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Manufacturing Matters

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The Manufacturing Matters podcast aims to get to the heart of automation technology and how it plays into the growing manufacturing industry. Join us for insights and interviews discussing trends, innovations, and advanced automation technologies, such as robotics, machine vision, AI, and much more. Follow our social channels here: http://linktr.ee/m_mp

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S4 · E154
Yesterday · 33 min
Episode 154 - Lindsey Sullivan, Founder, Technical Marketing Manager, CCS America
Machine vision teams will happily argue for hours about cameras, sensors, and AI models. Then they choose the light last — and wonder why the system can’t see the defect it was built to find. Lindsey Sullivan has a demo that ends the argument. At CCS America’s hands-on lighting roundtables, she hands engineers a battery with a small dent in it. Put a coaxial light at one working distance and the dent is unmistakable — any camera, any software, even the cheapest black-and-white setup catches it instantly. Move that same light a few inches closer and the dent vanishes. No camera can find it. No filter brings it back. No amount of AI rescues it. In this episode of Manufacturing Matters, TECH B2B Marketing’s Jimmy Carroll and Aaron Hand talk with Sullivan, technical marketing manager at CCS America, about why lighting deserves a bigger role in machine vision. She explains when standard lighting gives way to custom designs, how manufacturing environments can change the equation, and why finding the right wavelength often involves some experimentation. UV can make coatings and inks fluoresce. IR can reveal defects hidden beneath packaging graphics. And SWIR? Sometimes you just have to try it. Sullivan also explains where artificial intelligence fits into the picture: It can sharpen the marginal calls that once tripped up machines and human inspectors alike, but it can’t recover a defect that the wrong lighting has already hidden. Her advice to machine vision integrators is simple: Stop choosing the light last. Support the show
S4 · E153
October 2 · 45 min
Episode 153 – Kyle Haworth, Founder, GuildHall
Most discussions about industrial automation and analytics concern operations with hundreds of employees. This episode of Manufacturing Matters explores a less traveled quarter: Small shops with maybe a dozen people on the floor, a founder who has run the place for decades, and a spring sales bump nobody has ever been able to explain. Our guest, Kyle Haworth, built his career building large-scale enterprise data systems before co-founding GuildHall to bring that same discipline to manufacturers under 30 employees and under $10 million in revenue. He notes that small shops often buy advanced technology before their processes are ready to absorb it, which is how some of them end up using a tenth of the ERP system they paid for. In this episode, TECH B2B Marketing’s Dan McCarthy and Aaron Hand also talk with Haworth about the readiness of small shops to handle artificial intelligence. Asking what AI enables is more productive than asking what AI replaces, Haworth argues. He shares a working example of using AI to connect siloed accounting, ERP, inventory, and quality systems to let owners ask plain-English questions and get a dashboard on the fly. Haworth’s closing advice for owners who assume they can’t afford outside help: Understand the problem and its inputs first. The tooling is now the cheap part of the solution, but it won’t do much good until owners first understand their processes. Support the show
S4 · E152
September 18 · 23 min
Episode 152 - Gerry Vannuffelen, CEO & Founder, Mantis Robotics
“You can have a high speed industrial robot, any type of robot really. And it doesn’t need fences, it doesn’t need safety devices. Everything is there. So it adjusts in real time to its environment.” A fence is usually the price of speed: put a high-speed industrial robot on a plant floor and you cage it off, or slow it down into a cobot and accept the productivity hit. Mantis Robotics founder and CEO Gerry Vannuffelen built the company to close that gap — fenceless robots that run at full industrial speed and adjust in real time to people working around them, reserving a hard stop for the rare moment someone actually reaches out and touches one. In this episode of Manufacturing Matters, host Wynn Hardin sits down with Vannuffelen at Automate 2026 in Chicago to unpack how Mantis certifies its fenceless robots to the same ISO 10218 and ISO 13849 standards as traditional industrial robots — not through power-and-force limiting like a cobot, but through speed-and-separation monitoring that lets the robot see people and avoid them rather than collide or stop. The conversation covers the real-estate cost of a traditional automation project, why cobots often can’t match a person’s throughput, and how Mantis’s newest dual-arm robot splits the difference between a caged industrial arm and an expensive, slower humanoid — mountable on a pedestal, a cart, or an autonomous mobile robot. Vannuffelen also digs into Mantis Studio, the no-code deployment platform and real-time digital twin that — unlike most simulation tools — models the people working alongside the robot, not just the work cell. He makes the case for “physical AI” as the layer that closes the gap between AI’s sandbox reasoning and real-world manipulation, why a deterministic safety layer has to sit underneath any AI model that isn’t 100% reliable, and why he expects mobile manipulators — arms on wheels — to keep gaining ground on humanoids in warehouse and plant-floor settings. Support the show
S4 · E151
September 4 · 43 min
Episode 151 - Juan Aparicio of ReshapeX and Ajaiey Sharma of Novanta (ATI Industrial Automation)
“It’s really a needle in a mountain of needles and you just want to find one.” For most manufacturers, the hard part of AI isn’t the model — it’s the knowledge locked in the heads of veteran engineers. In this special Automate 2026 episode of Manufacturing Matters, TECH B2B Marketing’s Jimmy Carroll sits down with ReshapeX’s co-founder and CEO Juan Aparicio and Novanta’s Ajaiey Sharma (ATI Industrial Automation) for a candid case study of how the two companies turned decades of tribal knowledge into a working AI agent. Novanta’s ATI tool changers can be configured millions of ways — the team pegs a single product line at roughly 7 million combinations — and pinpointing the one right configuration used to take days of back-and-forth with application engineers. Sharma and Aparicio walk through how they codified that expertise into an “agentic application engineer” that returns the right answer in minutes, why they set out to be the 5% of enterprise AI projects that succeed rather than the 95% that fail, and the build-versus-buy calculus that led Novanta to partner with ReshapeX. The conversation digs into the unglamorous work behind a reliable agent: gamified, week-over-week testing with real customer queries, a human-in-the-loop feedback loop that moves the system from probabilistic to deterministic, a knowledge graph that reasons on relationships instead of semantics to reach 99.99% precision, and continuous evals to guard against model drift. They close with a playbook for other manufacturers — define the real problem, secure executive cover, get your solution fit right, and treat it like a high-risk project — plus why codifying knowledge before it walks out the door may be the most important thing an established company can do. Support the show
S4 · E150
August 21 · 40 min
Episode 150 - Dale Hopkinson, Senior Product Manager, Cloud Services, Thales
“The value is moving from the metal to the code.” As manufacturers add AI and software to their products, the old one-time hardware sale is running out of runway when it comes to improving AI models for manufacturing. For Thales’s Dale Hopkinson, the real opportunity — and the real risk — sits in how that software and AI actually get monetized: not as a bolted-on price tag, but as a flexible, recurring business built to change as fast as the technology does. In this episode of Manufacturing Matters, TECH B2B Marketing’s Winn Hardin sits down with Hopkinson, Senior Product Manager for Cloud Services at Thales, to unpack why software is decoupling from hardware, what that means for OEMs retasking and repackaging existing equipment, and why Bain projects AI, software, and data will add roughly $70 billion to the market within five years. The conversation covers the organizational groundwork companies need before they can monetize AI — P&L ownership, dedicated staff, and roadmaps that survive personnel changes — plus the shift from subscription tiers to usage-based and hybrid pricing, the operational lift of managing renewals, entitlements, and channel relationships, and why protecting AI models and training data on the edge is now a board-level conversation. https://www.manufacturing-matters.com https://www.techb2b.com LinkedIn: https://www.linkedin.com/showcase/manufacturing-matters/ Instagram: https://www.instagram.com/manufacturing_matterspodcast/ #manufacturing #automation #manufacturingmatters #techb2b Support the show
S4 · E149
August 7 · 32 min
Episode 149 – Ed Garstkiewicz, Senior Business Development Manager, Emerging Markets, HARTING
