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RoboGrocery: MIT's soft robot packs groceries with record accuracy | RGB-D cameras capture depth and color data, enabling precise identification of objects’ shapes and sizes on the conveyor belt.
MIT's RoboGrocery uses soft sensors and advanced vision to automate grocery bagging, managing diverse items on a conveyor belt.
The new soft robotic system, developed by researchers at the institute’s Computer Science and Artificial Intelligence Laboratory (CSIL), consists of soft-touch sensors, motor-based proprioception, enhanced vision technologies, and a novel algorithm. According to researchers, the system, managed by a microprocessor, demonstrated robust performance with various items, including bread, chips, soup cans, and ice cream containers. For example, determining the optimal grasp direction to minimize failed attempts and efficiently handle items placed on the conveyor belt in unfavorable orientations,” said Zhang.
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