RoboGrocery: MIT’s automated soft robot packs groceries with record accuracy

MIT's RoboGrocery uses soft sensors and advanced vision to automate grocery bagging, managing diverse items on a conveyor belt.

RGB-D cameras capture depth and color data, enabling precise identification of objects’ shapes and sizes on the conveyor belt.The new soft robotic system, developed by researchers at the institute’s Computer Science and Artificial Intelligence Laboratory , consists of soft-touch sensors, motor-based proprioception, enhanced vision technologies, and a novel algorithm.

Traditional robotic bin-packing has focused on rigid, rectangular items, often struggling with objects of different shapes, sizes, and stiffness. Additionally, the gripper’s integrated sensors measure pressure and deformation, offering insights into an object’s stiffness and fragility. This advanced system allows RoboGrocery to handle a diverse array of items effectively.To test the RoboGrocer’s efficacy, researchers randomly placed ten different, realistic grocery items on a conveyor belt and repeated this process three times. They evaluated the system by counting how often heavy items were placed on top of delicate ones.

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MIT Robogrocery Robot

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