The Robotics Business with Fexingo: Automation, Industrial Robots, and Hardware Startups

In episode 80 of The Robotics Business with Fexingo, Lucas and Luna explore how industrial robot arms are being trained to fold origami—a task that demands high precision, gentle force control, and adaptive manipulation. The hosts dive into a specific 2026 research collaboration between a Japanese automation firm and a university lab, where a six-axis robot learned to fold a paper crane in under 90 seconds. They discuss the technical challenges: paper's nonlinear behavior, the need for real-time force feedback, and why traditional rigid programming fails. Lucas connects this to broader trends in manufacturing, from smartphone assembly to surgical robots, where delicate handling is becoming critical. Luna asks whether this is a gimmick or a genuine step toward more dextrous automation. The episode closes with a reflection on what origami can teach us about the limits—and promise—of current robot hardware.

#RobotArms #Origami #PrecisionManufacturing #ForceControl #SoftRobotics #IndustrialAutomation #Japan #Manufacturing #DextrousManipulation #HardwareStartups #RoboticsLab #PaperFolding #RobotLearning #FexingoBusiness #BusinessPodcast #BusinessAndTechnology #Automation #Robotics

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Episode 79 of The Robotics Business. Lucas and Luna explore the surprisingly difficult problem of robotic garment folding. They break down why a task that a five-year-old can master has stumped robotics engineers for decades, focusing on the specific physics of woven fabric — non-rigid, non-linear, infinitely variable. The hosts walk through a 2025 paper from the University of Tokyo's JSK Lab that achieved a 94 percent success rate on t-shirts using a new force-sensing gripper and a learned deformation model. They discuss the commercial implications for laundry startups, the difference between structured and unstructured deformable objects, and why this breakthrough matters for the broader automation industry. By the end, listeners will understand exactly why folding a t-shirt is harder than assembling a car engine — and why that's finally changing.

#RobotHands #GarmentFolding #DeformableObjects #Robotics #Automation #UniversityOfTokyo #JSKLab #ForceSensing #LaundryRobots #Manufacturing #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #RoboticsStartup #DeepLearning #GripperTech #IndustrialRobots #HardwareStartups

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Episode 78 of The Robotics Business with Fexingo. Lucas and Luna explore the surprisingly difficult task of teaching a robot hand to pick up a raw egg without crushing it or dropping it. They focus on one startup, Soft Robotics Inc., which uses soft grippers with optical sensors and machine learning to achieve a 99.5% success rate on eggs. The conversation covers the physics of fragile gripping, the shift from pneumatic to electric soft actuators, and why this capability matters beyond eggs — for handling fruit, baked goods, and medical samples. Listeners learn the specific trade-off between grip force and cycle speed, and how Soft Robotics reduced breakage from 1 in 20 to 1 in 200. A concrete look at the next frontier in dexterous manipulation.

#SoftRobotics #RobotHands #DexterousManipulation #RoboticsStartup #MachineLearning #Automation #FoodRobotics #GripperTechnology #FragileHandling #HardwareStartup #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #IndustrialRobots #SoftGripper #EggChallenge #SensorFusion #CycleTime

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Episode 77 of The Robotics Business: Lucas and Luna examine the challenge of teaching robot arms to install drywall, a task that demands precision, strength, and adaptability. They break down the technical hurdles—from handling brittle 4x8 sheets to aligning them with studs—and profile a startup that's deploying its first units on commercial construction sites. The conversation covers sensor fusion, vacuum grippers, and the economics of replacing skilled labor in the $300 billion global construction market. Lucas shares data on worker shortages and the cost per square foot differential between human crews and robotic systems. Luna asks whether the technology is ready for messy real-world job sites. The hosts also discuss the broader implications for construction automation and what it means for building costs.

#ConstructionRobotics #DrywallInstallation #RobotArms #ConstructionAutomation #BuildingTech #CommercialConstruction #SensorFusion #VacuumGrippers #LaborShortage #ConstructionLabor #RoboticsStartup #IndustrialRobots #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #ConstructionTech #Automation #SkilledLabor

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In this episode of The Robotics Business, Lucas and Luna dive into how robot arms are being trained to perform automated functional testing of printed circuit boards — a task traditionally done by human technicians with multimeters. They look at a specific case: a contract electronics manufacturer in Shenzhen that deployed a six-axis arm from a Chinese robotics startup to run 400 continuity checks per board in under 90 seconds, slashing test costs by 60 percent. The hosts discuss the sensing challenges — teaching a robot to seat a probe precisely onto a gold-plated pad without damaging it — and why this application is a high-margin niche for robotics integrators. They also explore the economics: a single human tester costs roughly $25,000 a year in that region; a robotic test cell runs about $35,000 upfront but pays back in 18 months. Lucas and Luna debate whether in-circuit testing will ever be fully automated or if humans will always handle the edge cases. A focused look at a quiet but fast-moving corner of industrial automation.

