Robotics & Machine Learning Daily News2024,Issue(Mar.11) :38-38.

Guangxi University Reports Findings in Robotics (A method for studying escape be havior to terrestrial threats in rodents)

Robotics & Machine Learning Daily News2024,Issue(Mar.11) :38-38.

Guangxi University Reports Findings in Robotics (A method for studying escape be havior to terrestrial threats in rodents)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news originating from Nanning, People's Republic of China, by NewsRx correspondents, research stated, "Escape is one of the most ess ential behaviors for an animal's survival because it could be a matter of life a nd death. Much of our current understanding of the neural mechanisms underlying escape is derived from the looming paradigm, which mimics a diving aerial predat or." Our news journalists obtained a quote from the research from Guangxi University, "Yet, the idea of the looming paradigm does not account for all types of threat s like lions hunting antelopes or cats stalking mice. Escape responses to such t errestrial threats may require different strategies and neural mechanisms. Here, we developed a real-time interactive platform to study escape behavior to terre strial threats in mice. A closed-loop controlled robot was magnetically pulled t o mimic a terrestrial threat that chases a mouse. By using strong magnets and hi gh-precision servo motors, the robot is capable of moving precisely with a high spatial-temporal resolution. Different algorithms can be used to achieve single approach or persistent approach. Animal experiments showed that mice exhibited c onsistent escape behavior when exposed to an approaching robotic predator. When presented with a persistently approaching predator, the mice were able to rapidl y adapt their behavior, as evidenced by a decrease in startle responses and chan ges in movement patterns. In comparison to existing methods for studying escape behavior, such as the looming paradigm, this approach is more suitable for inves tigating animal behavior in response to sustained threats."

Key words

Nanning/People's Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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