“The more we can do with it, then the more likely the humanoids are going to take off and be adopted.” Connectors rarely get top billing. Nobody designs a device around a connector — yet these humble components increasingly determine whether a smart factory, an edge deployment, or a humanoid robot works. As manufacturers push more data, more power, and more intelligence through the same shrinking footprint, the demands on interconnect technology are evolving as fast as the systems they serve. For this episode of Manufacturing Matters, TECH B2B Marketing’s Aaron Hand sits down with Ed Garstkiewicz, HARTING’s Senior Business Development Manager for Emerging Markets, at Automate 2026 in Chicago to talk about the fast-changing world of industrial connectivity. They dig into smart connectors that add sensors, status indicators, and intelligence right at the connection point; the constant balancing act between miniaturization and ruggedization; and why connectors may be one of the keys to making humanoid robots lighter, more efficient, and easier to repair. “A humanoid robot is the perfect example for the need for smart connectivity,” Garstikiewicz notes. “The wiring and connectors make up 5 to 10% of the weight of a humanoid. So if we can add functionality to the connector and reduce the need for other systems, we’re lowering the weight and improving the efficiency of the humanoid robot.” This could be a deciding factor in how quickly humanoids get adopted. If you’ve never given much thought to what’s at the end of the cable, this conversation makes the case that the connector is quietly becoming one of the smartest components on the factory floor. Support the show
S4 · E148
July 30 · 33 min
Episode 148 - Andre Marino, Senior Vice President, Industrial Automation, NAM, Schneider Electric
"AI needs data, and industrial data is not available on the general internet." “It's not like you do either AI or manufacturing. If you're smart, you optimize what you have. You would be amazed how much you can gain by just retrofitting your old asset.” AI is finally moving “from PowerPoints to the real world” on the factory floor, but it can’t deliver when fed siloed, proprietary data. For Schneider Electric’s Andre Marino, the foundation comes first: open, software-defined automation that harmonizes industrial data, so manufacturers can train AI models on their own operations instead of buying technology and getting frustrated. In this episode of Manufacturing Matters, TECH B2B Marketing’s Jimmy Carroll sits down with Marino at Automate 2026 in Chicago to talk through what it takes for manufacturers to modernize and compete — from the hyperscale “AI factories” racing to add capacity to the small and midsize companies that make up 85% of the U.S. manufacturing base. The conversation covers the growing competition for energy between AI data centers and factories and why the answer isn’t adding capacity alone while digging into digital twins for upgrading lines with minimal downtime, closing the skills gap by drawing IT talent into the OT world, and a task-first (not form-first) take on humanoid robots and world models. Additionally, the discussion covers what Marino would like to see in U.S. robotics legislation, and his playbook for smaller manufacturers: know what you’re solving for, digitize, automate, optimize — and repeat. Support the show
S4 · E147
July 24 · 41 min
Episode 147 - Dr. Ray Hoare, Founder Concurrent EDA
“What we bring to the table is we understand how to take the data, do real-time compute, and turn it into knowledge. So, you got raw data coming in, you got knowledge coming out.” Modern machine vision and imaging systems can throw off a firehose of data far faster than a general-purpose computer can absorb it. Concurrent EDA founder Ray Hoare, PhD, has spent two decades on the other side of that firehose, taking algorithms and moving them into electronics so the compute happens right at the sensor, in real time. In this episode of Manufacturing Matters, TECH B2B Marketing’s Jimmy Carroll sits down with Dr. Hoare to talk through the latest in real-time processing. Dr. Hoare discusses how AI has reshaped the way his team builds — including generating 600,000 lines of code in a single month — and why he keeps telling engineers to “dream big” and prototype what used to feel impossible. The conversation covers when GPUs like NVIDIA Jetson win versus when FPGAs are the only option, such as scenarios involving submillisecond latency, 1,000+ fps cameras, and 50-to-100 Gbps data rates in real-world high-speed applications from additive manufacturing melt-pool monitoring to laser tracking and 3D metrology. The discussion also covers open smart cameras, MIPI sensors, image signal processing techniques, and how the same “firehose” thinking applies to RFSoCs for defense; time-sensitive networking as “Ethernet 2.0”; and a UDP/IP core that moves data from programmable logic to Python far more efficiently than Linux. Dr. Hoare closes with the diagnostic questions he asks every customer: where is your data coming from, what are you trying to extract, and where is it going? Support the show
S4 · E146
July 17 · 29 min
