Machine Minds

Greg Toroosian

Machine Minds - the minds behind the machines! This is the show where we dive deep into the intricate worlds of robotics, AI, and Hard Tech. In each episode, we bring you intimate conversations with the founders, investors, and trailblazers who are at the heart of these tech revolutions. We dig into their journeys, the challenges they've overcome, and the breakthroughs that are shaping our future. Join us as we explore how these machine minds are transforming the way we live, work, and understand our world. 

  1. Why the Future of Robotics Runs on Orchestration with Saurabh Gupta

    3 ngày trước

    Why the Future of Robotics Runs on Orchestration with Saurabh Gupta

    Warehouse automation is entering a new phase. The challenge is no longer building individual robots. It's coordinating fleets of robots, software systems, and human workers into a seamless, intelligent operation. Saurabh Gupta, Chief Technology Officer at GreyOrange, joins Greg to explore why orchestration is becoming the defining layer of modern warehouse automation. Drawing on a career that spans Apple, Amazon, educational robotics, healthcare, and autonomous systems, Saurabh shares lessons from helping scale technologies that bridge the gap between technical complexity and real-world usability. From working on the first iPhone production line to leading the evolution of GreyOrange from a robotics company into a warehouse orchestration platform, Saurabh offers a unique perspective on what it takes to move robotics from impressive demos to scalable, reliable systems that deliver business value. In this conversation, Greg and Saurabh explore: Lessons from Apple's product culture and why the best technology is often invisible to the userWhat working on the original iPhone taught Saurabh about vision, product design, and disruptive innovationHow educational robotics revealed the importance of understanding human behavior before building technologyWhy the gap between a robotics demo and a real-world deployment remains one of the industry's biggest challengesThe transition from viewing robotics as a hardware problem to understanding it as an orchestration problemGreyOrange's evolution from warehouse robot manufacturer to software platform coordinating robots, humans, conveyors, and automation systemsWhy vendor-agnostic orchestration is critical for the future of warehouse automationHow AI creates practical value through exception handling, prediction, and real-time operational decision-makingThe role of data in building warehouse "world models" capable of anticipating disruptions before they happenWhy fully autonomous warehouses may be the wrong goal and what highly orchestrated human-robot collaboration looks like insteadCommon mistakes robotics companies make when scaling products, manufacturing, and deploymentsWhat separates impressive engineering organizations from effective engineering organizationsThe importance of simulation-first development and testing before real-world deploymentWhy robotics founders must be crystal clear about the single problem their product solvesSaurabh's vision for intelligent warehouse systems that can autonomously anticipate and resolve problems before humans even notice themFor anyone building robots, deploying automation, or trying to understand where AI and physical systems are headed next, this episode offers a practical look at how orchestration, intelligence, and human-centered design are shaping the future of warehouse operations. Saurabh's LinkedIn: https://www.linkedin.com/in/saurabhgupta6/ GreyOrange LinkedIn: https://www.linkedin.com/company/gogreyorange/ GreyOrange website: https://www.greyorange.com/ GreyMatter - GreyOrange's warehouse solution: https://www.greyorange.com/greymatter/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregtoroosian/

