  In this paper, we propose a path re-planning algorithm that makes robots able
to work in scenarios with moving obstacles. The algorithm switches between a
set of pre-computed paths to avoid collisions with moving obstacles. It also
improves the current path in an anytime fashion. The use of informed sampling
enhances the search speed. Numerical results show the effectiveness of the
strategy in different simulation scenarios.
