Researchers at the University of Pennsylvania have developed an innovative robot utilizing radio waves to improve visibility in adverse conditions such as smoke and heavy rain. This method diverges from traditional visual sensors like cameras and LIDAR, employing a rotating array to send out radio waves in all directions. An on-board AI system processes this data to create a 3D view of the environment. This technology aims to enhance search-and-rescue operations, allowing robots to see where human vision fails, although initial testing caused fire alarm disruptions that provided an unexpected challenge.
The incident was a minor setback for the team developing a robot equipped with a innovative radio-based sensing system.
What we have been trying to do here is basically help robots obtain superhuman vision to see in scenarios where human eyes or traditional visual sensors cannot.
An on-board artificial intelligence (AI) system then builds a 3D view of the environment with this information.
Subsequent tests of the bot used a clear plastic box full of smoke placed around the its spinning equipment.
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