New AI method plans spacecraft trajectories 10x faster with Bernstein polynomials

Researchers have developed a new trajectory planning method using composite Bernstein polynomials that enables autonomous systems to navigate complex environments with unprecedented efficiency. The symbolic optimization framework generates continuous, collision-free paths by treating obstacles as continuous cost fields rather than discrete boundaries. This approach maintains safe clearance while allowing efficient routing through constrained spaces, with demonstrations showing smooth path generation in cluttered scenarios without extensive sampling. The method applies to ground, aerial, underwater, and space systems.