Episode 146 - Sheldon Zimmerman & Isabelle Durso, Rockwell Automation
“The end goal for a lot of clients is this dream of a lights-out factory. Before you get there, there’s a stepping stone in between — and it’s this connected factory.” Autonomous mobile robots spent years confined to warehouse aisles. Now, driven by a persistent labor shortage and a wave of AI, they’re moving into the heart of the factory — handling the material movement between “islands of operation” that people increasingly don’t want to do, and taking on mission-critical roles once considered too risky to automate. In this episode of Manufacturing Matters, TECH B2B Marketing’s Jimmy Carroll sits down with Rockwell Automation’s Sheldon Zimmerman (Global Head of AMR Sales) and Isabelle Durso (Business Manager, AMRs) at Automate 2026 in Chicago to unpack where mobile robotics is really headed and what it takes to get robots up and running on a plant floor. The conversation covers how AI is reshaping AMRs from the sensor up to the orchestration layer, the rise of mobile manipulation (and where humanoids do and don’t fit), why simulation and digital twins are becoming essential for de-risking deployments, and the real hurdles to adoption: IT/OT integration, physical infrastructure, and the brownfield-versus-greenfield divide. Zimmerman and Durso also make the case for starting small with pilots, the evolving safety standards that let robots and people share a floor, and why the “connected factory” — MES and ERP talking through a single orchestration layer — is the practical stepping stone toward lights-out manufacturing. Support the show
S4 · E145
July 2 · 35 min
Episode 145 – Denise Chludzinski from Miller Resource Group
This episode of Manufacturing Matters features Winn Hardin in conversation with Denise Chludzinski, vice president of business development at Miller Resource Group, a leading recruiter specializing in food and industrial automation manufacturing sectors. They discuss current talent trends, labor market challenges, and growth opportunities in manufacturing for 2026. Support the show
S4 · E144
June 19 · 42 min
Episode 144 - Charlie Andersen and Shelby Allen from Burro
"Every Burro turns on with 12 eyes … and if one robot makes a mistake in a train depot yard in Australia, or an airport in South America, or doing vegetation management alongside a road in Pennsylvania, the entire fleet learns from that lesson.” For years, autonomous robots largely stayed indoors, confined to the predictable aisles of warehouses and factories. Leveraging his experience growing up working on a farm, Burro Co-Founder and CEO Charlie Andersen sought to develop rugged autonomous robots that work safely and effectively alongside people in the messy, ever-changing conditions of the great outdoors. In this episode of Manufacturing Matters, TECH B2B Marketing’s Jimmy Carroll sits down with Andersen and Burro marketing coordinator Shelby Allen to explore how the company went from “three guys and a dog named Meg” working out of an unheated barn to a fleet of roughly 750 robots that haul, tow, mow, spray, and patrol across agricultural and industrial sites worldwide. The conversation covers why building autonomy that works near people outdoors is far harder than automating big machines or indoor warehouses, and how “physical AI” adds a crucial third leg — training data — to the traditional hardware-and-software stack. Anderson explains how a larger fleet means more “eyes on the world,” compounding learning across every unit, and why the company’s surprising surge of industrial demand (now roughly a third of its fleet) prompted its first appearance at Automate 2026. Additional topics include the Burro Grande 44, the “Swiss cheese” model of safety, the role of large language models and voice commands on mobile robots, user privacy and data sovereignty, and why Andersen believes the U.S. has a major opportunity to lead as physical AI meets outdoor work. Support the show
S4 · E143
June 12 · 32 min
Episode 143 - Eric Utley, Applications Engineering Manager at Protolabs
"Computational design and 3D printing go together like peanut butter and chocolate." For most of its history, 3D printing was considered speculative, risky, even fringe. Today, says Eric Utley, 3D printing applications engineering manager at Protolabs, it's boring, and that's exactly the point. In this episode of Manufacturing Matters, TECH B2B Marketing's Jimmy Carroll sits down with Utley, a 16-year veteran of the additive manufacturing industry, to explore how 3D printing has quietly evolved from a rapid prototyping curiosity into mainstream production technology, and where it's headed next. The conversation covers how Fortune 500 companies like GE and HP helped shift additive manufacturing toward end-use production, why the explosion of application-specific materials is one of the clearest signs of the industry's maturation, and how customers are increasingly designing parts specifically for 3D printing rather than as a stepping stone to other processes. Additional topics include the growing role of AI and computational design, how hobbyists are quietly driving innovation, and why algorithmic-based design processes paired with digital manufacturing are creating new opportunities. https://www.manufacturing-matters.com https://www.techb2b.com LinkedIn: https://www.linkedin.com/showcase/manufacturing-matters/ Instagram: https://www.instagram.com/manufacturing_matterspodcast/ #manufacturing #automation #additivemanufacturing #3dprinting #manufacturingmatters #techb2b Support the show
