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

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


Key points from article :

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.

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Nanyang Technological University (NTU)

Autonomous university in Singapore.

Topics mentioned on this page:
Brain Interface