On this episode of The Robotics Podcast, Lucas and Luna explore a niche problem in robotic manipulation: judging weight. Robotic hands have gotten remarkably good at gripping objects without crushing them, but they still struggle with a surprisingly basic question: will this object be heavy or light? This episode peels back the hardware and software behind tactile force sensors and inertia estimation, and makes sense of why a robot can pick up a box of nails but still be fooled by an empty one.

#Robotics #RoboticManipulation #TactileSensors #ForceSensors #WeightEstimation #Inertia #GraspControl #RobotPerception #MachineLearning #Automation #IndustrialRobots #Hardware #Sensors #RoboticHands #TechPodcast #FexingoBusiness #BusinessPodcast #Technology

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In Episode 160, Lucas and Luna explore a deceptively simple task that still stumps industrial robotics: catching. From a dropped screw to a tossed ball, the split-second timing, predictive modeling, and soft touch required push today's hardware to its limits. They break down why the challenge is less about strength and more about sensing, the physics of contact, and the gap between simulation and reality. Drawing on examples like warehouse pick-and-place systems and prosthetic research, they examine what catching means for the future of human-robot collaboration—and why the latest advances in tactile sensing and high-speed vision might finally crack it. Expect a deep dive into the engineering trade-offs, a nod to a surprising consumer robot, and a look at how teaching robots to catch could unlock new capabilities in everything from surgery to space debris removal. If you've ever wondered why your robot vacuum can't even catch a falling sock, this episode explains the science behind the struggle.

#Robotics #Technology #RobotArms #Catching #TactileSensing #HighSpeedVision #IndustrialRobots #Automation #MachineLearning #HumanRobotCollaboration #Prosthetics #WarehouseTech #Simulation #Physics #Sensors #Manufacturing #FexingoBusiness #BusinessPodcast

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In episode 159 of The Robotics Podcast, hosts Lucas and Luna explore why robot hands still struggle to grip a kitchen knife — a tool that demands precise force, angle, and slip detection. They dive into the physics of handle shapes, the limits of current tactile sensors, and a surprising university lab that's teaching a robot to hold a chef's knife without dropping or crushing it. Along the way, they discuss the gap between warehouse grippers and dexterous manipulation, and what it takes to generalize from one handle to another. If you've ever wondered why your Roomba can't slice a tomato, this episode has the answer — and a look at what's coming next.

#Robotics #RobotHands #KitchenKnife #TactileSensors #DexterousManipulation #Gripper #Hardware #AI #MachineLearning #Tech #TechnologyPodcast #FexingoBusiness #BusinessPodcast #Engineering #IndustrialRobots #AutonomousSystems #Research #Innovation

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Lucas and Luna dig into the surprisingly hard problem of robotic hammering. Sure, a robot arm can swing a hammer with brutal force, but holding it correctly—striking the nail squarely, controlling rebound, varying force for different surfaces—remains a tough challenge. The episode breaks down the physics of impact, the role of grip stiffness and damping, and why most research focuses on pushing and squeezing rather than percussive tasks. We look at the latest approaches from labs and startups, from impedance control to learning from human demonstrations, and why a nail and a hammer are a harder test than a screwdriver or a towel. By the end, listeners will understand why the 'last inch' of manipulation isn't about strength or precision, but about managing dynamic contact—and why that matters for the next generation of home and construction robots. No stock tips, just solid engineering conversation.

#Robotics #RobotHands #Hammering #Manipulation #ImpedanceControl #Dexterity #Automation #ConstructionRobots #HomeRobots #RoboticGripper #DynamicContact #MachineLearning #Technology #Business #FexingoBusiness #BusinessPodcast #RoboticsPodcast #AI

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In this episode, Lucas and Luna explore the surprisingly tricky problem of teaching a robot hand to handle a knife blade without dulling it or cutting itself. They look at how force sensors and tactile skins work, why a blade's edge is a worst-case scenario for current hardware, and what new research from labs like MIT and Shadow Robot is doing to solve it. They also touch on the broader challenge of tool handling in automation, and why the last 20 percent of dexterity is the hardest to engineer. Along the way, they discuss the philosophy of adding compliance to grippers and why a slightly flexible finger might be the key. This is a deep dive into the sensory gap between human hands and robot grippers, with a focus on the specific case of knife work, from slicing to sharpening.

#RobotHands #KnifeBlade #TactileSensing #ForceSensors #Robotics #Automation #Dexterity #ShadowRobot #MITResearch #GripperDesign #ToolHandling #IndustrialRobots #Technology #Business #FexingoBusiness #BusinessPodcast #RoboticsPodcast #AI

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In this episode of The Robotics Podcast with Fexingo, Lucas and Luna explore a surprisingly stubborn problem in robotics: why robot arms still can't tie a knot. From surgical suturing to fishing nets, knot-tying is a complex manipulation task that involves continuous contact, flexible materials, and precise force control. The hosts discuss the physics of knots, the challenges of perception and dexterity, and recent research breakthroughs using reinforcement learning and tactile sensing. They also look at practical applications, from automated surgery to marine robotics, and what the future holds for this delicate skill. If you've ever wondered why your robot vacuum can't tie your shoelaces, this episode is for you.

