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

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

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

De : 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. Economie
Épisodes
  • Why Robot Hands Still Can't Handle a Screwdriver

    Why Robot Hands Still Can't Handle a Screwdriver
    Jun 7 2026
    Episode 36 of The Robotics Podcast dives into one of the most deceptively hard problems in manipulation: using a screwdriver. Lucas and Luna explore why robots, despite having precise force sensors and vision, struggle with rotational tools. They break down the physics of torque reaction, the 'hand-eye coordination' gap, and a key paper from MIT's CSAIL showing that even state-of-the-art robots fail on 30% of screwdriver insertions. The hosts also touch on how this limits automation in assembly and repair, and why solving it could unlock huge value in manufacturing and construction. Plus, a brief moment on how listener support keeps the show ad-free. #Robotics #RobotHands #Screwdriver #Manipulation #Torque #Assembly #Automation #MITCSAIL #ForceControl #Dexterity #Hardware #IndustrialRobots #AutonomousSystems #Technology #FexingoBusiness #BusinessPodcast #Podcast #RobotFailures Keep every episode free: buymeacoffee.com/fexingo
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    9 min
  • Why Robot Hands Still Can't Screw in a Lightbulb

    Why Robot Hands Still Can't Screw in a Lightbulb
    Jun 6 2026
    Episode 35 of The Robotics Podcast tackles a deceptively simple task that still stumps every robotic hand on the market: screwing in a lightbulb. Lucas and Luna break down the three specific failure modes — thread alignment, torque feedback, and fragile grip — using the example of a standard E26 bulb and a $120,000 industrial arm. They discuss how human instinct for 'wiggle and push' is brutally hard to code, why force-torque sensors aren't sensitive enough, and what the latest research from MIT's soft robotics lab might change. The episode also explores a surprising parallel with an earlier challenge (USB insertion) and why adding vision doesn't fix the core problem. A concise, example-rich deep dive for anyone curious about why your future robot butler still can't change a lightbulb. #RobotHands #Robotics #LightbulbChallenge #ForceTorqueSensors #SoftRobotics #MITRobotics #IndustrialRobots #Grasping #AssemblyAutomation #Technology #Podcast #TechPodcast #FexingoBusiness #BusinessPodcast #Automation #RoboticsResearch #E26Bulb #ThreadAlignment Keep every episode free: buymeacoffee.com/fexingo
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    8 min
  • Why Robot Hands Still Can't Fold a T-Shirt

    Why Robot Hands Still Can't Fold a T-Shirt
    Jun 6 2026
    Episode 34 of The Robotics Podcast tackles the deceptively difficult problem of robotic garment manipulation. Lucas and Luna explore why folding a t-shirt remains a grand challenge in robotics, from the high-dimensional state space of fabric to the limitations of current grippers and perception systems. They examine the Berkeley AutoLab's work on speed-scaling cloth manipulation, the 'Bidirectional Cloth Manipulation' paper from 2024, and why even the latest deep learning models struggle with deformable objects. The episode also touches on the broader implications for automation in logistics and home robotics, and why this problem is a litmus test for general-purpose manipulation. #Robotics #Technology #RobotHands #GarmentManipulation #DeformableObjects #BerkeleyAutoLab #ClothFolding #DeepLearning #Grasping #Perception #Automation #Logistics #HomeRobotics #FexingoBusiness #BusinessPodcast #RobotLimits #Manipulation #Research Keep every episode free: buymeacoffee.com/fexingo
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    9 min
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