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AI-enabled cockroach tracks human survivors in search and rescue missions


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Researchers developed an Urban Search And Rescue (USAR) system that uses a ‘steerable’ live cockroach.

Miniaturized machine learning-enabled infrared survivor detection system through otherwise unnavigable disaster scenarios.

It uses the Madagascar cockroach as a vehicle, and has enough power to run for several hours.

Integrated navigation system guides the biobot to a predetermined destination.

Infrared camera operating at 32×32 pixels with a 90-degree field of view.

Captures images in dark areas, and wirelessly reporting any located survivors to a command center in real time.

Sensors to monitor temperature, humidity and CO2.

A 100% success rate in environments with no or low obstacles, and a higher success rate with tall obstacles.

87% success rate in distinguishing human subjects.

Dead reckoning could be implemented as a power-saving solution in future implementations.

Attempts to recreate insectoid capabilities in purely robotic form.

Study by Nanyang Technological University.

Long way to go, but living cockroach might save your life one day

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Nanyang Technological University (NTU)

Autonomous university in Singapore.