S4 · E142
May 29 · 44 min
Episode 142 - Alex Sandoval, founder and CEO of Allie
Artificial intelligence is everywhere in manufacturing right now. But for many plant teams, it still feels more like a concept than a practical tool. In this episode of Manufacturing Matters, Aaron Hand sits down with Alex Sandoval, founder and CEO of Allie, to break down what AI actually looks like on the factory floor. Sandoval explains how AI co-pilots can connect to PLCs, quality systems, and maintenance data to act like a 24/7 expert supervisor — surfacing problems before they cause downtime and guiding operators toward faster, better decisions. But the technology itself isn’t the biggest hurdle. From disconnected machines and unclear data ownership to the cultural challenges of trust and fear, most manufacturers aren’t failing because of AI. They’re getting stuck before it can deliver value. Support the show
S4 · E141
May 22 · 32 min
Episode 141 - Congresswoman Jennifer McClellan
“One of my biggest complaints with public policy is we're too reactive. And because technology now changes so rapidly, if you're reactive, by the time you have a policy in place, it's outdated.” -Congresswoman Jennifer McClellan The United States accounts for just 9% of global robotics installations while China accounts for 54% — a gap that Congresswoman McClellan believes demands a proactive response from Washington. That's the driving force behind the National Commission on Robotics Act (HR 7334), a bipartisan bill that would establish an 18-member Commission on American Leadership in Robotics to assess U.S. competitiveness, workforce needs, and supply chain security in robotics and AI. In this episode of the Manufacturing Matters podcast, TECH B2B Marketing's Winn Hardin and Jimmy Carroll are joined by Congresswoman McClellan, U.S. Representative for Virginia's 4th Congressional District, to discuss why now is the time for government to get ahead of the curve on robotics and AI policy — rather than react to it after the fact. The conversation highlights the key pillars any national robotics policy must address, from workforce development and reskilling to supply chain resilience and the ethical guardrails needed as AI and robotics increasingly converge. Congresswoman McClellan also discusses the makeup of the proposed commission, why its recommendations will need to be revisited far more frequently than traditional legislation allows, and why winning the AI race at the expense of communities, energy, and resources would be a Pyrrhic victory. Additional topics include real-world examples of robotics driving safety and efficiency — from bottling facilities to Amazon distribution centers — and how Congress can play a meaningful role in shaping the future of automation without stifling innovation. Support the show
S4 · E140
May 15 · 32 min
Episode 140 - Mark Gagas, COO Sensory Robotics
"Engineers can now start thinking about cell design not from the cages, but from the actual work." A significant if not obvious factor that all companies implementing robotic systems must consider is safety. While robotic guarding has been the industry standard for years, Sensory Robotics COO Mark Gagas believes another way offers more flexibility and space for manufacturers. After 19 months of rigorous testing, his company now has UL certification to prove it. In this episode of Manufacturing Matters, TECH B2B Marketing's Jimmy Carroll sits down with Gagas to discuss how Sensory Robotics' SR-1 system uses 3D vision to provide 100% human detection coverage, replace hard guarding with an intelligent, monitored space around the robot — allowing workers and machines to operate together naturally, at full speed and full payload. The conversation covers what the newly achieved certification means for customers and the broader market, how advances in 3D time-of-flight sensing and edge computing made a system like SR-1 possible, and why fenceless factory design could unlock significant gains in floor space and productivity. Gagas also walks through the company’s expanding product line, including a DoD-funded mobile platform, SR-2— which embeds safety directly into the arm — and SR Insight, a data layer that adds productivity dashboards, human ergonomics analysis, and live risk assessment monitoring on top of the core safety infrastructure. Support the show