    48 phút
  2. Humanoids Beyond the Hype with Jide Akinyode

    18 thg 6

    Humanoids Beyond the Hype with Jide Akinyode

    Humanoid robots are moving beyond flashy demos and into some of the hardest environments on Earth: shipyards, energy sites, manufacturing floors, construction projects, and other industrial settings where skilled labor is scarce and the work is often dangerous, physically demanding, and difficult to automate. Greg sits down with Jide Akinyode, co-founder and COO of Persona AI, to unpack what it really takes to build humanoids for heavy industry. Jide traces his path from NASA Johnson Space Center, where he started at 19 and spent a decade working on advanced dexterity, robotic astronauts, humanoids, and mobile manipulators, to Nauticus Robotics, where he helped bring robotic manipulation into harsh subsea environments. Now at Persona AI, Jide is focused on building industrial humanoids that can do real work in places where traditional automation struggles. The conversation explores why shipbuilding is such a compelling first market, why the humanoid form factor matters in cluttered human-built environments, and what robotics companies often underestimate about deployment, maintenance, workflow integration, and customer adoption. Highlights: Jide’s path from NASA Johnson Space Center to Nauticus Robotics, and how building robots for space and subsea environments shaped his view of commercial robotics.What changed in 2024 that shifted him from humanoid skeptic to founder, including stronger component supply chains, better simulation tools, reinforcement learning, behavior mimicry, and embodied AI.Why Persona AI is starting with heavy industries like shipbuilding, energy, construction, and manufacturing rather than homes, offices, or retail environments.The labor gap in skilled trades, including welders, grinders, painters, and fabricators, and why Persona sees humanoids as an alternative labor solution for industrial operators.Why humanoids do not need to look human, but do need the mobility, dexterity, and flexibility to work in spaces designed around human bodies and hands.What shipyards reveal about automation: tight spaces, massive structures, fragmented workflows, and the surprising reality that welders may spend only a small portion of their day actually welding.The challenge of moving from impressive demos to industrial deployments, including transparency with customers, realistic POCs, expectation management, and proving reliability over time.How Persona evaluates first deployments by looking at robot density, task value, customer readiness, cost of the current workflow, and the likelihood of real adoption.Why the challenge is not just hardware or autonomy, but the entire stack: mechanical design, embedded systems, controls, perception, autonomy, fleet management, manufacturing, operations, and customer workflow integration.What a successful early deployment could look like, from rugged robots surviving shipyard environments to reliably laying down welds in small and medium block assembly.The breadth of talent required to build humanoids, from actuation, structures, mechanisms, embedded software, controls, manipulation, locomotion, perception, autonomy, data collection, ML, manufacturing, supply chain, and operations.Why ML, autonomy, manipulation, and grasping talent are especially hard to find in today’s robotics market.How Jide thinks about culture, communication, and company building as COO, including why his “product” is now the team, the operating system, and the way Persona scales.The future Jide wants to see: humans moved away from dangerous physical work and upskilled into robot operators, fleet managers, and technical supervisors.Jide’s advice for anyone building robotics that changes the physical world: talk to customers, listen deeply, strip away assumptions, and get ready for hard work.For anyone building robots, hiring robotics teams, or trying to understand where humanoids will actually create economic value, this conversation offers a grounded look at the long road from demo videos to real industrial deployment. Learn more about Persona AI: LinkedIn: https://www.linkedin.com/company/persona-humanoids-at-work/posts/?feedView=allX / Twitter: https://x.com/personaaiincInstagram: https://www.instagram.com/persona_ai_official/YouTube: https://www.youtube.com/@persona_ai_incConnect with Jide Akinyode on LinkedIn: https://www.linkedin.com/in/jideakinyode/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregtoroosian/

