The study was published in PLOS Computational Biology by Delyle Polet and John Bertram of the University of Calgary in Alberta, Canada. When unconstrained at a given speed, members of a quadrupedal species will generally select a common gait, which is seldom unique to that species alone.
With few exceptions, mammals choose a walk at slow speeds, a running trot at intermediate speeds, and a gallop at high speeds. The consistency of gait choice is remarkable, given how many alternatives exist. In the new study, Polet and Bertram explore why quadrupedal mammals move in such consistent ways when so many options are available. They tackled this problem by determining energetically optimal gaits using a simple computational model of a four-legged animal.
ng and suggest mammals utilize movement strategies that optimize energy use when they move.
Polet said, we didn't tell the computer what gait it should choose, but it found natural gaits anyway. It was surreal to essentially plug some physics into a computer program, press play, and see it 'decide' to walk like a dog.
In particular, the results provide evidence for the global optimality of walking at low speeds and running or trotting at intermediate speeds, at least for a dog-like morphology.
According to the authors, this strongly suggests that these gaits are globally optimal strategies at their respective speeds
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