#Robotics #KnotTying #SurgicalRobots #TactileSensing #ReinforcementLearning #DexterousManipulation #MarineRobotics #Technology #Automation #AI #RoboticsPodcast #FexingoBusiness #BusinessPodcast #Innovation #MachineLearning #Hardware #RoboticHands #FutureTech

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In episode 155, Lucas and Luna explore the cutting-edge world of tactile sensing for industrial robots. They move beyond the classic 'why can't robots do simple tasks' genre to ask: what happens when a robot arm can actually feel what it's holding? The episode centers on the development of high-resolution tactile sensors, like the GelSight-style sensors that use a camera and elastomer to create a 'digital skin' with unprecedented sensitivity. They discuss how these sensors are being integrated into real-world automation, from assembly lines to logistics, and why force control is the next frontier in robotics. With concrete examples and honest discussion of current limitations, the hosts explain how tactile feedback is transforming what robots can do—and what it means for jobs and manufacturing. If today's conversation gave you something usable, consider supporting the show at buy me a coffee dot com slash fexingo.

#TactileSensing #RobotHands #IndustrialRobots #ForceControl #GelSight #Automation #Robotics #Technology #Business #Manufacturing #AI #MachineLearning #FexingoBusiness #BusinessPodcast #RoboticsPodcast #TechPodcast #Innovation #FutureOfWork

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For years, robot arms have struggled with one of the most basic assembly tasks: driving a screw into a hole without stripping it, crossthreading it, or dropping the screw. Episode 154 of The Robotics Podcast digs into why this is so hard and how a new approach from a small European startup is changing the game. We break down the physics of torque control, the role of force sensing, and the clever use of a compliant wrist that mimics human hand flexibility. The result is a robot that can drive 2,000 screws in a row with zero failures, even on warped materials. We compare this to the brute-force methods used in automotive factories and explain why the new technique could slash costs for mid-sized manufacturers. Tune in to hear Lucas and Luna debate whether this is a genuine breakthrough or just an incremental step, and what it means for the future of assembly automation.

#RobotAssembly #ScrewDrivingRobot #TorqueControl #ForceSensing #CompliantWrist #IndustrialRobots #AutomationTechnology #ManufacturingInnovation #RoboticsBreakthrough #AssemblyLine #TechPodcast #FexingoBusiness #BusinessPodcast #Technology #RoboticsEngineering #PrecisionAutomation #FactoryAutomation #SmartManufacturing

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In this episode of The Robotics Podcast, Lucas and Luna dig into one of the most surprisingly stubborn challenges in automation: plugging a USB cable into a port. We look at why this task, which humans do without thinking, has stumped roboticists for decades — and how a 2026 breakthrough at a German automation lab finally cracked it. The episode centers on a specific innovation: a force-torque sensor array combined with a search algorithm that mimics how humans 'feel' for the port. We also touch on the broader implications for manufacturing and why this could be the first step toward robots that can handle any cable-based assembly. If you've ever wondered why robots can't just plug things in, this episode gives you a concrete answer — and a glimpse of what's coming next.

#Robotics #Automation #RoboticHand #USBPlug #ForceTorqueSensor #IndustrialRobots #ManufacturingTech #GermanEngineering #RobotCapabilities #Technology #Business #FexingoBusiness #BusinessPodcast #TechInnovation #AIandRobotics #Hardware #AssemblyLine #RobotSensors

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In this episode, Lucas and Luna revisit a challenge from a previous show: why robot hands can't feel a screwdriver. They trace the evolution from simple grippers to tactile sensors that measure force, vibration, and slip in real time. The focus is on a breakthrough in capacitive tactile arrays that give robots a sense of 'touch' — and how that changes what they can handle, from a screwdriver to a tomato. They discuss the physics of contact, the role of machine learning in interpreting sensor data, and a specific lab experiment where a robot successfully inserted a USB cable — a task that stumps many industrial arms. The conversation avoids hype, grounding claims in what's actually deployed in factories today versus what's still in research. They close with a look at where tactile sensing goes next: soft robotics, human-robot collaboration, and the messy, unstructured tasks that remain stubbornly hard.

#RobotHands #TactileSensors #Robotics #IndustrialAutomation #MachineLearning #Screwdriver #CapacitiveSensing #TouchSensing #DexterousManipulation #Automation #Tech #Business #FexingoBusiness #BusinessPodcast #RoboticsPodcast #FutureOfWork #Hardware #Innovation

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