, and import-export before turning his focus to robots. The robot boom is real, but the winners may not be the ones building the flashiest humanoid. Haggerty reveals why the smartest move in robotics right now is selling the picks and shovels: the hardware, curriculum, training, and integration layer that makes robots actually usable. From high school drones to crypto infrastructure to safety helmets and now robotics, Haggerty has been building businesses at the edge of every major wave. In this conversation, he breaks down how Robo Store evolved from a distribution play into a robotics education and deployment platform, and why Robo Inc. is now pushing toward a more localized, solution-first model. Gene Demaitre and Mike Oitzman press Haggerty on the bigger question behind the hype: what does it take to turn robotics into a real business, not just a demo? Haggerty’s answer is refreshingly pragmatic. Build for a specific job, keep the stack modular, and solve a customer problem today instead of chasing a fully general robot that is still years from mass adoption.
Leaping Over The Supply Chain Resilience Gap
If you’ve read a newspaper over the past year—or purchased gasoline—you’re aware that our global supply chain is turbulent. And while we can’t control weather or war, manufacturers do have tools at our disposal to operate more efficiently within unsteady supply chains. In this Automation World podcast we connect with Vincent Vasilevski of Supply Technologies, a leading global supply chain management company for assembly components and fasteners, to discuss how supply chain disruption can be mitigated through additional inventory and contingency planning, but those tactics don't always give manufacturers the flexibility to respond during prolonged disruptions. Vincent explains emerging smart inventory strategies to bolster supply chains, how the evolution of industrial automation is changing how we access assembly components, and how findings in Supply Technologies' new "State of Supply Chain Resilience 2026 Report" reveal the common supply chain challenges and exciting opportunities facing modern manufacturing decision-makers.
Automation Ladies37 min
When Trust Matters More Than Your Spec Sheet with Zoie Rittling
Edge computing sounds clean on a slide deck, but the factory floor is where the definition gets real fast. We talk with Zoie Rittling, an edge computing specialist at TEGUAR, about what “compute close to the data” actually means when you’re dealing with heat, dust, vibration, uptime pressure, and constant change. If you have ever wondered why a normal laptop dies on a production line, or what makes an industrial box PC, panel PC, or edge server the right fit for OT workloads, we break it down in plain language with concrete examples like machine vision and quality inspection. From there, we shift into the human side of industrial automation: how consultative B2B hardware sales works when you cannot manufacture demand and budget cycles run the show. Zoie shares why cold outbound is really a relationship game, why patience pays dividends over nine to eighteen month deal cycles, and how trade shows succeed or fail based on the planning and the post-show follow-up. We also talk about building a collaborative inside sales culture that protects customer experience instead of letting reps compete over the same account. We wrap by busting two expensive myths: industrial computers can be powerful, and edge AI does not automatically require a massive GPU. The goal is right-sizing hardware to the workload so performance is solid and ROI is real. Along the way we get into mentorship, imposter syndrome, and the value of being humble enough to ask questions, whether you are a new account executive or an engineer leaning on vendors and applications teams for expertise. __________________________________________________________________ 🎤 Want to be a guest on the show? 🎬 Credits Produced by: Veronica Espinoza Music by: Sam Janes P.S. - Help our podcast grow with ...
Manufacturing Hub1 hr 7 min
Ep. 274 - David Schultz on ISA 95, Knowledge Graphs, and Building a Data Model for AI
There is no pyramid anywhere in the ISA 95 standard. David Schultz explains what is actually inside it and how to turn it into a working data model. Most engineers meet ISA 95 as a layered triangle on LinkedIn and never get past it. David Schultz of Amárach StackWorks takes that image apart. The pyramid appears nowhere in the standard, which exists to define how business systems such as ERP exchange information with manufacturing and control systems. Eight parts are published today, Part 1 refreshed in 2025, with Part 9 still in committee. Start with Parts 1 and 2. Part 1 sets the scope, Part 2 delivers the resource, information and process models. Parts 3 and 4 add the activity models and the work master. Parts 5 and 6 supply the verbs and exchange patterns. From there it collapses into a frame you can hold in your head: four resources of equipment, physical asset, personnel and material, four domains of production, maintenance, quality and inventory, and four exchanges covering definition, capability, schedule and performance. Use what works and leave the rest. On adoption David is candid. The full set runs roughly $1,400, and the paywall keeps it out of most LLM workflows because ISA would forfeit copyright by opening it up. Where it breaks is data governance. When every site builds bespoke models, stitching them together means inventing a fourth abstraction. Vlad offers a first hand version from Procter and Gamble, where nobody at plant level owned the data structure moving from Rockwell controls into Proficy. For brownfield sites the advice is the Strangler fig pattern: leave what runs and replace functionality over time. The second half demystifies knowledge graphs using a family tree. A graph stores a subject, a predicate and an object, and the relationship is a first class citizen, not a foreign key. RDF defines the things, RDFS adds schema, OWL adds inference so a system can derive siblings from a shared parent, and SHACL constrains the shapes. Applied to a tank, that means volume and level as properties plus the resource relationship network to map which pump feeds which vessel. Rhize implemented the entire 2018 standard as a graph. David stays cool on AI. A shared ontology means a model never guesses whether two names match, but he expects it to underwhelm. His book pick is The Semantic Web for the Working Ontologist. About David Schultz David Schultz is a principal consultant and co founder of Amárach StackWorks, a consultancy describing itself as standards based manufacturing operations management built on a modern technology stack. He has spent close to 30 years in process control and factory automation, starting at the device layer before moving through SCADA into MES and ERP integration. He was previously a senior consultant at Rhize Manufacturing Data Hub, where ISA 95 was implemented as a knowledge graph. He last appeared on Manufacturing Hub for Episode 85. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results. He brings 15 years of experience in industrial automation and digital transformation.
