This work presents results of autonomous controlled flight and perching of a large flapping-wing robot (1.5m wingspan) on a branch. It summarizes an important milestone in GRIFFIN European Research Council (ERC) Advanced Grant of the last author of the paper, at the GRVC Robotics Lab., Uni. Sevilla.
Quantifying uncertainty and performing sensitivity analysis in real-world, large-scale numerical simulations is virtually impossible with standard methods. We show that our recently developed sensitivity-driven sparse grid interpolation methods enables these two important tasks at scale.
We proposed to use an optoelectronic oscillator to solve combinatorial optimization problems. This new machine can achieve computation acceleration by utilizing the convergence property of the physical system.
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