In this episode of The Robotics Podcast, Lucas and Luna dive into one of the most deceptively difficult tasks for industrial robot arms: peeling a potato. Unlike gripping or cutting, peeling requires variable force, adaptive angle control, and real-time feedback to handle irregular shapes and changing surface properties. They discuss why the task remains a benchmark for dexterity, the latest research trying to crack it, and what it reveals about the gap between human and robotic manipulation. Drawing on work from MIT's soft robotics lab and a startup called DexRob, they explore tactile sensing, compliance, and why even the best PEEL-20 robot arm from Fanuc still takes twice as long as a human and bruises half the potatoes. A fascinating look at how the humble potato is pushing the boundaries of automation.