The IoT Podcast42 min
Making IoT Connectivity More Flexible: The Future of Scalable Connectivity
What happens when IoT connectivity becomes more complicated as deployments scale? In this episode of The IoT Podcast, host Jake Gilbert, Head of 5V Tech, sits down with Jan Buis, CCO & Co-Founder of The IoT Guide, to explore the challenges businesses face when managing connectivity at scale and why more flexible models could offer a different approach. Jan shares his journey from telecoms and Wi-Fi into IoT, including how the IoT Guide evolved from an MVP focused on connectivity challenges into a platform designed to help businesses manage multiple connectivity solutions. The conversation also looks at the limitations of traditional prepaid and postpaid models, and how the IoT Guide’s wallet approach combines elements of both. Jake and Jan also discuss: Why IoT connectivity becomes more complex as deployments scale The challenges of prepaid and postpaid connectivity models How the wallet model works and where it can be useful Why hardware vendors are increasingly looking at connectivity as an additional service How white-label connectivity can bring vendors closer to their customers Use cases including backup connectivity and consumer wearables The growing role of eSIM and flexible connectivity models What hardware vendors should consider when choosing a connectivity partner Why understanding how customers use connected products is so important The episode also looks ahead at how flexible, usage-based connectivity could develop, including the role of eSIM profiles and changing approaches to connectivity in IoT. Chapters 00:00 – Introduction to IoT Guide 02:57 – The evolution of IoT connectivity 04:26 – Guiding businesses through connectivity 07:03 – Connectivity challenges at scale 09:00 – Prepaid vs postpaid 10:26 – The wallet model 11:46 – Backup connectivity use cases 14:31 – Connectivity as a service 16:39 – How the IoT Guide began 18:48 – Simplifying connectivity 20:58 – Selling connectivity as a service 24:14 – White-label connectivity 29:05 – Consumer wearables 32:02 – Bringing vendors closer to customers 35:52 – The future of eSIM 37:53 – Will flexible models become standard? 40:01 – Choosing a connectivity partner 42:24 – Learning from customer usage 44:28 – The importance of connectivity 45:23 – Final thoughts About The Things Industries The Things Industries is a leading provider of enterprise LoRaWAN® network solutions, enabling companies to build, operate, and scale secure IoT networks. Founded in 2015 and based in Amsterdam, its core product, The Things Stack, is a carrier-grade LoRaWAN Network Server trusted by enterprises worldwide. Its technology powers use cases from cold chain logistics to smart parking, with customers including Bosch, Panasonic, and Deutsche Bahn.
RobTalk43 min
How Robots Learned to Walk: From Hand-Engineered Control to Reinforcement Learning
Is legged locomotion actually a solved problem? In this episode of RobTalk, Felix Frank from our Robot Intelligence team explains how legged robots learn to walk, and why going from an impressive stage demo to a reliable real-world deployment is still one of the hardest open problems in robotics. 10:08 – Limits of the classical approach (door opening, manipulation) 12:19 – The optimization problem: cost functions & constraints 14:40 – Boston Dynamics' Atlas & the limits of hand-engineering 17:18 – The paradigm shift: GPU-parallel simulation & the Unitree G1 18:11 – Reinforcement learning explained: reward functions & domain randomization 23:50 – Domain randomization in depth 25:26 – Building robustness through external perturbations in training 26:23 – Motion imitation: mocap, retargeting & DeepMimic (2018) 30:57 – The data-centric approach: large-scale datasets & NVIDIA Sonic 33:39 – Why the humanoid form makes sense (locomotion vs. manipulation) 34:54 – Blind locomotion: how far can you get without perception? 36:35 – Terrain awareness & planner components 39:20 – Legged vs. wheeled robots: safety & fail-safe behavior