S4 · E139
May 7 · 54 min
Episode 139 - Erik Reynolds, Founder of Reynolds and Moore
Artificial intelligence is quickly making its way onto the manufacturing floor. But when it comes to safety, the stakes are different. In this episode of Manufacturing Matters, Winn Hardin and Aaron Hand talk with Erik Reynolds, founder of Reynolds & Moore, about what it really takes to bring AI into safety-critical systems. For decades, safety engineering has relied on deterministic, fully explainable systems. AI challenges that foundation, introducing models that learn, adapt, and sometimes behave in ways we don’t fully understand. So why use AI at all? Reynolds explains where it actually adds value — from enabling smarter human-robot collaboration to the possibility of systems that improve safety over time, not degrade. But with that potential comes a new challenge: proving that these systems can be trusted. https://www.manufacturing-matters.com https://www.techb2b.com LinkedIn: https://www.linkedin.com/showcase/manufacturing-matters/ Instagram: https://www.instagram.com/manufacturing_matterspodcast/ #manufacturing #automation #manufacturingmatters #techb2b Support the show
S4 · E138
May 1 · 33 min
Episode 138 - Aaron Royster, Group Manager – Automation, Schunk
Robots may get most of the attention, but what happens at the end of the arm often determines whether an automation project succeeds or fails. As manufacturers push for greater flexibility, faster changeovers, and more complex handling, the demands on grippers and end-of-arm tooling are evolving at least as quickly as the robots themselves. In this episode of Manufacturing Matters, Aaron Hand talks with Aaron Royster, group manager of automation at Schunk, about how end-of-arm tooling is shaping system design, enabling more adaptable automation, and unlocking new applications. They also explore the growing role of artificial intelligence, the balance between hardware and software innovation, and why some manufacturers are rethinking how they approach automation — from the gripper back. Support the show
S4 · E137
April 22 · 23 min
Episode 137 - Robert Franz, CEO of Allied Vision Technology GmbH
Computer imaging (aka Machine Vision) is having a moment, and Allied Vision CEO Robert Franz explains why. In this episode of Manufacturing Matters, he joins Winn Hardin to talk about Allied Vision’s brand unification, the shift from components to customer-first solutions, and why AI, edge intelligence, SWIR imaging, and open smart cameras are opening up huge new opportunities across automation, agriculture, healthcare, robotics, and beyond. It’s a fast-moving conversation about where vision technology is headed next and why the future looks bright. https://www.manufacturing-matters.com https://www.techb2b.com LinkedIn: / manufacturing-matters Instagram: / manufacturing_matterspodcast #AI #ComputerImaging #MachineVision #manufacturing #automation #manufacturingmatters #techb2b Support the show
S4 · E136
April 10 · 36 min
Episode 136 - Arne Leinse, CEO of LioniX International
In this episode of Manufacturing Matters, host Dan McCarthy of TECH B2B Marketing sits down with Arne Leinse, CEO of LioniX International, to explore the manufacturing realities behind photonic integrated circuits (PICs) — one of the most technically demanding frontiers in semiconductor manufacturing. As CEO of a module supplier built around silicon nitride waveguide technology, Leinse highlights the challenges that make PICs so difficult to produce at scale, from the need for sub-nanometer alignment tolerances to the “chicken and egg” challenge of building fabrication capacity ahead of market demand. The conversation also explores how LioniX’s vertically integrated business model has helped it navigate this emerging manufacturing sector by unlocking flexibility across markets spanning quantum sensing to AR/VR. The episode also touches on industry standardization, in-process quality control, supply chain complexity, and the global talent strategies required to staff an emerging deep-tech sector. Support the show
S4 · E135
April 3 · 29 min
Episode 135 - Clint Bundy, Managing Director at The Bundy Group
In this episode of Manufacturing Matters, host Winn Hardin sits down with Clint Bundy, managing director of the Bundy Group, to pull back the curtain on the world of mergers, acquisitions, and capital raising within the industrial automation sector. As the manufacturing industry faces a "graying" C-suite and shifting economic forecasts, Bundy provides a masterclass on how business owners can navigate these high-stakes transitions. Support the show

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