Why Robot Arms Still Can't Trust Their Own Force Sensors

Episode 23 of The Robotics Podcast digs into a hidden bottleneck in industrial robotics: force-torque sensor reliability. Lucas explains why even a $100,000 robot arm can't tell if it's tightening a bolt or crushing an egg, and Luna brings in a real-world case from a battery assembly line where false sensor readings caused a 12% scrap rate. They discuss the physics behind sensor drift, why calibration is still a manual art, and how companies like ATI Industrial Automation and Robotiq are trying to solve it. Along the way, they reveal the listener-funded model that keeps the show ad-free — no breaks, no sponsors, just a buy me a coffee dot com slash fexingo link for those who find value in the episodes. If today's tech conversation gave you something usable, the show stays alive because a handful of listeners chip in monthly. No pitch, just context. #ForceTorqueSensors #IndustrialRobots #RobotCalibration #ATIIndustrialAutomation #Robotiq #BatteryAssembly #Manufacturing #SensorDrift #Robotics #Automation #FexingoBusiness #BusinessPodcast #FexingoTech #TechnologyPodcast #LucasAndLuna #RobotArm #QualityControl #AdFreePodcast Keep every episode free: buymeacoffee.com/fexingo