    49 phút
  3. Making Material Movement Autonomous with Michael Lawrence

    10 thg 6

    Making Material Movement Autonomous with Michael Lawrence

    Autonomous forklifts and pallet jacks may generate plenty of headlines, but the real challenge isn't building robots that can move. It's building solutions that fit seamlessly into existing operations, deliver measurable ROI, and earn customer trust over years of deployment. Michael Lawrence, Director of Sales and Business Development at Anantak Robotics, joins Greg to discuss what it actually takes to bring autonomous material handling systems into warehouses and manufacturing environments. Drawing on a career that spans electrical engineering, entrepreneurship, robotics, and commercial strategy, Michael shares why successful automation is as much about partnerships, process design, and customer education as it is about technology. At Anantak Robotics, Michael helps bridge the gap between technical capability and operational reality, helping customers deploy autonomous tuggers, pallet jacks, and forklifts that solve real-world material movement challenges without forcing facilities to redesign how they work. In this conversation, Greg and Michael explore: Why many robotics companies underestimate the importance of business ecosystems, service networks, and partnerships when bringing automation to marketThe lessons Michael learned building his first autonomous construction equipment company and how they shaped his view of commercializationWhy warehouse automation sales cycles often take years, not months, and what separates successful deployments from stalled pilot projectsHow Anantak approaches autonomous material handling with tuggers, pallet jacks, and forklifts designed for existing warehouse and manufacturing environmentsThe importance of fitting into customer workflows rather than forcing facilities to adapt to the technologyWhere autonomous material movement delivers the fastest ROI and why clearly defined operating procedures accelerate adoptionWhat "practical autonomy" looks like in messy, real-world environments filled with variability, edge cases, and imperfect conditionsWhy customer champions, change management, and operator feedback are critical ingredients for long-term deployment successThe role of humans in the loop and why robots are best viewed as tools that eliminate repetitive tasks rather than replace peopleCommon misconceptions customers have about warehouse automation and how education helps close the expectation gapWhy Michael believes many robotics companies focus on building technically impressive products instead of solving the problems customers actually care aboutHis perspective on humanoid robots, material handling automation, and where the industry is headed over the next decadeHow consolidation, improved capabilities, and growing customer familiarity could drive the next major wave of warehouse automation adoptionFor anyone building robotics companies, deploying automation, or trying to understand what separates hype from real-world value creation, this episode offers a grounded look at how practical autonomy is reshaping material handling operations one deployment at a time. Learn more about Anantak Robotics: Website: anantak.comEmail: sales@anantak.comLinkedIn: linkedin.com/company/anantak-roboticsConnect with Michael Lawrence on LinkedIn: https://www.linkedin.com/in/mglaw/ Connect with Greg Toroosian on LinkedIn: https://www.linkedin.com/in/gregtoroosian/

    45 phút
  4. Building the Foundation Model for Construction with Francesco Iorio

    3 thg 6

    Building the Foundation Model for Construction with Francesco Iorio

    Construction is one of the world’s largest industries, yet much of the design process still depends on manual coordination, long hours, and workflows that struggle to keep pace with growing project complexity. Francesco “Frio” Iorio, co-founder and CEO of Augmenta, joins Greg to explore how AI-native design tools could fundamentally reshape the future of construction, engineering, and collaboration across the built environment. Before founding Augmenta, Frio spent years working in computational science, generative design, and advanced AI systems at Autodesk Research. His experience applying artificial intelligence to manufacturing, aerospace, and simulation eventually led him toward one of the hardest design problems imaginable: construction. At Augmenta, he and his team are building AI systems capable of generating detailed construction blueprints for electrical systems and eventually entire buildings, helping contractors and engineers dramatically compress timelines while reducing burnout and coordination overhead. In this conversation, Greg and Frio explore: Why construction presents a fundamentally different AI challenge than software or manufacturing, and why design in the built environment has “no amortization”How Augmenta’s AI generates construction-ready electrical blueprints from scratch, similar to how AI coding agents generate softwareWhy building design is ultimately a geometry, constructability, and real-world reasoning problem rather than a language problemThe hidden complexity of “unwritten rules” in construction, and how AI must learn the field knowledge that experienced foremen and electricians develop over decadesHow AI-driven design can reduce weeks of coordination work into days or even hours on hospitals, data centers, and other mission-critical infrastructure projectsWhy contractor burnout, labor shortages, and compressed schedules are accelerating demand for AI-powered workflowsThe challenge of building trust with contractors and field teams, and why deep customer collaboration became essential to Augmenta’s product developmentWhat Augmenta’s five-year strategic partnership with EJ Electric signals about the broader construction industry’s readiness for advanced AI adoptionHow AI could reshape collaboration between engineers, contractors, owners, and specialty trades by compressing pre-construction timelines and improving coordinationWhy Frio believes the biggest impact of AI in construction will not just be automation, but a fundamental restructuring of how projects are delivered and how companies operateFor anyone interested in AI for physical industries, construction technology, or the future of engineering workflows, this episode offers a deep look into how intelligent systems could transform the way buildings are designed and delivered. Learn more about Augmenta: https://www.augmenta.ai/https://www.linkedin.com/company/augmenta-ai/posts/?feedView=allConnect with Francesco Iorio on LinkedIn: https://www.linkedin.com/in/francescoiorio/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregtoroosian/