#RobotArms #CircuitBoardTesting #PCBTesting #AutomatedTesting #IndustrialRobotics #ElectronicsManufacturing #SixAxisArm #ContractManufacturing #Shenzhen #FunctionalTesting #ContinuityCheck #TestAutomation #HardwareStartup #RoboticsIntegration #ManufacturingTech #Business #FexingoBusiness #BusinessPodcast

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Strawberries are one of the most delicate and labor-intensive crops to harvest, with growers spending up to a third of their costs on picking labor. This episode digs into how a startup called Harvest Automation is tackling the problem with a new generation of robot arms that combine computer vision, soft grippers, and machine learning to handle ripe berries without bruising them. We walk through the technical challenge: the plant's irregular structure, the need to pick only red fruit, and the gentle force required. And we look at the economics: the robot can pick about 2,000 berries per hour, compared to 15,000 for a human, but it works 20 hours a day and doesn't need benefits. The episode also touches on how the COVID-era labor shortages accelerated robotics adoption in agriculture, and what this means for the future of farm work.

#StrawberryHarvesting #AgriculturalRobotics #HarvestAutomation #SoftRobotics #ComputerVision #MachineLearning #LaborShortage #PrecisionAgriculture #RobotArm #EndEffector #CropHarvesting #PickAndPlace #BusinessAndTechnology #Automation #RoboticsStartup #FarmTech #FexingoBusiness #BusinessPodcast

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Furniture assembly is the bane of many homeowners, but for robot arms, it's a complex problem of perception, planning, and force control. In this episode, Lucas and Luna dive into a new wave of research that teaches robots to follow IKEA-like pictographic instructions, handle asymmetric parts, and apply just the right torque to avoid stripping screws. They discuss a specific 2025 study from MIT's CSAIL lab that achieved a 78 percent success rate on a 12-step chair assembly task, and why the gap between lab success and commercial viability is still measured in years—not months. The episode also touches on how furniture giants like IKEA and Wayfair are funding these projects, and what it means for the future of warehouse fulfillment and home delivery services.

#FurnitureAssembly #RobotArms #Automation #Manufacturing #IKEA #MITCSAIL #RoboticsResearch #Perception #ForceControl #IndustrialRobots #Business #Technology #FexingoBusiness #BusinessPodcast #FutureOfWork #ManufacturingTrends #AssemblyRobots #HardwareStartups

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Episode 73 of The Robotics Business: Lucas and Luna explore the surprisingly complex challenge of automating rebar tying on construction sites. They break down how Advanced Construction Robotics' TyBot system uses computer vision and a custom end-effector to twist wire ties around steel rebar mats — a task that requires precise spatial reasoning and consistent force. The hosts discuss the market size of construction labor, the technical hurdles of outdoor unstructured environments, and why this application could be a gateway for broader construction automation. Specific numbers: TyBot can tie up to 1,100 intersections per shift versus a human crew's 900, and the US rebar market is roughly a $5 billion annual labor cost. A concrete look at where robotics meets the built world.

#RebarTying #ConstructionRobotics #AdvancedConstructionRobotics #TyBot #Automation #Infrastructure #HardwareStartup #ComputerVision #RoboticEndEffector #ConstructionTech #LaborShortage #StructuralSteel #BridgeBuilding #RoadConstruction #IndustrialRobotics #BusinessAndTechnology #FexingoBusiness #BusinessPodcast

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Episode 72 of The Robotics Business with Fexingo. Lucas and Luna dive into the surprisingly difficult engineering challenge of automating pizza-making. From spreading sauce without tearing the dough to handling sticky mozzarella, they unpack why Pizza Hut and Zume faced different technical barriers and how a startup called Picnic is now deploying robot pizza stations in stadiums and kitchens. The hosts discuss the specific sensors and grippers involved, the cost-per-pizza economics, and what pizza tells us about the broader challenge of automating food preparation. If you're building or running a food business, this episode gives you a concrete case study on where robotics can work today — and where it still can't.

#PizzaRobotics #FoodAutomation #Picnic #Zume #PizzaHut #IndustrialRobots #RoboticArm #FoodTech #KitchenAutomation #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Robotics #Automation #Startup #Hardware #SensorTechnology #Grippers

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Lucas and Luna explore why opening a door is one of the hardest tasks for a robot arm. They break down the physics of door handles, the need for force control versus position control, and how a startup called Covariant has trained its robots to handle unlatching, pulling, and holding doors open in warehouses. Lucas explains the difference between a lever handle and a round knob from a robotics perspective, and why the recent breakthroughs in tactile sensing are making door-opening practical. The hosts also touch on the broader implications for mobile manipulation: if a robot can open a door, it can move between rooms autonomously. A concrete look at a single capability that unlocks entire new use cases in logistics and manufacturing.

#RobotArms #DoorOpening #Covariant #ForceControl #TactileSensing #MobileManipulation #WarehouseRobots #IndustrialRobots #HardwareStartups #Automation #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Robotics #AI #MachineLearning #Logistics #Manufacturing

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