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Explore Thank the universe this creature is so small #Dragonfly #BioMaxing #Biomechanics #Biomimicry with 1,998,844 views, 119,014 likes, and 675 comments. Experience the impact of this video content that has captured audience attention.

Welcome to episode 3 of Bio Maxing, a series where we meet the ultimate beasts of every habitat. This time, the dragonfly, a tiny insect with some of the most remarkable engineering in the animal kingdom. A lion catches its prey roughly 25% of the time. Dragonflies capture their prey about 95% of the time, one of the highest hunting success rates ever recorded in a predator, though the figures come from different studies and methods. The reason isn’t raw speed. Researchers at the Howard Hughes Medical Institute’s Janelia Research Campus found that dragonflies steer using internal predictive models of their prey’s movement (Mischiati et al., Nature, 2015), and that a small circuit of 16 target-selective neurons carries the target’s direction from the brain to the wing muscles (Gonzalez-Bellido et al., PNAS, 2013). The dragonfly flies to where its prey will be, not where it is. Its flight is just as unusual. A dragonfly controls each of its four wings independently, which lets it hover, fly backwards and change direction mid-air. The engineering starts in the larval stage, when the dragonfly lives underwater. The nymph hunts with an extendable mouthpart called the labial mask. In 2021, researchers at Kiel University in Germany (Büsse, Koehnsen, Rajabi and Gorb, Science Robotics) found evidence that it works as a synchronized dual-catapult system, two spring-loaded catapults loaded independently and fired together, with the energy stored in an elastic structure in the head. The team built a robotic arm based on the design. The nymph also has a built-in jet engine. By squeezing water out of a chamber at its rear end, it propels itself forward, an escape response similar to that of squid. The same chamber is used for breathing. Source: Mischiati, M. et al. (2015), Internal models direct dragonfly interception steering, Nature. Gonzalez-Bellido, P.T. et al. (2013), Eight pairs of descending visual neurons in the dragonfly give wing motor centers accurate population vector of prey direction, PNAS. Büsse, S., Koehnsen, A., Rajabi, H. and Gorb, S.N. (2021), A controllable dual-catapult system inspired by the biomechanics of the dragonfly larvae’s predatory strike, Science Robotics. Stay curious! #Dragonfly #BioMaxing #Biomechanics #Biomimicry

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