    46 phút
  5. Robots Don’t Replace Work. They Redesign It. — with Michelle Lo

    27 thg 5

    Robots Don’t Replace Work. They Redesign It. — with Michelle Lo

    As robotics and AI reshape manufacturing, the hardest challenge is often not the technology itself. It is helping people, processes, and entire organizations successfully adapt to it. GrayMatter Robotics is tackling that challenge head-on by building AI-powered automation systems designed for real-world manufacturing environments where variability, human expertise, and operational complexity are everywhere. Michelle Lo, Director of Customer Strategy and Success at GrayMatter Robotics, joins Greg to discuss what it actually takes to deploy automation in high-mix manufacturing environments. Drawing from her background in electric vehicles and industrial automation, Michelle shares why successful robotics adoption depends just as much on customer alignment, operator trust, and long-term partnership as it does on the robots themselves. Greg and Michelle explore the realities of manufacturing transformation, from backlog-driven demand and workforce shortages to the nuanced collaboration between humans and robots on the factory floor. They also unpack why configurable automation platforms are enabling faster deployment cycles, how manufacturers evaluate ROI beyond labor replacement, and why “perfect” automation is not always what customers actually want. Highlights: Michelle’s journey from EVs and automotive manufacturing into customer strategy and robotics at GrayMatter RoboticsWhy automation adoption is a long-term transformation journey rather than a one-time deploymentThe hidden labor shortages driving demand for automation across industries like aerospace, specialty vehicles, and industrial manufacturingHow GrayMatter Robotics partners directly with operators during deployment to improve adoption and long-term successThe difference between configurable automation platforms and fully custom systems and why deployment speed mattersWhy manufacturers evaluate robotics based on throughput, consistency, quality, and capacity rather than simple labor replacementLessons from real-world production environments where no two parts, surfaces, or workflows are ever exactly the sameHow AI-powered automation systems adapt to high-mix manufacturing environments with constantly changing variablesMichelle’s perspective on humanoid robots and why purpose-built industrial systems are often better suited for manufacturing tasksThe surprising reality that some customers intentionally want “imperfect” robotic finishes to preserve the familiar look and feel of legacy productsHow AI and predictive factory intelligence could optimize everything from workflow orchestration to production efficiency in the near futureWhat makes a successful automation partnership before, during, and after deploymentIf you are building automation for manufacturing, deploying robotics at scale, or navigating the human side of industrial transformation, this episode offers a grounded look at how AI-powered systems are changing the factory floor while keeping people at the center of the process. Learn more about GrayMatter Robotics: https://graymatter-robotics.com/https://www.linkedin.com/company/graymatter-robotics/https://x.com/GrayMatterRobotConnect with Michelle on LinkedIn: https://www.linkedin.com/in/michlo/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregtoroosian/

