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Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning

Biology

Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning

Y. Flato, R. Harel, et al.

Explore the fascinating world of thermal soaring, a technique beloved by birds and gliders that utilizes updrafts of hot air. This groundbreaking study by Yoav Flato, Roi Harel, Aviv Tamar, Ran Nathan, and Tsevi Beatus offers insights into motion control learning, unveiling new efficiency metrics and demonstrating how trained networks evolve their functionalities. Immerse yourself in the rich complexities of this model-problem that bridges nature and technology.

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