A geometric algorithm exploits the inherent geometry of the problems. For example, geometric optimization problems are induced by a collection of geometric objects,
whose solution requires the design of efficient geometric algorithms. The field of Computational Geometry studies fundamental concepts and techniques to solve geometric problems.
It is an exciting field that combines clever algorithmic techniques and beautiful geometric structures to obtain general techniques for the efficient storage and processing of spatial data.
The GALGO group has developed efficient algorithms for a range of fields,
including classification problems, computational analysis of flamenco music, and aerial robotics planning.
Currently, the group is engaged in projects focused on algorithm design and artificial intelligence to optimize
the tasks of drone teams for the supervision of solar thermal plants.