    42 phút
  6. Conviction Before Consensus - Outlander VC with Paige Craig

    20 thg 5

    Conviction Before Consensus - Outlander VC with Paige Craig

    From bootstrapping a defense intelligence startup with five credit cards to backing some of the most ambitious robotics and autonomy companies in the world, Paige Craig has built his career around one core belief: exceptional people matter more than polished ideas. In this conversation, Paige Craig, founder and managing partner of Outlander VC, joins Greg to unpack how his unconventional path through the Marine Corps, intelligence work, and entrepreneurship shaped his philosophy as an investor. Paige shares why he spends more time analyzing founders than products, how his team evaluates leadership under chaos, and why physical AI and robotics will define the next two decades of innovation. The discussion also dives deep into the realities of robotics deployment, the hidden complexity behind autonomy, and what separates founders who can survive the brutal transition from prototype to real-world scale. Highlights: Paige’s journey from a difficult childhood and military service to building and bootstrapping a multi-hundred-million-dollar intelligence companyWhy Outlander VC invests at the “pre-conception” stage, backing founders before products or customers existThe 38-point founder framework Outlander uses to evaluate vision, intelligence, character, and executionWhy great founders often emerge from hardship, high agency, and an obsession with solving problemsThe loneliness of leadership and why Paige believes the best investors act as true problem-solving partnersHow Outlander structures conviction-driven investing, including single-partner authority to write early checksWhy physical AI, robotics, and automation are entering a massive growth cycle driven by AI, manufacturing reshoring, and falling hardware costsThe biggest differences between investing in robotics versus pure software startupsWhy cheap, rapidly deployable robots often outperform “exquisite” high-cost systems in the race toward autonomyLessons from backing Coco Robotics and Havoc AI, including the realities of deploying robots into unpredictable real-world environmentsThe overlooked operational challenges of robotics businesses: supply chains, government relations, field operations, and human oversightWhy many robotics founders underestimate the difficulty of scaling hardware systems outside the labPaige’s perspective on defense tech investing, the influx of “tourist VCs,” and what founders should look for in strategic investorsThe leadership gaps technical founders often face as companies scale, and how mentorship can help engineering leaders grow into organizational leadership rolesWhy AI may fundamentally reshape the future role of engineering leadership and startup team structuresConnect with Paige Craig on LinkedIn: https://www.linkedin.com/in/paigecraig/ Learn more about Outlander VC: https://outlander.vc/ Connect with Greg Toroosian on LinkedIn: https://www.linkedin.com/in/gregtoroosian/

    53 phút
  7. Building Robots People Trust: The Andromeda Vision with Grace Brown

    13 thg 5

    Building Robots People Trust: The Andromeda Vision with Grace Brown

    From engineering-first robots to emotionally intelligent companions, Andromeda Robotics is redefining what human-robot interaction can look like in the real world. Grace Brown, founder and CEO of Andromeda Robotics, joins Greg to share her journey from a STEM-obsessed student in Australia to building one of the most distinctive companies in the humanoid robotics space. What started as a response to isolation during COVID has evolved into Abby, a social companion robot designed to bring meaningful connection into aged care environments. Rather than optimizing for flashy demos or industrial efficiency, Grace and her team are focused on something far more complex: building robots that people trust, relate to, and genuinely care about. In this conversation, she unpacks why emotional intelligence is the missing layer in robotics, how design and psychology shape adoption, and what it will take for humanoids to scale in human environments. Highlights: Grace’s early path into engineering and how a clear passion for math, physics, and problem-solving led her toward robotics from a young ageThe founding story of Andromeda Robotics and how strict COVID lockdowns in Australia exposed the real-world impact of lonelinessWhy Abby was designed as a character, not a tool, and how Pixar-inspired design principles drive trust and adoptionThe overlooked challenge of social acceptance in robotics and why capability alone is not enough to succeed in human environmentsReal-world deployments of Abby in aged care facilities and what the team has learned from observing how people actually interact with robotsThe importance of personalization in human-robot interaction, from voice tuning to behavioral adaptation for individual usersWhy emotional intelligence and “social awareness” will be critical for all robots working alongside humans, even outside consumer settingsThe interdisciplinary nature of building social robots, combining engineering, animation, healthcare insight, and operationsHow Grace thinks about hiring, from early generalists to later specialists, and why mission alignment is the most important filterThe concept of “anti-selling” during hiring to attract people who truly want ownership and responsibility in a startup environmentUsing AI agents internally to accelerate iteration speed and rethink how teams build and operate in modern startupsThe broader responsibility of shaping the future of robotics and why who builds this technology will determine its impact on societyLearn more about Andromeda Robotics: Youtube: https://www.youtube.com/@AndromedaRoboticsWebsite: https://andromedarobotics.ai/LinkedIn: https://www.linkedin.com/company/andromedarobotics/posts/?feedView=allConnect with Grace Brown: Instagram: https://www.instagram.com/grace.jbrown/LinkedIn: https://www.linkedin.com/in/grace-brown-619b59161/Connect with Greg Toroosian: https://www.linkedin.com/in/gregtoroosian/

