Latest / The Robotics Podcast with Fexingo: Autonomous Systems, Industrial Robots, and Hardware
Why Robot Arms Still Can't Peel a Potato
Lucas and Luna dig into one of robotics' most stubborn problems: dextrous manipulation of soft, irregular objects. They focus on why peeling a potato is surprisingly harder than assembling a car, and how a team at Carnegie Mellon used a $200 force sensor and a lot of machine learning to get closer. The episode covers the physics of variable stiffness, the limits of current grippers, and why a simple kitchen task remains a benchmark for robotic dexterity. Listeners will walk away understanding why your Roomba won't be making dinner anytime soon.
#Robotics #Manipulation…
The skinny
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