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Science 20 Jul 2018:
Vol. 361, Issue 6399, pp. 240
DOI: 10.1126/science.361.6399.240-a
Can the quick, responsive grace of a flock of birds or school of fish be mimicked by robots in real-world environments? Vásárhelyi et al. used a flocking model that balances distance and relative velocity to enable a large group of autonomous robots to fly together in a confined space. They optimized their model with evolution-inspired algorithms, finding the settings most likely to keep robots grouped together without collisions—a challenge when there are communication delays and obstacles in the environment. The authors implemented their model on a flock of 30 real-life quadcopters outdoors, demonstrating fully autonomous, synchronized, and accident-free flight.
Sci. Robot. 3, eaat3536 (2018).