    42 phút
  8. Rethinking Defect Detection in Modern Manufacturing with Matt Puchalski

    6 thg 5

    Rethinking Defect Detection in Modern Manufacturing with Matt Puchalski

    From autonomous vehicles to factory floors, a new wave of vision technology is transforming how manufacturers think about quality. Bucket Robotics is at the center of that shift, bringing simulation-driven inspection systems to an industry long reliant on manual checks and outdated tooling. Matt Puchalski, founder and CEO of Bucket Robotics, joins Greg to share how his experience in self-driving cars shaped a fundamentally different approach to quality inspection. Instead of relying on expensive hardware or months of data collection, his team is using CAD-based simulation to generate training data instantly, unlocking faster deployment, lower costs, and more scalable automation. We explore why quality inspection remains one of the most painful bottlenecks in manufacturing, how legacy vision systems have failed to keep up, and what it takes to build robots that actually work outside of polished demos. Highlights: Matt’s journey from Georgia Tech and Michelin to autonomy startups and ultimately founding Bucket RoboticsWhy quality inspection is still one of the most manual, inconsistent, and frustrating parts of manufacturingThe core insight behind Bucket: applying self-driving car vision systems to factory environmentsHow CAD-based simulation replaces months of data collection with minutes of synthetic training dataThe “sim-to-real” challenge and why perception in changing lighting and environments is harder than it looksWhy most vision systems fail in production and how Bucket is designed for real-world robustness from day oneLessons from early market assumptions, including why medical device manufacturing was not the right starting pointThe economics of inspection: balancing cost, speed, and accuracy across high-mix and high-volume environmentsWhat makes a strong customer fit, from ambiguous defect definitions to expensive rework caught too lateCommon objections from manufacturers burned by legacy vision systems and how simulation changes the equationWhy labor shortages and supply chain reshoring are accelerating demand for automated quality solutionsHiring for empathy in robotics and why understanding the end operator matters more than credentialsThe importance of engineers who ship, not just prototype, and why early adopters beat bleeding edge thinkersHard-earned hiring lessons, especially the need for teams willing to travel and work onsite with customersWhere robotics is overhyped today, especially around deployment at scale versus polished demosWhy lightweight, lower-cost robotic systems are unlocking a new wave of practical automationMatt’s view on the future of manufacturing: a hybrid human and robotic workforce rather than full autonomyFounder reality: why building a company can feel easier than operating autonomous vehicles, but far more isolatingThe long-term vision for Bucket Robotics as the “cloud computing moment” for manufacturing quality systemsMatt's LinkedIn: https://www.linkedin.com/in/matt-puchalski/ Bucket's LinkedIn: https://www.linkedin.com/company/bucketrobotics/ Matt's email: matt@bucketrobotics.com Bucket's Youtube: https://www.youtube.com/@Bucket_Robotics Connect with Greg Toroosian: https://www.linkedin.com/in/gregtoroosian/

    50 phút
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Giới Thiệu

Machine Minds - the minds behind the machines! This is the show where we dive deep into the intricate worlds of robotics, AI, and Hard Tech. In each episode, we bring you intimate conversations with the founders, investors, and trailblazers who are at the heart of these tech revolutions. We dig into their journeys, the challenges they've overcome, and the breakthroughs that are shaping our future. Join us as we explore how these machine minds are transforming the way we live, work, and understand our world. 

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