Lucas and Luna examine the state of autonomous systems and industrial robotics, from the latest in sensor fusion and manipulation algorithms to the business realities of deploying hardware at scale. Each episode picks a specific robot class— collaborative arms, autonomous mobile robots, humanoids—and traces its technical lineage, market adoption, and the engineering trade-offs that determine whether a prototype becomes a factory staple. Lucas, with a journalist’s precision, dissects recent papers from ICRA and IROS, while Luna pushes on cost-per-unit, reliability metrics, and the supply chains behind actuators and compute modules. They name companies—Fanuc, ABB, Boston Dynamics, Agility Robotics—and the real numbers behind their deployments. Who pays for these robots? Which industries see positive ROI, and which are still waiting for the killer app? The listener leaves with a clear map of where the hardware stands and what it takes to turn a research breakthrough into a product that wo
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What is The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware?
The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware is a business podcast hosted by Fexingo, with 155 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Fexingo hosts The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware, a business show with 155 episodes published.
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Episode #159
How Robot Hands Learn to Grip a Kitchen Knife
Aug 18, 20268 minS4
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 Keep every episode free: buymeacoffee.com/fexingo
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 Keep every episode free: buymeacoffee.com/fexingo
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 Keep every episode free: buymeacoffee.com/fexingo
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 Keep every episode free: buymeacoffee.com/fexingo
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 Keep every episode free: buymeacoffee.com/fexingo
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