SonicSense uses a four-fingered robotic hand, each equipped with contact microphones that detect vibrations when interacting with objects. By analyzing these vibrations, SonicSense identifies the material and shape of objects, allowing robots to interact more intelligently with their environment. The system works by counting the number of cubes in a container, measuring the liquid level in a bottle, etc. showed his skills.
This development, which costs just over $200, lays the foundation for teaching robots to navigate “dynamic, unstructured environments,” scientists say. Future improvements will include more advanced object tracking algorithms and the integration of additional sensor modules such as pressure and temperature.
Source: Ferra
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