The Robot That Can See and Feel

In this episode, Lucas and Luna explore how sensor fusion is transforming industrial robotics. They focus on one specific case: Fanuc's iRVision system, which combines 3D cameras with force-torque sensors to let robots adapt to unpredictable parts in real time. Lucas breaks down why traditional 'blind' robots can't handle variance above 0.1 millimeters, and how sensor-packed arms are now used in automotive assembly for tasks like inserting pistons without jamming. They discuss the cost decline of lidar and depth cameras, the role of synthetic data in training, and why startups like Covariant and Veo Robotics are racing to build 'robotic seeing' stacks. The episode also touches on the bottleneck in edge compute for real-time processing, and whether sensor fusion actually lowers the barrier for small manufacturers. A fresh angle on the robotics-as-a-service debate from the sensor side. #SensorFusion #IndustrialRobotics #Fanuc #iRVision #Covariant #VeoRobotics #ForceTorque #3Dcameras #Lidar #SyntheticData #RobotVision #EdgeCompute #AutomotiveAssembly #ManufacturingTech #Automation #RoboticsStartups #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo