『The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware』のカバーアート

The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware

The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware

著者： Fexingo
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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 works on a dirty factory floor. #Robotics #IndustrialRobots #AutonomousSystems #Hardware #Technology #Business #FexingoBusiness #BusinessPodcast #RobotArms #MobileManipulation #SensorFusion #Actuators #ROS #Automation #Manufacturing #Logistics #Humanoids #LabToFactory Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • Why Robot Arms Still Can't Recognise a Spilled Drink

    Why Robot Arms Still Can't Recognise a Spilled Drink
    2026/06/08
    In this episode of The Robotics Podcast, Lucas and Luna tackle a surprisingly hard problem: why even advanced robot arms struggle to identify a liquid spill on a counter. They explore the physics of specular reflection, the limits of today's vision systems, and how startups are using multispectral cameras and thermal imaging to solve it. Along the way, they reference a 2023 MIT study showing that standard lidar fails on transparent puddles, and discuss why this matters for home robotics and factory floors alike. A concrete look at one of the unsung bottlenecks in autonomous manipulation. #RobotVision #LiquidSpillDetection #SpecularReflection #RoboticsChallenge #MultispectralCameras #ThermalImaging #AutonomousManipulation #UnstructuredEnvironments #MITCSAIL #LidarLimitations #TransparentSurfaces #HomeRobotics #IndustrialAutomation #GraspingAndManipulation #ComputerVision #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • Why Robot Arms Still Can't Open a Jar

    Why Robot Arms Still Can't Open a Jar
    2026/06/08
    Episode 38 of The Robotics Podcast tackles a deceptively hard problem: why robot arms struggle with twist-off jar lids. Lucas and Luna break down the physics of rotational grip, the role of compliant torque sensors, and a 2025 MIT study that found even state-of-the-art grippers fail on 30 percent of standard mason jar tests. They contrast industrial automation with the surprising complexity of a household task, and explore what this means for assistive robotics in homes. Specific examples include the torque feedback loop, the problem of varying lid materials, and why a 2026 startup pivot from manufacturing to kitchen robotics ran into the same wall. A concrete look at how the gap between factory and home remains stubbornly wide. #RobotGrippers #JarOpening #RoboticsChallenge #MIT #TorqueControl #Compliance #AssistiveRobotics #DeformableObjects #Grasping #IndustrialRobots #HouseholdRobotics #Startup #Technology #FexingoBusiness #BusinessPodcast #TheRoboticsPodcast #AutonomousSystems #Hardware Keep every episode free: buymeacoffee.com/fexingo
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    6 分
  • Why Robot Grippers Can't Handle a Leather Belt

    Why Robot Grippers Can't Handle a Leather Belt
    2026/06/07
    Episode 37 of The Robotics Podcast explores the overlooked challenge of grasping limp, high-friction materials like leather belts. Lucas and Luna dive into the physics of friction, the limits of vacuum grippers, and why even a $50,000 robot arm fails at something a human does without thinking. They discuss real-world failures in automotive assembly and a surprising fix involving sandpaper and a software tweak. If you think robot dexterity is almost solved, this episode will change your mind. #Robotics #RobotGrippers #LeatherBelt #FrictionPhysics #AutomotiveAssembly #MaterialHandling #RobotLimitations #Grasping #IndustrialRobots #Manufacturing #TechChallenges #Automation #RobotDexterity #FexingoBusiness #BusinessPodcast #Technology #Hardware #Podcast Keep every episode free: buymeacoffee.com/fexingo
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    8 分
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